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Best Enterprise MLOps Platforms

Matthew Miller
MM
Researched and written by Matthew Miller

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

In addition to qualifying for inclusion in the MLOps Platforms category, to qualify for inclusion in the Enterprise Business MLOps Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise 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 Enterprise MLOps Platforms Available

(571)4.3 out of 5
8th Easiest To Use in MLOps Platforms software
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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
    8.3
    Ease of Use
    Average: 8.8
    8.8
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.6
    8.3
    Framework Flexibility
    Average: 8.6
  • 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
    310,061 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
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
8.3
Metrics
Average: 8.6
8.3
Framework Flexibility
Average: 8.6
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
310,061 employees on LinkedIn®
(608)4.6 out of 5
Optimized for quick response
1st Easiest To Use in MLOps Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
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  • 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
    8.8
    Ease of Use
    Average: 8.8
    8.9
    Scalability
    Average: 8.9
    8.7
    Metrics
    Average: 8.6
    8.8
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    79,305 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,647 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
8.8
Ease of Use
Average: 8.8
8.9
Scalability
Average: 8.9
8.7
Metrics
Average: 8.6
8.8
Framework Flexibility
Average: 8.6
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
79,305 Twitter followers
LinkedIn® Page
www.linkedin.com
10,647 employees on LinkedIn®

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(88)4.3 out of 5
9th Easiest To Use in MLOps 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
    8.5
    Ease of Use
    Average: 8.8
    9.2
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.6
    9.2
    Framework Flexibility
    Average: 8.6
  • 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
    237,523 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
8.5
Ease of Use
Average: 8.8
9.2
Scalability
Average: 8.9
8.3
Metrics
Average: 8.6
9.2
Framework Flexibility
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
237,523 employees on LinkedIn®
Ownership
MSFT
(481)4.3 out of 5
14th Easiest To Use in MLOps 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
    8.2
    Ease of Use
    Average: 8.8
    8.1
    Scalability
    Average: 8.9
    8.3
    Metrics
    Average: 8.6
    7.9
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,528 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
8.2
Ease of Use
Average: 8.8
8.1
Scalability
Average: 8.9
8.3
Metrics
Average: 8.6
7.9
Framework Flexibility
Average: 8.6
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,528 employees on LinkedIn®
(624)4.6 out of 5
Optimized for quick response
6th Easiest To Use in MLOps Platforms software
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake 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
    85
    Features
    53
    Scalability
    46
    Data Management
    42
    Integrations
    41
    Cons
    Expensive
    42
    Feature Limitations
    21
    Cost Management
    20
    Cost
    19
    Poor UI Design
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.8
    8.8
    Scalability
    Average: 8.9
    9.2
    Metrics
    Average: 8.6
    9.2
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    65 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,352 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 42% Mid-Market
Snowflake 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
85
Features
53
Scalability
46
Data Management
42
Integrations
41
Cons
Expensive
42
Feature Limitations
21
Cost Management
20
Cost
19
Poor UI Design
18
Snowflake features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
9.2
Metrics
Average: 8.6
9.2
Framework Flexibility
Average: 8.6
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
65 Twitter followers
LinkedIn® Page
www.linkedin.com
9,352 employees on LinkedIn®
(175)4.4 out of 5
10th Easiest To Use in MLOps 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.

    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
    8.8
    Ease of Use
    Average: 8.8
    9.0
    Scalability
    Average: 8.9
    8.5
    Metrics
    Average: 8.6
    8.5
    Framework Flexibility
    Average: 8.6
  • 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
    1,438 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
8.8
Ease of Use
Average: 8.8
9.0
Scalability
Average: 8.9
8.5
Metrics
Average: 8.6
8.5
Framework Flexibility
Average: 8.6
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
1,438 employees on LinkedIn®
(165)4.2 out of 5
15th Easiest To Use in MLOps Platforms software
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  • 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
    8.0
    Ease of Use
    Average: 8.8
    8.8
    Scalability
    Average: 8.9
    9.0
    Metrics
    Average: 8.6
    8.8
    Framework Flexibility
    Average: 8.6
  • 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
    331,391 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
8.0
Ease of Use
Average: 8.8
8.8
Scalability
Average: 8.9
9.0
Metrics
Average: 8.6
8.8
Framework Flexibility
Average: 8.6
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
331,391 employees on LinkedIn®
Ownership
SWX:IBM
(517)4.3 out of 5
12th Easiest To Use in MLOps Platforms software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

    Users
    • Consultant
    • SAP Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 64% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP HANA 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
    13
    Cloud Computing
    10
    Easy Integrations
    10
    Features
    9
    Integrations
    9
    Cons
    Expensive
    9
    Complexity
    8
    Learning Curve
    8
    Complex Implementation
    6
    Learning Difficulty
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP HANA Cloud features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    299,880 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    129,051 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

Users
  • Consultant
  • SAP Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 64% Enterprise
  • 23% Mid-Market
SAP HANA 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
13
Cloud Computing
10
Easy Integrations
10
Features
9
Integrations
9
Cons
Expensive
9
Complexity
8
Learning Curve
8
Complex Implementation
6
Learning Difficulty
6
SAP HANA Cloud features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
299,880 Twitter followers
LinkedIn® Page
www.linkedin.com
129,051 employees on LinkedIn®
Ownership
NYSE:SAP
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With the Gurobi Optimizer, you can identify provably optimal solutions to the world’s most complex problems—including linear, nonlinear, and quadratic problems—using any combination of continuous and

