2026 Best Software Awards are here!See the list

Best Data Science and Machine Learning Platforms for Small Business

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

Show More
Show Less

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.

1 filter applied
Clear All

29 Listings in Small Business Data Science and Machine Learning Platforms Available

(641)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
  • 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
    31,701,494 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
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
31,701,494 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(378)4.5 out of 5
2nd Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unli

    Users
    • Student
    • Data Analyst
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 68% Small-Business
    • 24% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Deepnote is a collaborative platform for data science and analytics teams, offering features such as real-time editing, version control, and AI integration for automated syntax hygiene and documentation.
    • Users frequently mention the ease of collaboration, the seamless integration of SQL and Python, and the helpfulness of the AI assistant in generating scripts and visualizations.
    • Users mentioned issues with the AI assistant creating unnecessary cells, difficulty in implementing cross-language coding, and occasional slow performance with larger datasets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Deepnote Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    156
    Collaboration
    115
    Team Collaboration
    72
    Easy Integrations
    69
    Data Management
    61
    Cons
    Slow Performance
    58
    Limited Features
    28
    Data Management Issues
    27
    Lagging Performance
    24
    Bugs
    23
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deepnote features and usability ratings that predict user satisfaction
    8.0
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.2
    Natural Language Understanding
    Average: 8.3
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Deepnote
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco , US
    Twitter
    @DeepnoteHQ
    5,251 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unli

Users
  • Student
  • Data Analyst
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 68% Small-Business
  • 24% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Deepnote is a collaborative platform for data science and analytics teams, offering features such as real-time editing, version control, and AI integration for automated syntax hygiene and documentation.
  • Users frequently mention the ease of collaboration, the seamless integration of SQL and Python, and the helpfulness of the AI assistant in generating scripts and visualizations.
  • Users mentioned issues with the AI assistant creating unnecessary cells, difficulty in implementing cross-language coding, and occasional slow performance with larger datasets.
Deepnote Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
156
Collaboration
115
Team Collaboration
72
Easy Integrations
69
Data Management
61
Cons
Slow Performance
58
Limited Features
28
Data Management Issues
27
Lagging Performance
24
Bugs
23
Deepnote features and usability ratings that predict user satisfaction
8.0
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.2
Natural Language Understanding
Average: 8.3
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Deepnote
Company Website
Year Founded
2019
HQ Location
San Francisco , US
Twitter
@DeepnoteHQ
5,251 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
G2 Advertising
Sponsored
G2 Advertising
Get 2x conversion than Google Ads with G2 Advertising!
G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.
(657)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
  • 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
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    86,849 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
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
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
86,849 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
(243)4.5 out of 5
11th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
  • 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
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,021 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
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
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,021 Twitter followers
LinkedIn® Page
www.linkedin.com
575 employees on LinkedIn®
(320)4.8 out of 5
6th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage M

    Users
    • Data Scientist
    • Student
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 82% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Saturn Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    39
    Setup Ease
    25
    GPU Performance
    20
    Free Services
    15
    Computing Power
    13
    Cons
    Expensive
    8
    Missing Features
    8
    Limited Hours
    7
    Limited Storage
    5
    Complexity Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Saturn Cloud features and usability ratings that predict user satisfaction
    9.1
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.1
    Natural Language Understanding
    Average: 8.3
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,245 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage M

Users
  • Data Scientist
  • Student
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 82% Small-Business
  • 12% Mid-Market
Saturn Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
39
Setup Ease
25
GPU Performance
20
Free Services
15
Computing Power
13
Cons
Expensive
8
Missing Features
8
Limited Hours
7
Limited Storage
5
Complexity Issues
4
Saturn Cloud features and usability ratings that predict user satisfaction
9.1
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.1
Natural Language Understanding
Average: 8.3
9.2
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,245 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
(149)4.4 out of 5
Optimized for quick response
12th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM watsonx.data is a hybrid, open data lakehouse that helps organizations easily access, integrate, and analyze structured and unstructured data across hybrid cloud and on-premises environments. It c

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.data 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
    48
    Features
    31
    Data Management
    30
    Analytics
    25
    Flexibility
    23
    Cons
    Learning Curve
    29
    Complexity
    18
    Expensive
    18
    Difficulty
    14
    Integration Issues
    14
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data features and usability ratings that predict user satisfaction
    5.8
    Application
    Average: 8.5
    7.2
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.3
    7.8
    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
    708,873 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.

IBM watsonx.data is a hybrid, open data lakehouse that helps organizations easily access, integrate, and analyze structured and unstructured data across hybrid cloud and on-premises environments. It c

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 34% Small-Business
  • 34% Enterprise
IBM watsonx.data 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
48
Features
31
Data Management
30
Analytics
25
Flexibility
23
Cons
Learning Curve
29
Complexity
18
Expensive
18
Difficulty
14
Integration Issues
14
IBM watsonx.data features and usability ratings that predict user satisfaction
5.8
Application
Average: 8.5
7.2
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.3
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,873 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
  • 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
  • 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
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,994 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
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
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,994 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(730)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
    • Computer Software
    Market Segment
    • 33% 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 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
    136
    Cons
    Learning Difficulty
    136
    Learning Curve
    133
    Complexity
    131
    Difficult Learning
    106
    Not User-Friendly
    97
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    7.8
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.6
    Natural Language Understanding
    Average: 8.3
    7.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,099 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
  • Computer Software
Market Segment
  • 33% 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 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
136
Cons
Learning Difficulty
136
Learning Curve
133
Complexity
131
Difficult Learning
106
Not User-Friendly
97
SAS Viya features and usability ratings that predict user satisfaction
7.8
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.6
Natural Language Understanding
Average: 8.3
7.6
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,099 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
(136)4.5 out of 5
4th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TensorFlow is an open-source 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
  • 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
    Year Founded
    2016
    HQ Location
    Centre Urbain Nord, TN
    Twitter
    @TensorFlow
    379,609 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
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
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
379,609 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-inst

