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Best Data Science and Machine Learning Platforms for for Small Business

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Data Science and Machine Learning Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, 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.

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 Small Business Data Science and Machine Learning Platforms Available

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Vertex AI
By Google
(511)4.3 out of 5
7th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
Save to My Lists
Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 38% Small-Business
    • 35% 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
    211
    Model Variety
    123
    Features
    121
    Machine Learning
    110
    Integrations
    85
    Cons
    Expensive
    59
    Performance Issues
    53
    Learning Curve
    50
    Complexity
    46
    Complexity Issues
    43
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Vertex AI features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.6
    8.3
    Managed Service
    Average: 8.3
    8.6
    Natural Language Understanding
    Average: 8.4
    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
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 38% Small-Business
  • 35% 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
211
Model Variety
123
Features
121
Machine Learning
110
Integrations
85
Cons
Expensive
59
Performance Issues
53
Learning Curve
50
Complexity
46
Complexity Issues
43
Vertex AI features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.6
8.3
Managed Service
Average: 8.3
8.6
Natural Language Understanding
Average: 8.4
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Saturn Cloud
By Saturn Cloud
(295)4.8 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.

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

    Users
    • Data Scientist
    • Software Engineer
    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
    120
    Free Services
    42
    Setup Ease
    42
    GPU Performance
    38
    User Interface
    31
    Cons
    Limited Hours
    17
    Limited Free Access
    15
    Missing Features
    14
    Slow Startup
    13
    Expensive
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Saturn Cloud features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.6
    9.2
    Managed Service
    Average: 8.3
    9.1
    Natural Language Understanding
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Saturn Cloud
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,307 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Scientist
  • Software Engineer
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
120
Free Services
42
Setup Ease
42
GPU Performance
38
User Interface
31
Cons
Limited Hours
17
Limited Free Access
15
Missing Features
14
Slow Startup
13
Expensive
12
Saturn Cloud features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.6
9.2
Managed Service
Average: 8.3
9.1
Natural Language Understanding
Average: 8.4
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Saturn Cloud
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,307 Twitter followers
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®

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Deepnote
By Deepnote
(244)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Student
    • Data Scientist
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 71% Small-Business
    • 20% 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 platform that allows users to transform python notebooks into user-friendly apps and share them using a link, with features such as real-time collaboration, AI auto-complete, and integration with external data sources.
    • Users like the ease of usage, quick visualization capability, usefulness of the autocomplete, the simple and intuitive UI, the smooth integration of SQL and python code, and the ability for multiple people to edit the same Jupyter notebook.
    • Reviewers experienced minor difficulties with python, issues with the platform being slow for larger notebooks, challenges with onboarding as a non-admin user, and limitations with the CPU power provided with the free account.
  • 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
    116
    Collaboration
    75
    Team Collaboration
    55
    Easy Integrations
    46
    Useful
    46
    Cons
    Slow Performance
    36
    Bugs
    21
    Lagging Performance
    18
    Limited Features
    18
    Data Management Issues
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Deepnote features and usability ratings that predict user satisfaction
    8.1
    Application
    Average: 8.6
    8.0
    Managed Service
    Average: 8.3
    7.3
    Natural Language Understanding
    Average: 8.4
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Deepnote
    Year Founded
    2019
    HQ Location
    San Francisco , US
    Twitter
    @DeepnoteHQ
    5,147 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    38 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Student
  • Data Scientist
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 71% Small-Business
  • 20% 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 platform that allows users to transform python notebooks into user-friendly apps and share them using a link, with features such as real-time collaboration, AI auto-complete, and integration with external data sources.
  • Users like the ease of usage, quick visualization capability, usefulness of the autocomplete, the simple and intuitive UI, the smooth integration of SQL and python code, and the ability for multiple people to edit the same Jupyter notebook.
  • Reviewers experienced minor difficulties with python, issues with the platform being slow for larger notebooks, challenges with onboarding as a non-admin user, and limitations with the CPU power provided with the free account.
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
116
Collaboration
75
Team Collaboration
55
Easy Integrations
46
Useful
46
Cons
Slow Performance
36
Bugs
21
Lagging Performance
18
Limited Features
18
Data Management Issues
17
Deepnote features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.6
8.0
Managed Service
Average: 8.3
7.3
Natural Language Understanding
Average: 8.4
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Deepnote
Year Founded
2019
HQ Location
San Francisco , US
Twitter
@DeepnoteHQ
5,147 Twitter followers
LinkedIn® Page
www.linkedin.com
38 employees on LinkedIn®
Read Deepnote Reviews
Databricks Data Intelligence Platform
By Databricks Inc.
(403)4.6 out of 5
Optimized for quick response
4th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    182
    Features
    165
    Integrations
    104
    Data Management
    91
    Easy Integrations
    88
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    49
    Performance Issues
    36
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.6
    8.4
    Managed Service
    Average: 8.3
    8.3
    Natural Language Understanding
    Average: 8.4
    8.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    75,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,769 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 34% Mid-Market
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
182
Features
165
Integrations
104
Data Management
91
Easy Integrations
88
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
49
Performance Issues
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.6
8.4
Managed Service
Average: 8.3
8.3
Natural Language Understanding
Average: 8.4
8.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
75,952 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®
Amazon SageMaker
By Amazon Web Services (AWS)
(39)4.2 out of 5
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.

