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Best Machine Learning Software for Small Business

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Machine Learning category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Machine Learning 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 Small Business Machine Learning category.

In addition to qualifying for inclusion in the Machine Learning Software category, to qualify for inclusion in the Small Business Machine Learning Software category, a product must have at least 10 reviews left by a reviewer from a small 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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13 Listings in Small Business Machine Learning Available

(572)4.3 out of 5
4th Easiest To Use in Machine Learning software
View top Consulting Services for Vertex AI
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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
    8.2
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.4
    8.2
    Quality of Support
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,753,487 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
8.2
Has the product been a good partner in doing business?
Average: 8.7
8.3
Ease of Use
Average: 8.4
8.2
Quality of Support
Average: 8.4
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,753,487 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®
(79)4.5 out of 5
Optimized for quick response
7th Easiest To Use in Machine Learning 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
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    9.1
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    710,022 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
8.9
Has the product been a good partner in doing business?
Average: 8.7
9.1
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
8.6
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,022 Twitter followers
LinkedIn® Page
www.linkedin.com
328,966 employees on LinkedIn®

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(81)4.3 out of 5
9th Easiest To Use in Machine Learning software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% Small-Business
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Forecast 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
    1
    Integrations
    1
    Machine Learning
    1
    Scalability
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Forecast features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Ease of Use
    Average: 8.4
    8.8
    Quality of Support
    Average: 8.4
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,411 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 Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% Small-Business
  • 31% Mid-Market
Amazon Forecast 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
1
Integrations
1
Machine Learning
1
Scalability
1
Cons
This product has not yet received any negative sentiments.
Amazon Forecast features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
8.5
Ease of Use
Average: 8.4
8.8
Quality of Support
Average: 8.4
7.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,411 Twitter followers
LinkedIn® Page
www.linkedin.com
146,764 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or p

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 67% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aerosolve 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
    8
    Customer Support
    2
    Features
    2
    Problem Solving
    2
    Deployment Ease
    1
    Cons
    Slow Speed
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aerosolve features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.7
    8.4
    Ease of Use
    Average: 8.4
    8.7
    Quality of Support
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Airbnb
    Year Founded
    2007
    HQ Location
    San Francisco, CA
    Twitter
    @Airbnb
    864,565 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    54,954 employees on LinkedIn®
    Ownership
    NASDAQ: ABNB
Product Description
How are these determined?Information
This description is provided by the seller.

Aerosolve is a machine learning package built for humans its library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or p

Users
No information available
Industries
  • Computer Software
Market Segment
  • 67% Small-Business
  • 28% Mid-Market
Aerosolve 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
8
Customer Support
2
Features
2
Problem Solving
2
Deployment Ease
1
Cons
Slow Speed
1
Aerosolve features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.7
8.4
Ease of Use
Average: 8.4
8.7
Quality of Support
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Airbnb
Year Founded
2007
HQ Location
San Francisco, CA
Twitter
@Airbnb
864,565 Twitter followers
LinkedIn® Page
www.linkedin.com
54,954 employees on LinkedIn®
Ownership
NASDAQ: ABNB
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NVIDIA Jarvis is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 15% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Jarvis features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.7
    9.3
    Ease of Use
    Average: 8.4
    9.0
    Quality of Support
    Average: 8.4
    6.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,365,753 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    40,329 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

NVIDIA Jarvis is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 15% Mid-Market
Jarvis features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.7
9.3
Ease of Use
Average: 8.4
9.0
Quality of Support
Average: 8.4
6.7
Ease of Admin
Average: 8.5
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,365,753 Twitter followers
LinkedIn® Page
www.linkedin.com
40,329 employees on LinkedIn®
Ownership
NVDA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    B2Metric is an AI/ML-powered data analytics platform that enables marketing, data analytics, and CRM teams to better understand customer trends and behaviors. B2Metric uses machine learning to aut

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 52% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • B2Metric 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
    23
    Productivity Improvement
    18
    Insights
    15
    Results
    12
    Analytics
    11
    Cons
    Learning Curve
    10
    Difficult Learning
    4
    Integration Issues
    3
    Technical Expertise Required
    3
    Complex Implementation
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • B2Metric features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.7
    9.8
    Ease of Use
    Average: 8.4
    9.7
    Quality of Support
    Average: 8.4
    9.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    B2Metric
    Year Founded
    2018
    HQ Location
    Menlo Park, California
    Twitter
    @B2Metric
    253 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    36 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

