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Best Data Science and Machine Learning Platforms for Medium-Sized Businesses

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Data Science and Machine Learning Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Data Science and Machine Learning Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Data Science and Machine Learning Platforms category.

In addition to qualifying for inclusion in the Data Science and Machine Learning Platforms category, to qualify for inclusion in the Medium-Sized Business Data Science and Machine Learning Platforms category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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24 Listings in Data Science and Machine Learning Platforms Available
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Databricks Data Intelligence Platform
(608)4.6 out of 5
Optimized for quick response
4th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    205
    Features
    203
    Integrations
    138
    Easy Integrations
    116
    Data Management
    114
    Cons
    Learning Curve
    68
    Steep Learning Curve
    66
    Expensive
    59
    Missing Features
    54
    UX Improvement
    45
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.4
    Natural Language Understanding
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    79,305 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11,628 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 37% Mid-Market
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
205
Features
203
Integrations
138
Easy Integrations
116
Data Management
114
Cons
Learning Curve
68
Steep Learning Curve
66
Expensive
59
Missing Features
54
UX Improvement
45
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.4
Natural Language Understanding
Average: 8.4
8.3
Ease of Admin
Average: 8.4
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
79,305 Twitter followers
LinkedIn® Page
www.linkedin.com
11,628 employees on LinkedIn®
Vertex AI
(572)4.3 out of 5
10th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
Save to My Lists
Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Vertex AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    213
    Features
    136
    Model Variety
    134
    Machine Learning
    127
    Integrations
    101
    Cons
    Expensive
    75
    Learning Curve
    56
    Performance Issues
    49
    Complexity Issues
    48
    Complexity
    46
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Vertex AI features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,750,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,860 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Small-Business
  • 33% Enterprise
Vertex AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
213
Features
136
Model Variety
134
Machine Learning
127
Integrations
101
Cons
Expensive
75
Learning Curve
56
Performance Issues
49
Complexity Issues
48
Complexity
46
Vertex AI features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.4
8.0
Ease of Admin
Average: 8.4
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,750,646 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®

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Deepnote
(316)4.5 out of 5
2nd Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and p

    Users
    • Student
    • Data Analyst
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 70% Small-Business
    • 23% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Deepnote is a cloud-based tool for conducting analytics, with features such as real-time collaboration, AI-assisted coding, and seamless integration with various data sources.
    • Reviewers frequently mention the ease of use, intuitive interface, and the ability to share insights with team members as standout features of Deepnote.
    • Users reported occasional slow load times, especially when working with large datasets or notebooks, and some found it difficult to use without a technical background.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Deepnote Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    142
    Collaboration
    107
    Easy Integrations
    66
    Team Collaboration
    66
    Integrations
    55
    Cons
    Slow Performance
    50
    Bugs
    22
    Lagging Performance
    22
    Limited Features
    21
    Slow Loading
    21
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Deepnote features and usability ratings that predict user satisfaction
    8.1
    Application
    Average: 8.5
    8.0
    Managed Service
    Average: 8.2
    7.3
    Natural Language Understanding
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Deepnote
    Year Founded
    2019
    HQ Location
    San Francisco , US
    Twitter
    @DeepnoteHQ
    5,164 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    35 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and p

Users
  • Student
  • Data Analyst
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 70% Small-Business
  • 23% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Deepnote is a cloud-based tool for conducting analytics, with features such as real-time collaboration, AI-assisted coding, and seamless integration with various data sources.
  • Reviewers frequently mention the ease of use, intuitive interface, and the ability to share insights with team members as standout features of Deepnote.
  • Users reported occasional slow load times, especially when working with large datasets or notebooks, and some found it difficult to use without a technical background.
Deepnote Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
142
Collaboration
107
Easy Integrations
66
Team Collaboration
66
Integrations
55
Cons
Slow Performance
50
Bugs
22
Lagging Performance
22
Limited Features
21
Slow Loading
21
Deepnote features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.5
8.0
Managed Service
Average: 8.2
7.3
Natural Language Understanding
Average: 8.4
8.8
Ease of Admin
Average: 8.4
Seller Details
Seller
Deepnote
Year Founded
2019
HQ Location
San Francisco , US
Twitter
@DeepnoteHQ
5,164 Twitter followers
LinkedIn® Page
www.linkedin.com
35 employees on LinkedIn®
Read Deepnote Reviews
Hex
(233)4.5 out of 5
5th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Hex
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hex is a platform for collaborative analytics and data science. It combines code notebooks, data apps, and knowledge management, making it easy to use data and share the results. Hex brings togethe