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Small-Business
    • 33% 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
    Ease of Use
    5
    Easy Integrations
    4
    Features
    4
    Machine Learning
    4
    AI Capabilities
    3
    Cons
    Complexity Issues
    3
    Difficult Setup
    2
    Expensive
    2
    Limited Features
    2
    Limited Storage
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Amazon SageMaker features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    9.5
    Managed Service
    Average: 8.3
    9.2
    Natural Language Understanding
    Average: 8.4
    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
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Small-Business
  • 33% 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
Ease of Use
5
Easy Integrations
4
Features
4
Machine Learning
4
AI Capabilities
3
Cons
Complexity Issues
3
Difficult Setup
2
Expensive
2
Limited Features
2
Limited Storage
2
Amazon SageMaker features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
9.5
Managed Service
Average: 8.3
9.2
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Read Amazon SageMaker Reviews
Deep Learning VM Image
By Google
(45)4.4 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 27% 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
    25
    Features
    15
    Setup Ease
    14
    Easy Setup
    11
    Cloud Computing
    10
    Cons
    Expensive
    14
    Learning Difficulty
    7
    Cost
    6
    Difficult Learning
    6
    Lagging Performance
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Deep Learning VM Image features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    8.5
    Managed Service
    Average: 8.3
    8.4
    Natural Language Understanding
    Average: 8.4
    8.8
    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
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 27% 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
25
Features
15
Setup Ease
14
Easy Setup
11
Cloud Computing
10
Cons
Expensive
14
Learning Difficulty
7
Cost
6
Difficult Learning
6
Lagging Performance
5
Deep Learning VM Image features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.5
Managed Service
Average: 8.3
8.4
Natural Language Understanding
Average: 8.4
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
Read Deep Learning VM Image Reviews
Azure Machine Learning
By Microsoft
(87)4.3 out of 5
9th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Azure Machine Learning
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 33% 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
    18
    Machine Learning
    10
    Training
    8
    Cloud Computing
    6
    Cloud Services
    6
    Cons
    Expensive
    8
    Learning Curve
    6
    Missing Features
    5
    Cost
    4
    Integration Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    8.8
    Managed Service
    Average: 8.3
    8.7
    Natural Language Understanding
    Average: 8.4
    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
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 33% 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
18
Machine Learning
10
Training
8
Cloud Computing
6
Cloud Services
6
Cons
Expensive
8
Learning Curve
6
Missing Features
5
Cost
4
Integration Issues
4
Azure Machine Learning features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.8
Managed Service
Average: 8.3
8.7
Natural Language Understanding
Average: 8.4
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
Read Azure Machine Learning Reviews
Alteryx
By Alteryx
(625)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 Alteryx
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 64% Enterprise
    • 22% Mid-Market
  • 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
    146
    Intuitive
    55
    Automation
    53
    Easy Learning
    46
    Ease of Learning
    43
    Cons
    Learning Curve
    40
    Expensive
    34
    Learning Difficulty
    25
    Complexity
    19
    Missing Features
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Alteryx features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    8.0
    Managed Service
    Average: 8.3
    7.9
    Natural Language Understanding
    Average: 8.4
    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
    26,732 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,287 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 64% Enterprise
  • 22% Mid-Market
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
146
Intuitive
55
Automation
53
Easy Learning
46
Ease of Learning
43
Cons
Learning Curve
40
Expensive
34
Learning Difficulty
25
Complexity
19
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.0
Managed Service
Average: 8.3
7.9
Natural Language Understanding
Average: 8.4
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,732 Twitter followers
LinkedIn® Page
www.linkedin.com
2,287 employees on LinkedIn®
MATLAB
By MathWorks
(729)4.5 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Graduate Research Assistant
    • Student
    Industries
    • Higher Education
    • Research
    Market Segment
    • 43% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Simulation
    6
    Features
    5
    Problem Solving
    5
    Insights
    4
    Cons
    Expensive
    3
    Cost
    2
    Difficult Learning
    2
    High System Requirements
    2
    Lack of Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • MATLAB features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.6
    8.3
    Managed Service
    Average: 8.3
    8.5
    Natural Language Understanding
    Average: 8.4
    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
    99,670 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,496 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Graduate Research Assistant
  • Student
Industries
  • Higher Education
  • Research
Market Segment
  • 43% Enterprise
  • 30% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Simulation
6
Features
5
Problem Solving
5
Insights
4
Cons
Expensive
3
Cost
2
Difficult Learning
2
High System Requirements
2
Lack of Features
2
MATLAB features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.6
8.3
Managed Service
Average: 8.3
8.5
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
99,670 Twitter followers
LinkedIn® Page
www.linkedin.com
7,496 employees on LinkedIn®
Read MATLAB Reviews
Dataiku
By Dataiku
(48)4.3 out of 5
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 platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they d

