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Best Enterprise Data Science and Machine Learning Platforms

Bijou Barry
BB
Researched and written by Bijou Barry

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, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise 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 Enterprise 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 Enterprise Business Data Science and Machine Learning Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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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27 Listings in Enterprise Data Science and Machine Learning Platforms Available

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    G2 Score
Databricks Data Intelligence Platform
(658)4.6 out of 5
Optimized for quick response
1st 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% 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.
    • Databricks Data Intelligence Platform is a unified data engineering platform that integrates AI and machine learning applications for data analysis and management.
    • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
    • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with continuous workloads.
  • 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
    Features
    277
    Ease of Use
    267
    Integrations
    184
    Collaboration
    148
    Easy Integrations
    144
    Cons
    Learning Curve
    106
    Expensive
    94
    Steep Learning Curve
    91
    Missing Features
    63
    Complexity
    61
    View All Pros and Cons
  • 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: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    86,274 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% 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.
  • Databricks Data Intelligence Platform is a unified data engineering platform that integrates AI and machine learning applications for data analysis and management.
  • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
  • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with continuous workloads.
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
Features
277
Ease of Use
267
Integrations
184
Collaboration
148
Easy Integrations
144
Cons
Learning Curve
106
Expensive
94
Steep Learning Curve
91
Missing Features
63
Complexity
61
View All Pros and Cons
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: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
86,274 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
Vertex AI
(638)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, a

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Small-Business
    • 31% 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
    180
    Model Variety
    133
    Machine Learning
    126
    Features
    125
    Integrations
    100
    Cons
    Expensive
    80
    Learning Curve
    56
    Complexity
    54
    Complexity Issues
    50
    Performance Issues
    39
    View All Pros and Cons
  • 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: 8.3
    7.9
    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
    31,652,748 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 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, a

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Small-Business
  • 31% 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
180
Model Variety
133
Machine Learning
126
Features
125
Integrations
100
Cons
Expensive
80
Learning Curve
56
Complexity
54
Complexity Issues
50
Performance Issues
39
View All Pros and Cons
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: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,652,748 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
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Dataiku
(188)4.4 out of 5
5th 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
    • 59% 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.
    • Dataiku is a platform for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
    • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
    • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
  • 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
    Ease of Use
    81
    Features
    79
    Usability
    43
    Easy Integrations
    41
    Integrations
    40
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    19
    View All Pros and Cons
  • 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
    7.7
    Natural Language Understanding
    Average: 8.3
    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
    22,953 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,609 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
  • 59% 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.
  • Dataiku is a platform for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
  • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
  • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
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
Ease of Use
81
Features
79
Usability
43
Easy Integrations
41
Integrations
40
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
19
View All Pros and Cons
Dataiku features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.7
Natural Language Understanding
Average: 8.3
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,953 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
SAS Viya
(648)4.3 out of 5
9th 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
    • Student
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Small-Business
    • 31% 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.
    • SAS Viya is a cloud-based analytics platform that integrates data preparation, analytics, and AI capabilities into a single environment.
    • Reviewers appreciate SAS Viya's high performance, powerful analytics tools, seamless cloud integration, and its ability to handle large datasets efficiently.
    • Users experienced challenges with the complexity of SAS Viya's setup process, its high licensing costs, and the need for advanced technical skills for proper management.
  • 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
    286
    Features
    205
    Analytics
    179
    Data Analysis
    150
    User Interface
    135
    Cons
    Learning Difficulty
    135
    Learning Curve
    132
    Complexity
    130
    Difficult Learning
    105
    Expensive
    97
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Viya features and usability ratings that predict user satisfaction
    7.7
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.3
    7.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,105 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,238 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
  • Student
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Small-Business
  • 31% 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.
  • SAS Viya is a cloud-based analytics platform that integrates data preparation, analytics, and AI capabilities into a single environment.
  • Reviewers appreciate SAS Viya's high performance, powerful analytics tools, seamless cloud integration, and its ability to handle large datasets efficiently.
  • Users experienced challenges with the complexity of SAS Viya's setup process, its high licensing costs, and the need for advanced technical skills for proper management.
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
286
Features
205
Analytics
179
Data Analysis
150
User Interface
135
Cons
Learning Difficulty
135
Learning Curve
132
Complexity
130
Difficult Learning
105
Expensive
97
View All Pros and Cons
SAS Viya features and usability ratings that predict user satisfaction
7.7
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.3
7.5
Ease of Admin
Average: 8.5
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,105 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
IBM watsonx.ai
(134)4.4 out of 5
Optimized for quick response
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.