    Users
    • Data Scientist
    • Senior Data Analyst
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Mid-Market
    • 27% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Hex is a data analysis and visualization tool that allows users to combine SQL, Python, and other coding languages in one space, offering features like drag and drop, data blending, and the ability to name the output of a SQL box into a dataframe.
    • Reviewers appreciate Hex's ease of use, its ability to facilitate collaboration, its seamless integration with various data sources, and its powerful visualization capabilities, including the 'add cells with Magic' function that generates highly accurate queries.
    • Users experienced issues with Hex's handling of large datasets, its limited customization capabilities in charts, its lack of flexibility with app features, and occasional difficulties with its drag and drop function and exiting cells.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Hex Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    120
    SQL Queries
    77
    SQL Querying
    69
    Data Management
    61
    Python Support
    60
    Cons
    Lacking Features
    38
    Missing Features
    38
    Limited Visualization
    31
    Limited Features
    29
    Poor Visualization
    29
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Hex features and usability ratings that predict user satisfaction
    6.9
    Application
    Average: 8.5
    6.8
    Managed Service
    Average: 8.2
    5.2
    Natural Language Understanding
    Average: 8.4
    8.9
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Hex Tech
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @_hex_tech
    6,009 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    167 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hex is a platform for collaborative analytics and data science. It combines code notebooks, data apps, and knowledge management, making it easy to use data and share the results. Hex brings togethe

Users
  • Data Scientist
  • Senior Data Analyst
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Mid-Market
  • 27% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Hex is a data analysis and visualization tool that allows users to combine SQL, Python, and other coding languages in one space, offering features like drag and drop, data blending, and the ability to name the output of a SQL box into a dataframe.
  • Reviewers appreciate Hex's ease of use, its ability to facilitate collaboration, its seamless integration with various data sources, and its powerful visualization capabilities, including the 'add cells with Magic' function that generates highly accurate queries.
  • Users experienced issues with Hex's handling of large datasets, its limited customization capabilities in charts, its lack of flexibility with app features, and occasional difficulties with its drag and drop function and exiting cells.
Hex Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
120
SQL Queries
77
SQL Querying
69
Data Management
61
Python Support
60
Cons
Lacking Features
38
Missing Features
38
Limited Visualization
31
Limited Features
29
Poor Visualization
29
Hex features and usability ratings that predict user satisfaction
6.9
Application
Average: 8.5
6.8
Managed Service
Average: 8.2
5.2
Natural Language Understanding
Average: 8.4
8.9
Ease of Admin
Average: 8.4
Seller Details
Seller
Hex Tech
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@_hex_tech
6,009 Twitter followers
LinkedIn® Page
www.linkedin.com
167 employees on LinkedIn®
TensorFlow
(126)4.5 out of 5
7th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TensorFlow is an open source software library for numerical computation using data flow graphs.

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 49% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • TensorFlow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Machine Learning
    22
    AI Integration
    19
    Model Variety
    17
    Ease of Use
    14
    Easy Integrations
    12
    Cons
    Steep Learning Curve
    24
    Complexity
    7
    Difficult Learning
    7
    Error Handling
    6
    Slow Performance
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • TensorFlow features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    TensorFlow
    Year Founded
    2016
    HQ Location
    Centre Urbain Nord, TN
    Twitter
    @TensorFlow
    384,520 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TensorFlow is an open source software library for numerical computation using data flow graphs.