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 42% Enterprise
    • 27% Mid-Market
  • 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
    12
    Efficiency
    8
    Features
    8
    Data Analytics
    6
    Automation
    5
    Cons
    Learning Curve
    5
    Performance Issues
    4
    Complexity
    3
    Complexity Issues
    3
    Cost Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Dataiku features and usability ratings that predict user satisfaction
    8.5
    Application
    Average: 8.6
    8.6
    Managed Service
    Average: 8.3
    8.5
    Natural Language Understanding
    Average: 8.4
    7.5
    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
    23,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,415 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI. Together, they d

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 42% Enterprise
  • 27% Mid-Market
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
12
Efficiency
8
Features
8
Data Analytics
6
Automation
5
Cons
Learning Curve
5
Performance Issues
4
Complexity
3
Complexity Issues
3
Cost Issues
3
Dataiku features and usability ratings that predict user satisfaction
8.5
Application
Average: 8.6
8.6
Managed Service
Average: 8.3
8.5
Natural Language Understanding
Average: 8.4
7.5
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,087 Twitter followers
LinkedIn® Page
www.linkedin.com
1,415 employees on LinkedIn®
SAS Viya
By SAS Institute Inc.
(409)4.3 out of 5
15th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Statistical Programmer
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Enterprise
    • 33% 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 data analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
    • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
    • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
  • 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
    269
    Features
    167
    Analytics
    136
    Data Analysis
    112
    Performance Efficiency
    108
    Cons
    Learning Curve
    116
    Learning Difficulty
    106
    Complexity
    102
    Difficult Learning
    83
    Expensive
    82
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Viya features and usability ratings that predict user satisfaction
    7.5
    Application
    Average: 8.6
    7.7
    Managed Service
    Average: 8.3
    7.5
    Natural Language Understanding
    Average: 8.4
    7.3
    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
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Statistical Programmer
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Enterprise
  • 33% 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 data analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
  • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
  • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
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
269
Features
167
Analytics
136
Data Analysis
112
Performance Efficiency
108
Cons
Learning Curve
116
Learning Difficulty
106
Complexity
102
Difficult Learning
83
Expensive
82
SAS Viya features and usability ratings that predict user satisfaction
7.5
Application
Average: 8.6
7.7
Managed Service
Average: 8.3
7.5
Natural Language Understanding
Average: 8.4
7.3
Ease of Admin
Average: 8.5
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
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Qlik AutoML
By Qlik
(75)4.4 out of 5
10th 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.

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

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    Market Segment
    • 39% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Qlik AutoML Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    4
    Machine Learning
    4
    Easy Integrations
    2
    Implementation Ease
    2
    Speed
    2
    Cons
    Expensive
    1
    Expensive Licensing
    1
    Inadequate Tools
    1
    Learning Curve
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Qlik AutoML features and usability ratings that predict user satisfaction
    8.4
    Application
    Average: 8.6
    8.3
    Managed Service
    Average: 8.3
    7.8
    Natural Language Understanding
    Average: 8.4
    8.6
    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
    65,827 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,938 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Analyst
Industries
  • Information Technology and Services
Market Segment
  • 39% Enterprise
  • 31% Small-Business
Qlik AutoML Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
4
Machine Learning
4
Easy Integrations
2
Implementation Ease
2
Speed
2
Cons
Expensive
1
Expensive Licensing
1
Inadequate Tools
1
Learning Curve
1
Learning Difficulty
1
Qlik AutoML features and usability ratings that predict user satisfaction
8.4
Application
Average: 8.6
8.3
Managed Service
Average: 8.3
7.8
Natural Language Understanding
Average: 8.4
8.6
Ease of Admin
Average: 8.5
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
65,827 Twitter followers
LinkedIn® Page
www.linkedin.com
3,938 employees on LinkedIn®
Phone
1 (888) 994-9854
Read Qlik AutoML Reviews
Hex
By Hex Tech
(194)4.5 out of 5
5th 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.