    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
    • 38% Small-Business
    • 32% Enterprise
  • 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
    68
    Model Variety
    25
    AI Integration
    20
    Features
    20
    Easy Integrations
    19
    Cons
    Improvement Needed
    17
    Expensive
    16
    Complexity
    13
    Difficult Learning
    13
    UX Improvement
    12
    View All Pros and Cons
  • 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
    8.5
    Natural Language Understanding
    Average: 8.3
    8.7
    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
    708,686 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 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
  • 38% Small-Business
  • 32% Enterprise
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
68
Model Variety
25
AI Integration
20
Features
20
Easy Integrations
19
Cons
Improvement Needed
17
Expensive
16
Complexity
13
Difficult Learning
13
UX Improvement
12
View All Pros and Cons
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,686 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
MATLAB
(766)4.5 out of 5
View top Consulting Services for MATLAB
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 high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop envi

    Users
    • Student
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Research
    Market Segment
    • 42% Enterprise
    • 31% 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
    16
    Features
    13
    Data Visualization
    10
    Simulation
    8
    Tools Variety
    8
    Cons
    Expensive
    8
    Slow Performance
    7
    High System Requirements
    6
    Lagging Performance
    4
    Learning Curve
    4
    View All Pros and Cons
  • 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: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    102,333 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,768 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop envi

Users
  • Student
  • Graduate Research Assistant
Industries
  • Higher Education
  • Research
Market Segment
  • 42% Enterprise
  • 31% 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
16
Features
13
Data Visualization
10
Simulation
8
Tools Variety
8
Cons
Expensive
8
Slow Performance
7
High System Requirements
6
Lagging Performance
4
Learning Curve
4
View All Pros and Cons
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: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
102,333 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
Alteryx
(671)4.6 out of 5
Optimized for quick response
8th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Alteryx
Save to My Lists
Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 62% 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 a data science and analytics platform that offers features such as ETL tool, drag and drop workflow automation, and the ability to automate repetitive tasks.
    • Reviewers like the platform's ease of use, its ability to handle large databases efficiently, and its drag-and-drop interface that transforms time-consuming manual data tasks into efficient automated ones.
    • Reviewers mentioned issues such as high licensing costs, limited data visualization capabilities, and occasional software crashes.
  • 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
    327
    Automation
    143
    Intuitive
    130
    Easy Learning
    102
    Problem Solving
    101
    Cons
    Expensive
    87
    Learning Curve
    79
    Missing Features
    62
    Learning Difficulty
    53
    Slow Performance
    40
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Alteryx features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.0
    Managed Service
    Average: 8.2
    7.9
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,288 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 62% 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 a data science and analytics platform that offers features such as ETL tool, drag and drop workflow automation, and the ability to automate repetitive tasks.
  • Reviewers like the platform's ease of use, its ability to handle large databases efficiently, and its drag-and-drop interface that transforms time-consuming manual data tasks into efficient automated ones.
  • Reviewers mentioned issues such as high licensing costs, limited data visualization capabilities, and occasional software crashes.
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
327
Automation
143
Intuitive
130
Easy Learning
102
Problem Solving
101
Cons
Expensive
87
Learning Curve
79
Missing Features
62
Learning Difficulty
53
Slow Performance
40
View All Pros and Cons
Alteryx features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.0
Managed Service
Average: 8.2
7.9
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,288 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
Amazon SageMaker
(48)4.2 out of 5
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 data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 33% Enterprise
    • 31% Mid-Market
  • 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
    Features
    4
    AI Integration
    3
    Easy Integrations
    3
    Integrations
    3
    Machine Learning
    3
    Cons
    Expensive
    5
    Complexity
    2
    Complexity Issues
    2
    Difficult Setup
    2
    Learning Curve
    2
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Amazon SageMaker features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,572 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 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 data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 33% Enterprise
  • 31% Mid-Market
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
Features
4
AI Integration
3
Easy Integrations
3
Integrations
3
Machine Learning
3
Cons
Expensive
5
Complexity
2
Complexity Issues
2
Difficult Setup
2
Learning Curve
2
View All Pros and Cons
Amazon SageMaker features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,572 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
TensorFlow
(136)4.5 out of 5
4th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platfo

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 26% 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
    23
    AI Integration
    19
    Ease of Use
    19
    Model Variety
    19
    Scalability
    14
    Cons
    Steep Learning Curve
    25
    Complexity
    8
    Difficult Learning
    8
    Error Handling
    6
    Slow Performance
    6
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • TensorFlow features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.4
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.3
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    TensorFlow
    Year Founded
    2016
    HQ Location
    Centre Urbain Nord, TN
    Twitter
    @TensorFlow
    379,878 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 machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platfo

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 26% 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
23
AI Integration
19
Ease of Use
19
Model Variety
19
Scalability
14
Cons
Steep Learning Curve
25
Complexity
8
Difficult Learning
8
Error Handling
6
Slow Performance
6
View All Pros and Cons
TensorFlow features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.4
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
TensorFlow
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
379,878 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
Azure Machine Learning
(88)4.3 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.

    Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently

    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
    6
    Efficiency
    5
    Features
    5
    Easy Integrations
    3
    Implementation Ease
    3
    Cons
    Learning Curve
    4
    UX Improvement
    3
    Difficult Navigation
    2
    Expensive
    2
    Integration Difficulty
    2
    View All Pros and Cons
  • 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: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,085,372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently

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
6
Efficiency
5
Features
5
Easy Integrations
3
Implementation Ease
3
Cons
Learning Curve
4
UX Improvement
3
Difficult Navigation
2
Expensive
2
Integration Difficulty
2
View All Pros and Cons
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: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,085,372 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
Anaconda Platform
(243)4.5 out of 5
11th 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.

    Anaconda Platform is a unified enterprise AI development platform that helps data scientists, AI developers, and platform engineers build, secure, deploy, and observe AI workloads from development to

    Users
    • Software Engineer
    • Student
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Small-Business
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Anaconda 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
    69
    Setup Ease
    36
    Efficiency
    26
    Intuitive
    24
    Coding Ease
    23
    Cons
    Data Management Issues
    11
    Slow Performance
    11
    Lacking Features
    10
    Limited Storage
    9
    Slow Loading
    9
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Anaconda Platform 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: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Anaconda, Inc.
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,077 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    575 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anaconda Platform is a unified enterprise AI development platform that helps data scientists, AI developers, and platform engineers build, secure, deploy, and observe AI workloads from development to

Users
  • Software Engineer
  • Student
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Small-Business
  • 25% Enterprise
Anaconda 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
69
Setup Ease
36
Efficiency
26
Intuitive
24
Coding Ease
23
Cons
Data Management Issues
11
Slow Performance
11
Lacking Features
10
Limited Storage
9
Slow Loading
9
View All Pros and Cons
Anaconda Platform 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: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Anaconda, Inc.
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,077 Twitter followers
LinkedIn® Page
www.linkedin.com
575 employees on LinkedIn®
IBM Watson Studio
(166)4.2 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.

    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
    View All Pros and Cons
  • 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: 8.3
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,686 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 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
View All Pros and Cons
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: 8.3
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,686 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Domo
(986)4.3 out of 5
Optimized for quick response
15th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Domo
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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
    • 49% 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 an end-to-end data platform that enables users to connect, merge, and visualize data from various sources on a single cloud-based platform.
    • Reviewers like Domo's user-friendly interface, its powerful dataflow tools, and its ability to process large datasets without overwhelming local devices.
    • Users experienced issues with the manual process of turning data flows on and off, difficulty in keeping up with frequent updates, and significant delays in data updates.
  • 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
    209
    Data Visualization
    100
    Easy Integrations
    82
    Integrations
    79
    Intuitive
    79
    Cons
    Learning Curve
    60
    Missing Features
    48
    Data Management Issues
    43
    Expensive
    36
    Limited Customization
    34
    View All Pros and Cons
  • 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: 8.3
    8.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    63,879 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,325 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
  • 49% 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 an end-to-end data platform that enables users to connect, merge, and visualize data from various sources on a single cloud-based platform.
  • Reviewers like Domo's user-friendly interface, its powerful dataflow tools, and its ability to process large datasets without overwhelming local devices.
  • Users experienced issues with the manual process of turning data flows on and off, difficulty in keeping up with frequent updates, and significant delays in data updates.
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
209
Data Visualization
100
Easy Integrations
82
Integrations
79
Intuitive
79
Cons
Learning Curve
60
Missing Features
48
Data Management Issues
43
Expensive
36
Limited Customization
34
View All Pros and Cons
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: 8.3
8.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
63,879 Twitter followers
LinkedIn® Page
www.linkedin.com
1,325 employees on LinkedIn®
IBM Decision Optimization
(41)4.5 out of 5
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.

    IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategi

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 59% Enterprise
    • 22% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM Decision Optimization features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    7.3
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,686 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategi

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 59% Enterprise
  • 22% Small-Business
IBM Decision Optimization features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
7.3
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,686 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Posit
(566)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, formerly RStudio, is dedicated to advancing open-source software for data science, scientific research, and technical communication. Trusted by millions of users, including 25% of the Fortune G

    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
    8
    Open Source
    6
    Features
    4
    Easy Integrations
    3
    User Interface
    3
    Cons
    Slow Performance
    4
    Learning Curve
    2
    Performance Issues
    2
    Poor UI Design
    2
    Slow Loading
    2
    View All Pros and Cons
  • 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
    8.6
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Posit
    Year Founded
    2009
    HQ Location
    Boston, MA
    Twitter
    @posit_pbc
    121,841 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    457 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Posit, formerly RStudio, is dedicated to advancing open-source software for data science, scientific research, and technical communication. Trusted by millions of users, including 25% of the Fortune G

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
8
Open Source
6
Features
4
Easy Integrations
3
User Interface
3
Cons
Slow Performance
4
Learning Curve
2
Performance Issues
2
Poor UI Design
2
Slow Loading
2
View All Pros and Cons
Posit features and usability ratings that predict user satisfaction
8.4
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.6
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
121,841 Twitter followers
LinkedIn® Page
www.linkedin.com
457 employees on LinkedIn®
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