B2Metric is an AI/ML-powered data analytics platform that enables marketing, data analytics, and CRM teams to better understand customer trends and behaviors. B2Metric uses machine learning to aut

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 52% Small-Business
  • 30% Mid-Market
B2Metric 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
23
Productivity Improvement
18
Insights
15
Results
12
Analytics
11
Cons
Learning Curve
10
Difficult Learning
4
Integration Issues
3
Technical Expertise Required
3
Complex Implementation
2
B2Metric features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.7
9.8
Ease of Use
Average: 8.4
9.7
Quality of Support
Average: 8.4
9.8
Ease of Admin
Average: 8.5
Seller Details
Seller
B2Metric
Year Founded
2018
HQ Location
Menlo Park, California
Twitter
@B2Metric
253 Twitter followers
LinkedIn® Page
www.linkedin.com
36 employees on LinkedIn®
(481)4.3 out of 5
11th Easiest To Use in Machine Learning 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 tool that handles large amounts of data and complex analytics, integrating different analytical tools for project management.
    • Reviewers like the tool's ability to handle large data sets, its integration with open-source technologies, its intuitive interfaces, and its centralized platform that encourages collaboration.
    • Reviewers mentioned that SAS Viya can be overwhelming for new users due to its complex interface and steep learning curve, and it requires an internet connection to run, which can be expensive in areas where WiFi is not readily available.
  • 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
    8.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.2
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    7.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,908 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 tool that handles large amounts of data and complex analytics, integrating different analytical tools for project management.
  • Reviewers like the tool's ability to handle large data sets, its integration with open-source technologies, its intuitive interfaces, and its centralized platform that encourages collaboration.
  • Reviewers mentioned that SAS Viya can be overwhelming for new users due to its complex interface and steep learning curve, and it requires an internet connection to run, which can be expensive in areas where WiFi is not readily available.
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
8.0
Has the product been a good partner in doing business?
Average: 8.7
8.2
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
7.3
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,908 Twitter followers
LinkedIn® Page
www.linkedin.com
17,842 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic R

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 59% Small-Business
    • 27% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AIToolbox 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
    8
    AI Technology
    4
    Features
    3
    Intuitive
    3
    Machine Learning
    3
    Cons
    AI Limitations
    2
    Lagging Issues
    2
    Compatibility Issues
    1
    Complexity
    1
    Dependency Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AIToolbox features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.7
    Ease of Use
    Average: 8.4
    8.9
    Quality of Support
    Average: 8.4
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AIToolbox
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic R

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 59% Small-Business
  • 27% Enterprise
AIToolbox 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
8
AI Technology
4
Features
3
Intuitive
3
Machine Learning
3
Cons
AI Limitations
2
Lagging Issues
2
Compatibility Issues
1
Complexity
1
Dependency Issues
1
AIToolbox features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
8.7
Ease of Use
Average: 8.4
8.9
Quality of Support
Average: 8.4
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
AIToolbox
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(175)4.4 out of 5
8th Easiest To Use in Machine Learning 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, offering features such as visual workflows, AutoML, and support for Python, R, and SQL.
    • Reviewers appreciate Dataiku's user-friendly interface, its ability to foster collaboration, its seamless integration with various data sources, and its scalability for handling large datasets and complex workflows.
    • Reviewers mentioned that Dataiku can have a steep learning curve for non-technical users, it can sometimes be slow when handling large datasets, and its frequent updates can sometimes cause issues to existing workflows.
  • 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
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Ease of Use
    Average: 8.4
    8.6
    Quality of Support
    Average: 8.4
    8.0
    Ease of Admin
    Average: 8.5
  • 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, offering features such as visual workflows, AutoML, and support for Python, R, and SQL.
  • Reviewers appreciate Dataiku's user-friendly interface, its ability to foster collaboration, its seamless integration with various data sources, and its scalability for handling large datasets and complex workflows.
  • Reviewers mentioned that Dataiku can have a steep learning curve for non-technical users, it can sometimes be slow when handling large datasets, and its frequent updates can sometimes cause issues to existing workflows.
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
8.6
Has the product been a good partner in doing business?
Average: 8.7
8.8
Ease of Use
Average: 8.4
8.6
Quality of Support
Average: 8.4
8.0
Ease of Admin
Average: 8.5
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®
(59)4.8 out of 5
2nd Easiest To Use in Machine Learning software
View top Consulting Services for scikit-learn
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, rando