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 49% Small-Business
  • 27% Mid-Market
TensorFlow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Machine Learning
22
AI Integration
19
Model Variety
17
Ease of Use
14
Easy Integrations
12
Cons
Steep Learning Curve
24
Complexity
7
Difficult Learning
7
Error Handling
6
Slow Performance
6
TensorFlow features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.4
7.8
Ease of Admin
Average: 8.4
Seller Details
Seller
TensorFlow
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
384,520 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
Read TensorFlow Reviews
Dataiku
(175)4.4 out of 5
6th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Dataiku
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 62% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Dataiku is a data science platform that allows both technical and non-technical users to build, deploy, and manage AI projects collaboratively, covering the entire lifecycle of a data project from data ingestion and preparation to model deployment and monitoring.
    • Users like Dataiku's user-friendly interface, its ability to handle big data sets, its seamless integration with various databases, cloud platforms, and machine learning libraries, and its robust model management tools for tracking model performance and ensuring compliance.
    • Users reported issues with Dataiku's learning curve for non-technical stakeholders, its real-time analytics capabilities, performance issues at scale, and inconsistencies in how code is executed in different parts of the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Dataiku Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    78
    Ease of Use
    75
    Usability
    42
    Productivity Improvement
    41
    Easy Integrations
    39
    Cons
    Learning Curve
    39
    Steep Learning Curve
    24
    Slow Performance
    20
    Difficult Learning
    19
    Complexity Issues
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Dataiku features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.8
    Natural Language Understanding
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    22,955 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,491 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 62% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Dataiku is a data science platform that allows both technical and non-technical users to build, deploy, and manage AI projects collaboratively, covering the entire lifecycle of a data project from data ingestion and preparation to model deployment and monitoring.
  • Users like Dataiku's user-friendly interface, its ability to handle big data sets, its seamless integration with various databases, cloud platforms, and machine learning libraries, and its robust model management tools for tracking model performance and ensuring compliance.
  • Users reported issues with Dataiku's learning curve for non-technical stakeholders, its real-time analytics capabilities, performance issues at scale, and inconsistencies in how code is executed in different parts of the platform.
Dataiku Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
78
Ease of Use
75
Usability
42
Productivity Improvement
41
Easy Integrations
39
Cons
Learning Curve
39
Steep Learning Curve
24
Slow Performance
20
Difficult Learning
19
Complexity Issues
18
Dataiku features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.8
Natural Language Understanding
Average: 8.4
8.0
Ease of Admin
Average: 8.4
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,955 Twitter followers
LinkedIn® Page
www.linkedin.com
1,491 employees on LinkedIn®
Deep Learning VM Image
(46)4.4 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Deep Learning VM Image Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    26
    Features
    14
    Setup Ease
    14
    Cloud Computing
    10
    Easy Setup
    10
    Cons
    Expensive
    14
    Cost
    7
    Learning Difficulty
    7
    Difficult Learning
    6
    Lagging Performance
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Deep Learning VM Image features and usability ratings that predict user satisfaction
    8.9
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,750,646 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,860 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 28% Mid-Market
Deep Learning VM Image Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
26
Features
14
Setup Ease
14
Cloud Computing
10
Easy Setup
10
Cons
Expensive
14
Cost
7
Learning Difficulty
7
Difficult Learning
6
Lagging Performance
5
Deep Learning VM Image features and usability ratings that predict user satisfaction
8.9
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.4
8.8
Ease of Admin
Average: 8.4
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,750,646 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®
Ownership
NASDAQ:GOOG
Read Deep Learning VM Image Reviews
IBM watsonx.ai
(79)4.5 out of 5
Optimized for quick response
15th Easiest To Use in Data Science and Machine Learning Platforms software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 35% Small-Business
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM watsonx.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    50
    Model Variety
    20
    Intuitive
    17
    Features
    16
    User Interface
    16
    Cons
    Improvement Needed
    17
    Expensive
    12
    UX Improvement
    12
    Difficult Learning
    10
    Complexity
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.4
    Natural Language Understanding
    Average: 8.4
    8.6
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    328,966 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 35% Small-Business
  • 34% Mid-Market
IBM watsonx.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
50
Model Variety
20
Intuitive
17
Features
16
User Interface
16
Cons
Improvement Needed
17
Expensive
12
UX Improvement
12
Difficult Learning
10
Complexity
9
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.4
Natural Language Understanding
Average: 8.4
8.6
Ease of Admin
Average: 8.4
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®
Azure Machine Learning
(88)4.3 out of 5
11th Easiest To Use in Data Science and Machine Learning Platforms software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Azure Machine Learning Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    11
    Features
    7
    Efficiency
    6
    Machine Learning
    6
    Easy Integrations
    5
    Cons
    Expensive
    5
    Learning Curve
    4
    Integration Issues
    3
    UX Improvement
    3
    Cost
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.9
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,002,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    234,872 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 34% Small-Business
Azure Machine Learning Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
11
Features
7
Efficiency
6
Machine Learning
6
Easy Integrations
5
Cons
Expensive
5
Learning Curve
4
Integration Issues
3
UX Improvement
3
Cost
2
Azure Machine Learning features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.9
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.4
8.3
Ease of Admin
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
234,872 employees on LinkedIn®
Ownership
MSFT
Read Azure Machine Learning Reviews
Alteryx
(637)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Data Science and Machine Learning Platforms software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 64% Enterprise
    • 22% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Alteryx is an analysis tool that is used to explore and manipulate data, connect to various databases, and automate workflows.
    • Users frequently mention the tool's user-friendly interface, its ability to connect to different databases and cloud systems, and its data blending capability from multiple sources.
    • Users reported that the tool is costly for small enterprises, has limited visualization features, and sometimes causes workflow slowdown when handling large real-time transactions.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    142
    Automation
    55
    Intuitive
    51
    Easy Learning
    44
    Ease of Learning
    42
    Cons
    Learning Curve
    40
    Expensive
    33
    Learning Difficulty
    26
    Complexity
    18
    Missing Features
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Alteryx features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.0
    Managed Service
    Average: 8.2
    8.0
    Natural Language Understanding
    Average: 8.4
    8.4
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,492 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,323 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 64% Enterprise
  • 22% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Alteryx is an analysis tool that is used to explore and manipulate data, connect to various databases, and automate workflows.
  • Users frequently mention the tool's user-friendly interface, its ability to connect to different databases and cloud systems, and its data blending capability from multiple sources.
  • Users reported that the tool is costly for small enterprises, has limited visualization features, and sometimes causes workflow slowdown when handling large real-time transactions.
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
142
Automation
55
Intuitive
51
Easy Learning
44
Ease of Learning
42
Cons
Learning Curve
40
Expensive
33
Learning Difficulty
26
Complexity
18
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.0
Managed Service
Average: 8.2
8.0
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.4
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,492 Twitter followers
LinkedIn® Page
www.linkedin.com
2,323 employees on LinkedIn®
Amazon SageMaker
(44)4.3 out of 5
16th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Amazon SageMaker
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes al