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

    Users
    • Data Scientist
    • Senior Data Analyst
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 61% Mid-Market
    • 28% 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 write SQL queries, create dashboards, and collaborate on data analytics projects.
    • Users frequently mention the ease of sharing notebooks, the ability to switch between SQL and Python, and the convenience of generating dashboards for broader teams.
    • Users reported limitations in dynamic calculated fields, outdated Python kernel, lack of a plugin ecosystem, and difficulties in handling large datasets.
  • 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
    125
    SQL Queries
    74
    SQL Querying
    67
    Python Support
    59
    Data Analysis
    56
    Cons
    Missing Features
    40
    Lacking Features
    35
    Limited Visualization
    34
    Poor Visualization
    34
    Software Bugs
    33
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Hex features and usability ratings that predict user satisfaction
    7.4
    Application
    Average: 8.6
    6.9
    Managed Service
    Average: 8.3
    5.3
    Natural Language Understanding
    Average: 8.4
    8.9
    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
    5,723 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    158 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Scientist
  • Senior Data Analyst
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 61% Mid-Market
  • 28% 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 write SQL queries, create dashboards, and collaborate on data analytics projects.
  • Users frequently mention the ease of sharing notebooks, the ability to switch between SQL and Python, and the convenience of generating dashboards for broader teams.
  • Users reported limitations in dynamic calculated fields, outdated Python kernel, lack of a plugin ecosystem, and difficulties in handling large datasets.
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
125
SQL Queries
74
SQL Querying
67
Python Support
59
Data Analysis
56
Cons
Missing Features
40
Lacking Features
35
Limited Visualization
34
Poor Visualization
34
Software Bugs
33
Hex features and usability ratings that predict user satisfaction
7.4
Application
Average: 8.6
6.9
Managed Service
Average: 8.3
5.3
Natural Language Understanding
Average: 8.4
8.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Hex Tech
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@_hex_tech
5,723 Twitter followers
LinkedIn® Page
www.linkedin.com
158 employees on LinkedIn®
DataRobot
By DataRobot
(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
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • DataRobot 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
    1
    Data Cleaning
    1
    Ease of Use
    1
    Efficiency
    1
    Machine Learning
    1
    Cons
    Expensive
    1
    Limited Customization
    1
    Limited Features
    1
    Limited Model Options
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • DataRobot features and usability ratings that predict user satisfaction
    5.0
    Application
    Average: 8.6
    1.7
    Managed Service
    Average: 8.3
    0.0
    Natural Language Understanding
    Average: 8.4
    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
    19,563 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    956 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 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
1
Data Cleaning
1
Ease of Use
1
Efficiency
1
Machine Learning
1
Cons
Expensive
1
Limited Customization
1
Limited Features
1
Limited Model Options
1
DataRobot features and usability ratings that predict user satisfaction
5.0
Application
Average: 8.6
1.7
Managed Service
Average: 8.3
0.0
Natural Language Understanding
Average: 8.4
7.4
Ease of Admin
Average: 8.5
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,563 Twitter followers
LinkedIn® Page
www.linkedin.com
956 employees on LinkedIn®
Read DataRobot Reviews
IBM Watson Studio
By IBM
(163)4.2 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.

    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
    • 29% 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
    Ease of Use
    7
    AI Capabilities
    4
    AI Integration
    4
    AI Technology
    4
    Features
    4
    Cons
    Expensive
    2
    Learning Curve
    2
    Limited Language Support
    2
    Limited Userbase
    2
    Poor Customer Support
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM Watson Studio features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.6
    9.4
    Managed Service
    Average: 8.3
    8.9
    Natural Language Understanding
    Average: 8.4
    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
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 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
  • 29% 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
Ease of Use
7
AI Capabilities
4
AI Integration
4
AI Technology
4
Features
4
Cons
Expensive
2
Learning Curve
2
Limited Language Support
2
Limited Userbase
2
Poor Customer Support
2
IBM Watson Studio features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.6
9.4
Managed Service
Average: 8.3
8.9
Natural Language Understanding
Average: 8.4
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
Read IBM Watson Studio Reviews
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