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Deep Learning VM Image Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Setup Ease
    15
    Features
    14
    Easy Integrations
    11
    Easy Setup
    11
    Cons
    Expensive
    15
    Cost
    8
    Learning Difficulty
    7
    Difficult Learning
    6
    Dependency Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deep Learning VM Image features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.4
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,701,494 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-inst

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Small-Business
  • 30% Mid-Market
Deep Learning VM Image Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Setup Ease
15
Features
14
Easy Integrations
11
Easy Setup
11
Cons
Expensive
15
Cost
8
Learning Difficulty
7
Difficult Learning
6
Dependency Issues
5
Deep Learning VM Image features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.4
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,701,494 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(135)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
  • 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
    708,873 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
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
708,873 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(345)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Hex
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hex is the world’s best AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now &g

    Users
    • Data Analyst
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Mid-Market
    • 22% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Hex is a data analysis tool that allows users to develop dashboards, schedule tasks, and access data from various hosting platforms.
    • Reviewers frequently mention the convenience of Hex's user experience, its quick dashboard development, and its ability to provide data access to many different hosting platforms.
    • Reviewers experienced slow data science development due to lag when pulling large amounts of data, and a lack of customizability on dashboard development.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hex Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    122
    Data Management
    76
    SQL Queries
    75
    SQL Querying
    68
    Data Analysis
    63
    Cons
    Limited Features
    40
    Missing Features
    34
    Lacking Features
    33
    Limited Visualization
    29
    Slow Performance
    26
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hex features and usability ratings that predict user satisfaction
    6.9
    Application
    Average: 8.5
    6.8
    Managed Service
    Average: 8.2
    5.1
    Natural Language Understanding
    Average: 8.3
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hex Tech
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @_hex_tech
    6,604 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    222 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hex is the world’s best AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now &g

Users
  • Data Analyst
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Mid-Market
  • 22% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Hex is a data analysis tool that allows users to develop dashboards, schedule tasks, and access data from various hosting platforms.
  • Reviewers frequently mention the convenience of Hex's user experience, its quick dashboard development, and its ability to provide data access to many different hosting platforms.
  • Reviewers experienced slow data science development due to lag when pulling large amounts of data, and a lack of customizability on dashboard development.
Hex Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
122
Data Management
76
SQL Queries
75
SQL Querying
68
Data Analysis
63
Cons
Limited Features
40
Missing Features
34
Lacking Features
33
Limited Visualization
29
Slow Performance
26
Hex features and usability ratings that predict user satisfaction
6.9
Application
Average: 8.5
6.8
Managed Service
Average: 8.2
5.1
Natural Language Understanding
Average: 8.3
9.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Hex Tech
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@_hex_tech
6,604 Twitter followers
LinkedIn® Page
www.linkedin.com
222 employees on LinkedIn®
(81)4.4 out of 5
View top Consulting Services for Qlik Predict
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.

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

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Qlik Predict 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
    Automation
    5
    Ease of Use
    5
    AI Integration
    4
    Machine Learning
    4
    AI Capabilities
    3
    Cons
    Limited Customization
    4
    Deployment Issues
    2
    Lacking Features
    2
    Required Knowledge
    2
    Tool Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qlik Predict features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.8
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,378 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,552 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Enterprise
  • 31% Small-Business
Qlik Predict 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
Automation
5
Ease of Use
5
AI Integration
4
Machine Learning
4
AI Capabilities
3
Cons
Limited Customization
4
Deployment Issues
2
Lacking Features
2
Required Knowledge
2
Tool Limitations
2
Qlik Predict features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.8
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,378 Twitter followers
LinkedIn® Page
www.linkedin.com
4,552 employees on LinkedIn®
Phone
1 (888) 994-9854
(189)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
    • 23% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • 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
  • 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
    22,952 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
  • 23% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • 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
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
22,952 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
(26)4.4 out of 5
View top Consulting Services for DataRobot
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by deliver

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 58% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataRobot features and usability ratings that predict user satisfaction
    5.0
    Application
    Average: 8.5
    1.7
    Managed Service
    Average: 8.2
    0.0
    Natural Language Understanding
    Average: 8.3
    7.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataRobot
    Year Founded
    2012
    HQ Location
    Boston, Massachusetts
    Twitter
    @DataRobot
    19,289 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    851 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by deliver

Users
No information available
Industries
  • Computer Software
Market Segment
  • 58% Small-Business
  • 31% Enterprise
DataRobot features and usability ratings that predict user satisfaction
5.0
Application
Average: 8.5
1.7
Managed Service
Average: 8.2
0.0
Natural Language Understanding
Average: 8.3
7.4
Ease of Admin
Average: 8.5
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,289 Twitter followers
LinkedIn® Page
www.linkedin.com
851 employees on LinkedIn®