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Amazon SageMaker Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Easy Integrations
    3
    Features
    3
    Integrations
    3
    AI Integration
    2
    Integrated Platform
    2
    Cons
    Expensive
    3
    Complex Interface
    1
    Complexity
    1
    Complexity Issues
    1
    Cost
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Amazon SageMaker features and usability ratings that predict user satisfaction
    8.5
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.4
    8.4
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,471 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    146,764 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes al

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 34% Small-Business
  • 34% Enterprise
Amazon SageMaker Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Easy Integrations
3
Features
3
Integrations
3
AI Integration
2
Integrated Platform
2
Cons
Expensive
3
Complex Interface
1
Complexity
1
Complexity Issues
1
Cost
1
Amazon SageMaker features and usability ratings that predict user satisfaction
8.5
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.4
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,471 Twitter followers
LinkedIn® Page
www.linkedin.com
146,764 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Read Amazon SageMaker Reviews
Qlik AutoML
(80)4.4 out of 5
18th Easiest To Use in Data Science and Machine Learning Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Qlik AutoML Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Capabilities
    3
    AI Integration
    3
    Automation
    3
    Ease of Use
    3
    Machine Learning
    3
    Cons
    Limited Customization
    3
    Deployment Issues
    2
    Lacking Features
    2
    Beginner Difficulty
    1
    Complex Automation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Qlik AutoML features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.1
    Managed Service
    Average: 8.2
    7.6
    Natural Language Understanding
    Average: 8.4
    8.7
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    65,014 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,349 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 30% Mid-Market
Qlik AutoML Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Capabilities
3
AI Integration
3
Automation
3
Ease of Use
3
Machine Learning
3
Cons
Limited Customization
3
Deployment Issues
2
Lacking Features
2
Beginner Difficulty
1
Complex Automation
1
Qlik AutoML features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.1
Managed Service
Average: 8.2
7.6
Natural Language Understanding
Average: 8.4
8.7
Ease of Admin
Average: 8.4
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
65,014 Twitter followers
LinkedIn® Page
www.linkedin.com
4,349 employees on LinkedIn®
Phone
1 (888) 994-9854
Read Qlik AutoML Reviews
Domo
(863)4.3 out of 5
Optimized for quick response
12th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Domo
Save to My Lists
Free trial available
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 50% Mid-Market
    • 29% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Domo is a data visualization and business intelligence tool that allows users to connect, transform, visualize, and share data across various platforms.
    • Reviewers like Domo's user-friendly interface, its ability to handle large amounts of data from multiple sources, and its robust features such as automated reporting, real-time data processing, and customizable dashboards.
    • Reviewers noted some limitations in Domo's visualization options, occasional slow performance with large data sets, difficulties in finding specific features or information, and concerns about the cost structure and pricing model.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Domo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    146
    Data Visualization
    75
    Easy Integrations
    65
    Integrations
    58
    Insights
    55
    Cons
    Learning Curve
    50
    Missing Features
    36
    Data Management Issues
    34
    Expensive
    28
    Limited Customization
    24
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Domo features and usability ratings that predict user satisfaction
    5.9
    Application
    Average: 8.5
    6.4
    Managed Service
    Average: 8.2
    5.8
    Natural Language Understanding
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    65,275 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,264 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