    Users
    • Senior Software Engineer
    • Machine Learning Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 41% Enterprise
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • scikit-learn features and usability ratings that predict user satisfaction
    9.2
    Has the product been a good partner in doing business?
    Average: 8.7
    9.6
    Ease of Use
    Average: 8.4
    9.4
    Quality of Support
    Average: 8.4
    9.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @scikit_learn
    23,243 Twitter followers
    LinkedIn® Page
    www.linkedin.com
Product Description
How are these determined?Information
This description is provided by the seller.

Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, rando

Users
  • Senior Software Engineer
  • Machine Learning Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 41% Enterprise
  • 31% Mid-Market
scikit-learn features and usability ratings that predict user satisfaction
9.2
Has the product been a good partner in doing business?
Average: 8.7
9.6
Ease of Use
Average: 8.4
9.4
Quality of Support
Average: 8.4
9.4
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2018
HQ Location
N/A
Twitter
@scikit_learn
23,243 Twitter followers
LinkedIn® Page
www.linkedin.com
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai 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
    Model Variety
    25
    Features
    21
    Easy Integrations
    14
    AI Technology
    12
    Cons
    Expensive
    8
    Poor Documentation
    8
    Slow Performance
    7
    UX Improvement
    7
    Difficult Learning
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.4
    8.3
    Quality of Support
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Company Website
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,902 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    95 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Small-Business
  • 27% Mid-Market
Clarifai 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
Model Variety
25
Features
21
Easy Integrations
14
AI Technology
12
Cons
Expensive
8
Poor Documentation
8
Slow Performance
7
UX Improvement
7
Difficult Learning
6
Clarifai features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
8.3
Ease of Use
Average: 8.4
8.3
Quality of Support
Average: 8.4
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Clarifai
Company Website
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,902 Twitter followers
LinkedIn® Page
www.linkedin.com
95 employees on LinkedIn®
(35)4.7 out of 5
13th Easiest To Use in Machine Learning software
View top Consulting Services for machine-learning in Python
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used f

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • machine-learning in Python 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
    2
    Machine Learning
    2
    Customer Support
    1
    Data Visualization
    1
    Easy Setup
    1
    Cons
    Expensive
    1
    Limited Diversity
    1
    Slow Speed
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • machine-learning in Python features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    9.0
    Ease of Use
    Average: 8.4
    8.4
    Quality of Support
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used f

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Enterprise
  • 31% Small-Business
machine-learning in Python 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
2
Machine Learning
2
Customer Support
1
Data Visualization
1
Easy Setup
1
Cons
Expensive
1
Limited Diversity
1
Slow Speed
1
machine-learning in Python features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
9.0
Ease of Use
Average: 8.4
8.4
Quality of Support
Average: 8.4
9.0
Ease of Admin
Average: 8.5
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 53% Enterprise
    • 21% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Model Manager 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
    Model Management
    6
    Model Variety
    5
    Ease of Use
    3
    Analytics
    2
    Automation
    2
    Cons
    Integration Difficulty
    2
    Technical Expertise Required
    2
    Complexity
    1
    Difficult Learning
    1
    Difficult Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Model Manager features and usability ratings that predict user satisfaction
    7.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.4
    8.6
    Quality of Support
    Average: 8.4
    7.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,908 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® Model Manager is a web-based application that enables organizations to register, modify, track, score, publish, and report on analytical models. Organizations can store models within folders or p

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 53% Enterprise
  • 21% Small-Business
SAS Model Manager 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
Model Management
6
Model Variety
5
Ease of Use
3
Analytics
2
Automation
2
Cons
Integration Difficulty
2
Technical Expertise Required
2
Complexity
1
Difficult Learning
1
Difficult Navigation
1
SAS Model Manager features and usability ratings that predict user satisfaction
7.9
Has the product been a good partner in doing business?
Average: 8.7
8.3
Ease of Use
Average: 8.4
8.6
Quality of Support
Average: 8.4
7.2
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,908 Twitter followers
LinkedIn® Page
www.linkedin.com
17,842 employees on LinkedIn®
Phone
1-800-727-0025