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Enterprise
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gurobi Optimizer features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Beaverton, OR
    Twitter
    @gurobi
    4,994 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    170 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With the Gurobi Optimizer, you can identify provably optimal solutions to the world’s most complex problems—including linear, nonlinear, and quadratic problems—using any combination of continuous and

Users
No information available
Industries
No information available
Market Segment
  • 55% Enterprise
  • 25% Small-Business
Gurobi Optimizer features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2008
HQ Location
Beaverton, OR
Twitter
@gurobi
4,994 Twitter followers
LinkedIn® Page
www.linkedin.com
170 employees on LinkedIn®
(99)4.3 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Starting at $150.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of software delivered without friction from developer to device. Driven by a “Liquid Software” vision, the JFrog Software Supply Chain P

    Users
    • DevOps Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 58% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • JFrog 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
    10
    Deployment
    9
    Security
    9
    Easy Integrations
    8
    Cons
    Expensive
    7
    Complexity
    6
    Pricing Issues
    5
    Complex Setup
    4
    Not User-Friendly
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • JFrog features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    JFrog Ltd
    Company Website
    Year Founded
    2008
    HQ Location
    Sunnyvale, CA
    Twitter
    @jfrog
    23,148 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,999 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of software delivered without friction from developer to device. Driven by a “Liquid Software” vision, the JFrog Software Supply Chain P

Users
  • DevOps Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 58% Enterprise
  • 32% Mid-Market
JFrog 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
10
Deployment
9
Security
9
Easy Integrations
8
Cons
Expensive
7
Complexity
6
Pricing Issues
5
Complex Setup
4
Not User-Friendly
4
JFrog features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
JFrog Ltd
Company Website
Year Founded
2008
HQ Location
Sunnyvale, CA
Twitter
@jfrog
23,148 Twitter followers
LinkedIn® Page
www.linkedin.com
1,999 employees on LinkedIn®
  • Overview
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  • 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
    8.3
    Ease of Use
    Average: 8.8
    8.3
    Scalability
    Average: 8.9
    7.5
    Metrics
    Average: 8.6
    7.5
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,528 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
8.3
Ease of Use
Average: 8.8
8.3
Scalability
Average: 8.9
7.5
Metrics
Average: 8.6
7.5
Framework Flexibility
Average: 8.6
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,528 employees on LinkedIn®
Phone
1-800-727-0025
(69)4.4 out of 5
Optimized for quick response
13th Easiest To Use in MLOps Platforms software
Save to My Lists
Entry Level Price:$9,500.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InRule Technology® provides explainable AI Decisioning. InRule empowers its users to delight customers and improve business outcomes​ by combining automated decisioning, explainable machine learning a

    Users
    No information available
    Industries
    • Financial Services
    • Insurance
    Market Segment
    • 46% Mid-Market
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • InRule 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
    17
    Rule Management
    8
    Low Coding
    7
    No Coding
    6
    Learning
    5
    Cons
    Learning Curve
    6
    Limited Features
    5
    Missing Features
    5
    Performance Issues
    5
    Support Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InRule features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.8
    5.8
    Scalability
    Average: 8.9
    6.7
    Metrics
    Average: 8.6
    6.7
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2002
    HQ Location
    Chicago, IL
    Twitter
    @inrule
    790 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    85 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

InRule Technology® provides explainable AI Decisioning. InRule empowers its users to delight customers and improve business outcomes​ by combining automated decisioning, explainable machine learning a

Users
No information available
Industries
  • Financial Services
  • Insurance
Market Segment
  • 46% Mid-Market
  • 32% Enterprise
InRule 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
17
Rule Management
8
Low Coding
7
No Coding
6
Learning
5
Cons
Learning Curve
6
Limited Features
5
Missing Features
5
Performance Issues
5
Support Issues
4
InRule features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.8
5.8
Scalability
Average: 8.9
6.7
Metrics
Average: 8.6
6.7
Framework Flexibility
Average: 8.6
Seller Details
Company Website
Year Founded
2002
HQ Location
Chicago, IL
Twitter
@inrule
790 Twitter followers
LinkedIn® Page
www.linkedin.com
85 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Leader in creating Data Science Tools. MLJAR is an automated machine learning (AutoML) framework designed to make building and deploying machine learning models easier and more accessible. It offers t

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 63% Enterprise
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MLJAR features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.8
    8.9
    Scalability
    Average: 8.9
    9.0
    Metrics
    Average: 8.6
    9.1
    Framework Flexibility
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MLJAR
    Year Founded
    2016
    HQ Location
    Łapy, PL
    Twitter
    @MLJARofficial
    1,481 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Leader in creating Data Science Tools. MLJAR is an automated machine learning (AutoML) framework designed to make building and deploying machine learning models easier and more accessible. It offers t

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 63% Enterprise
  • 25% Small-Business
MLJAR features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.9
Scalability
Average: 8.9
9.0
Metrics
Average: 8.6
9.1
Framework Flexibility
Average: 8.6
Seller Details
Seller
MLJAR
Year Founded
2016
HQ Location
Łapy, PL
Twitter
@MLJARofficial
1,481 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®