Users
  • Data Analyst
  • Business Analyst
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 50% Mid-Market
  • 29% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Domo is a data visualization and business intelligence tool that allows users to connect, transform, visualize, and share data across various platforms.
  • Reviewers like Domo's user-friendly interface, its ability to handle large amounts of data from multiple sources, and its robust features such as automated reporting, real-time data processing, and customizable dashboards.
  • Reviewers noted some limitations in Domo's visualization options, occasional slow performance with large data sets, difficulties in finding specific features or information, and concerns about the cost structure and pricing model.
Domo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
146
Data Visualization
75
Easy Integrations
65
Integrations
58
Insights
55
Cons
Learning Curve
50
Missing Features
36
Data Management Issues
34
Expensive
28
Limited Customization
24
Domo features and usability ratings that predict user satisfaction
5.9
Application
Average: 8.5
6.4
Managed Service
Average: 8.2
5.8
Natural Language Understanding
Average: 8.4
8.0
Ease of Admin
Average: 8.4
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
65,275 Twitter followers
LinkedIn® Page
www.linkedin.com
1,264 employees on LinkedIn®
MATLAB
(737)4.5 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Users
    • Graduate Research Assistant
    • Student
    Industries
    • Higher Education
    • Research
    Market Segment
    • 43% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Usability
    6
    Features
    5
    Easy Integrations
    4
    Integrations
    4
    Cons
    Expensive
    4
    Difficult Learning
    2
    Heavy Workload Management
    2
    High System Requirements
    2
    Lacking Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • MATLAB features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.4
    8.4
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    100,116 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,666 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a programming, modeling and simulation tool developed by MathWorks.

Users
  • Graduate Research Assistant
  • Student
Industries
  • Higher Education
  • Research
Market Segment
  • 43% Enterprise
  • 30% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Usability
6
Features
5
Easy Integrations
4
Integrations
4
Cons
Expensive
4
Difficult Learning
2
Heavy Workload Management
2
High System Requirements
2
Lacking Features
2
MATLAB features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.4
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
100,116 Twitter followers
LinkedIn® Page
www.linkedin.com
7,666 employees on LinkedIn®
Read MATLAB Reviews
SAS Viya
(481)4.3 out of 5
14th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Statistical Programmer
    • Data Analyst
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 35% Enterprise
    • 32% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAS Viya is a data analytics platform that allows users to develop, visualize, and model data in a single, intuitive platform.
    • Reviewers appreciate the software's flexibility, its ability to handle large data sets, its integration with open-source technologies, and its user-friendly interface that requires little to no coding.
    • Reviewers noted that the platform can be complex for new users, its data preparation features are limited, the pricing can be vague, and the process to upload and read-in data could be easier.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • SAS Viya Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    185
    Features
    132
    Analytics
    110
    Data Analysis
    85
    Performance Efficiency
    83
    Cons
    Learning Curve
    86
    Learning Difficulty
    83
    Complexity
    79
    Expensive
    64
    Difficult Learning
    63
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Viya features and usability ratings that predict user satisfaction
    7.6
    Application
    Average: 8.5
    7.8
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.4
    7.3
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,842 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Statistical Programmer
  • Data Analyst
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 35% Enterprise
  • 32% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAS Viya is a data analytics platform that allows users to develop, visualize, and model data in a single, intuitive platform.
  • Reviewers appreciate the software's flexibility, its ability to handle large data sets, its integration with open-source technologies, and its user-friendly interface that requires little to no coding.
  • Reviewers noted that the platform can be complex for new users, its data preparation features are limited, the pricing can be vague, and the process to upload and read-in data could be easier.
SAS Viya Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
185
Features
132
Analytics
110
Data Analysis
85
Performance Efficiency
83
Cons
Learning Curve
86
Learning Difficulty
83
Complexity
79
Expensive
64
Difficult Learning
63
SAS Viya features and usability ratings that predict user satisfaction
7.6
Application
Average: 8.5
7.8
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.4
7.3
Ease of Admin
Average: 8.4
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,842 employees on LinkedIn®
Get a quote
IBM Watson Studio
(165)4.2 out of 5
21st Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM Watson Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Capabilities
    4
    AI Integration
    4
    AI Modeling
    4
    AI Technology
    4
    Ease of Use
    4
    Cons
    Learning Curve
    2
    Steep Learning Curve
    2
    Cost
    1
    Difficulty in Adjustments
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM Watson Studio features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.5
    9.3
    Managed Service
    Average: 8.2
    8.9
    Natural Language Understanding
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    328,966 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 30% Small-Business
IBM Watson Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Capabilities
4
AI Integration
4
AI Modeling
4
AI Technology
4
Ease of Use
4
Cons
Learning Curve
2
Steep Learning Curve
2
Cost
1
Difficulty in Adjustments
1
Expensive
1
IBM Watson Studio features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.5
9.3
Managed Service
Average: 8.2
8.9
Natural Language Understanding
Average: 8.4
7.8
Ease of Admin
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®
Ownership
SWX:IBM
Read IBM Watson Studio Reviews
RapidCanvas
(30)4.9 out of 5
Optimized for quick response
9th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RapidCanvas is the trusted partner for transforming your business with AI. Our hybrid approach combines autonomous AI agents with human expertise to make enterprise-grade AI accessible to all organiza

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • RapidCanvas Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Easy Integrations
    6
    Customer Support
    5
    Collaboration
    4
    AI Integration
    3
    Cons
    Filtering Issues
    1
    Limited Customization
    1
    Slow Loading
    1
    Slow Performance
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • RapidCanvas features and usability ratings that predict user satisfaction
    9.5
    Application
    Average: 8.5
    9.2
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.4
    9.3
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    RapidCanvas
    Company Website
    Year Founded
    2021
    HQ Location
    Austin, Texas
    Twitter
    @rapidcanvas
    72 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    60 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RapidCanvas is the trusted partner for transforming your business with AI. Our hybrid approach combines autonomous AI agents with human expertise to make enterprise-grade AI accessible to all organiza

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Small-Business
  • 37% Mid-Market
RapidCanvas Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Easy Integrations
6
Customer Support
5
Collaboration
4
AI Integration
3
Cons
Filtering Issues
1
Limited Customization
1
Slow Loading
1
Slow Performance
1
Steep Learning Curve
1
RapidCanvas features and usability ratings that predict user satisfaction
9.5
Application
Average: 8.5
9.2
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.4
9.3
Ease of Admin
Average: 8.4
Seller Details
Seller
RapidCanvas
Company Website
Year Founded
2021
HQ Location
Austin, Texas
Twitter
@rapidcanvas
72 Twitter followers
LinkedIn® Page
www.linkedin.com
60 employees on LinkedIn®
Get a quote
TrueFoundry
(47)4.7 out of 5
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TrueFoundry is a cloud-native PaaS that enables enterprise teams to experiment as well as productionize advanced ML and LLM workflows on their own cloud/on-prem infra with full data privacy and securi

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Mid-Market
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • TrueFoundry Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    37
    Customer Support
    29
    Deployment Ease
    23
    User Interface
    20
    Model Management
    15
    Cons
    Missing Features
    8
    Deployment Issues
    4
    Performance Issues
    3
    Software Bugs
    3
    Complexity Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • TrueFoundry features and usability ratings that predict user satisfaction
    8.1
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.1
    Natural Language Understanding
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    TrueFoundry
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, California
    LinkedIn® Page
    www.linkedin.com
    65 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TrueFoundry is a cloud-native PaaS that enables enterprise teams to experiment as well as productionize advanced ML and LLM workflows on their own cloud/on-prem infra with full data privacy and securi

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Mid-Market
  • 34% Small-Business
TrueFoundry Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
37
Customer Support
29
Deployment Ease
23
User Interface
20
Model Management
15
Cons
Missing Features
8
Deployment Issues
4
Performance Issues
3
Software Bugs
3
Complexity Issues
2
TrueFoundry features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.1
Natural Language Understanding
Average: 8.4
9.0
Ease of Admin
Average: 8.4
Seller Details
Seller
TrueFoundry
Company Website
Year Founded
2021
HQ Location
San Francisco, California
LinkedIn® Page
www.linkedin.com
65 employees on LinkedIn®
Anaconda AI Platform
(145)4.6 out of 5
Optimized for quick response
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Small-Business
    • 37% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Anaconda AI Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Tools Variety
    7
    Ease of Use
    6
    Coding Ease
    4
    Easy Integrations
    2
    Model Variety
    2
    Cons
    Data Management Issues
    2
    Slow Performance
    2
    Slow Startup
    2
    Deployment Issues
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Anaconda AI Platform features and usability ratings that predict user satisfaction
    8.9
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Anaconda, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,451 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    518 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Small-Business
  • 37% Enterprise
Anaconda AI Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Tools Variety
7
Ease of Use
6
Coding Ease
4
Easy Integrations
2
Model Variety
2
Cons
Data Management Issues
2
Slow Performance
2
Slow Startup
2
Deployment Issues
1
Expensive
1
Anaconda AI Platform features and usability ratings that predict user satisfaction
8.9
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.4
9.0
Ease of Admin
Average: 8.4
Seller Details
Seller
Anaconda, Inc.
Company Website
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,451 Twitter followers
LinkedIn® Page
www.linkedin.com
518 employees on LinkedIn®
Get a quote
Saturn Cloud
(308)4.8 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new idea

    Users
    • Data Scientist
    • Student
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 82% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Saturn Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    82
    Setup Ease
    36
    Free Services
    31
    GPU Performance
    28
    User Interface
    23
    Cons
    Limited Hours
    14
    Missing Features
    11
    Expensive
    9
    Limited Free Access
    9
    Slow Performance
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Saturn Cloud features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.5
    9.2
    Managed Service
    Average: 8.2
    9.1
    Natural Language Understanding
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Saturn Cloud
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,282 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    38 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new idea

Users
  • Data Scientist
  • Student
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 82% Small-Business
  • 12% Mid-Market
Saturn Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
82
Setup Ease
36
Free Services
31
GPU Performance
28
User Interface
23
Cons
Limited Hours
14
Missing Features
11
Expensive
9
Limited Free Access
9
Slow Performance
8
Saturn Cloud features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.5
9.2
Managed Service
Average: 8.2
9.1
Natural Language Understanding
Average: 8.4
9.2
Ease of Admin
Average: 8.4
Seller Details
Seller
Saturn Cloud
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,282 Twitter followers
LinkedIn® Page
www.linkedin.com
38 employees on LinkedIn®
Altair AI Studio
(505)4.6 out of 5
13th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o

    Users
    • Student
    • Data Scientist
    Industries
    • Higher Education
    • Education Management
    Market Segment
    • 43% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Altair AI Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    AI Integration
    5
    AI Technology
    5
    Machine Learning
    5
    AI Capabilities
    4
    Cons
    Complexity
    2
    Large Dataset Handling
    2
    Poor Performance
    2
    Slow Performance
    2
    Access Control
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Altair AI Studio features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.4
    8.4
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Altair
    Year Founded
    1985
    HQ Location
    Troy, MI
    Twitter
    @Altair_Inc
    7,294 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,269 employees on LinkedIn®
    Ownership
    NASDAQ:ALTR
Product Description
How are these determined?Information
This description is provided by the seller.

Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o

Users
  • Student
  • Data Scientist
Industries
  • Higher Education
  • Education Management
Market Segment
  • 43% Small-Business
  • 30% Mid-Market
Altair AI Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
AI Integration
5
AI Technology
5
Machine Learning
5
AI Capabilities
4
Cons
Complexity
2
Large Dataset Handling
2
Poor Performance
2
Slow Performance
2
Access Control
1
Altair AI Studio features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.4
Seller Details
Seller
Altair
Year Founded
1985
HQ Location
Troy, MI
Twitter
@Altair_Inc
7,294 Twitter followers
LinkedIn® Page
www.linkedin.com
4,269 employees on LinkedIn®
Ownership
NASDAQ:ALTR
Read Altair AI Studio Reviews
Red Hat OpenShift Data Science
(25)4.4 out of 5
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hy

    Users
    No information available
    Industries
    • Market Research
    • Marketing and Advertising
    Market Segment
    • 44% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Red Hat OpenShift Data Science Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    1
    Ease of Use
    1
    Fast Processing
    1
    Cons
    Required Knowledge
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Red Hat OpenShift Data Science features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.8
    Managed Service
    Average: 8.2
    8.6
    Natural Language Understanding
    Average: 8.4
    6.7
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Red Hat
    Year Founded
    1993
    HQ Location
    Raleigh, NC
    Twitter
    @RedHat
    295,491 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19,736 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hy

Users
No information available
Industries
  • Market Research
  • Marketing and Advertising
Market Segment
  • 44% Mid-Market
  • 36% Enterprise
Red Hat OpenShift Data Science Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
1
Ease of Use
1
Fast Processing
1
Cons
Required Knowledge
1
Red Hat OpenShift Data Science features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.8
Managed Service
Average: 8.2
8.6
Natural Language Understanding
Average: 8.4
6.7
Ease of Admin
Average: 8.4
Seller Details
Seller
Red Hat
Year Founded
1993
HQ Location
Raleigh, NC
Twitter
@RedHat
295,491 Twitter followers
LinkedIn® Page
www.linkedin.com
19,736 employees on LinkedIn®
Read Red Hat OpenShift Data Science Reviews
Posit
(558)4.5 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

    Users
    • Research Assistant
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Posit Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Open Source
    3
    Cloud Computing
    2
    Cloud Integration
    2
    Easy Integrations
    2
    Cons
    Slow Performance
    3
    Poor UI Design
    2
    UX Improvement
    2
    Error Clarity
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Posit features and usability ratings that predict user satisfaction
    8.4
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.4
    8.3
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Posit
    Year Founded
    2009
    HQ Location
    Boston, MA
    Twitter
    @posit_pbc
    123,669 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    431 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

Users
  • Research Assistant
  • Graduate Research Assistant
Industries
  • Higher Education
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 27% Mid-Market
Posit Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Open Source
3
Cloud Computing
2
Cloud Integration
2
Easy Integrations
2
Cons
Slow Performance
3
Poor UI Design
2
UX Improvement
2
Error Clarity
1
Learning Curve
1
Posit features and usability ratings that predict user satisfaction
8.4
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.4
8.3
Ease of Admin
Average: 8.4
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
123,669 Twitter followers
LinkedIn® Page
www.linkedin.com
431 employees on LinkedIn®
Read Posit Reviews
SAS Visual Data Mining and Machine Learning
(91)4.6 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Visual Data Mining and Machine Learning is a comprehensive machine learning application that provides both visual and programming interfaces for users to execute the entire machine learning pipel

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 18% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • SAS Visual Data Mining and Machine Learning Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Dashboard Management
    1
    Machine Learning
    1
    Model Variety
    1
    Cons
    Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Visual Data Mining and Machine Learning features and usability ratings that predict user satisfaction
    9.0
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,842 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS® Visual Data Mining and Machine Learning is a comprehensive machine learning application that provides both visual and programming interfaces for users to execute the entire machine learning pipel

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 44% Enterprise
  • 18% Small-Business
SAS Visual Data Mining and Machine Learning Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Dashboard Management
1
Machine Learning
1
Model Variety
1
Cons
Complexity
1
SAS Visual Data Mining and Machine Learning features and usability ratings that predict user satisfaction
9.0
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.4
8.8
Ease of Admin
Average: 8.4
Seller Details
Seller
SAS Institute Inc.
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,842 employees on LinkedIn®
Phone
1-800-727-0025
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