Best Data Science and Machine Learning Platforms

MM
Researched and written by Matthew Miller

Data science and machine learning (DSML) platforms provide users with tools to build, deploy, and monitor machine learning algorithms. These software platforms combine intelligent, decision-making algorithms with data, thereby enabling developers to create a business solution. Some data science and machine learning platforms offer prebuilt algorithms and simplistic workflows with features such as drag-and-drop modeling and visual interfaces that easily connect necessary data to the end solution, while others require a greater knowledge of development and coding. These algorithms can include functionality for image recognition, natural language processing, voice recognition, and recommendation systems, in addition to other machine learning capabilities.

The nature of some DSML engineering platforms enables users without intensive data science skills to benefit from the platforms’ features. AI platforms are very similar to platforms as a service (PaaS), which allow for basic application development, but these products differ by offering machine learning options.

To qualify for inclusion in the Data Science and Machine Learning (DSML) Platforms category, a product must:

Present a way for developers to connect data to the algorithms for them to learn and adapt
Allow users to create machine learning algorithms and/or offer prebuilt machine learning algorithms for more novice users
Provide a platform for deploying AI at scale

Best Data Science and Machine Learning Platforms At A Glance

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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249 Listings in Data Science and Machine Learning Platforms Available
(535)4.3 out of 5
8th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
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Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Small-Business
    • 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
    200
    Model Variety
    124
    Features
    123
    Machine Learning
    113
    Integrations
    90
    Cons
    Expensive
    65
    Learning Curve
    50
    Performance Issues
    49
    Complexity
    45
    Complexity Issues
    41
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vertex AI features and usability ratings that predict user satisfaction
    8.4
    Application
    Average: 8.6
    8.3
    Managed Service
    Average: 8.2
    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
    32,679,523 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
  • 37% 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
200
Model Variety
124
Features
123
Machine Learning
113
Integrations
90
Cons
Expensive
65
Learning Curve
50
Performance Issues
49
Complexity
45
Complexity Issues
41
Vertex AI features and usability ratings that predict user satisfaction
8.4
Application
Average: 8.6
8.3
Managed Service
Average: 8.2
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
32,679,523 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(424)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
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 36% 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
    183
    Features
    164
    Integrations
    103
    Data Management
    91
    Easy Integrations
    89
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    48
    Complexity
    36
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.6
    8.4
    Managed Service
    Average: 8.2
    8.4
    Natural Language Understanding
    Average: 8.4
    8.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    77,014 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
  • 46% Enterprise
  • 36% 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
183
Features
164
Integrations
103
Data Management
91
Easy Integrations
89
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
48
Complexity
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.6
8.4
Managed Service
Average: 8.2
8.4
Natural Language Understanding
Average: 8.4
8.1
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
77,014 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®

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(260)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
    • 70% Small-Business
    • 22% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Deepnote is a collaborative Jupyter notebook with enhanced features such as markdown, charts, SQL and AI integrations, designed to facilitate data analysis and visualization.
    • Users frequently mention the ease of use, seamless integration with databases and storage sources, the helpful AI features, and the ability to collaborate in real-time as key benefits of Deepnote.
    • Reviewers noted that the platform can be slow or unresponsive when dealing with large datasets, the user interface can be confusing for beginners, and the collaboration feature could be improved to allow multiple users to work on the same code block in real-time.
  • 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
    124
    Collaboration
    84
    Team Collaboration
    58
    Easy Integrations
    52
    Useful
    46
    Cons
    Slow Performance
    37
    Bugs
    21
    Data Management Issues
    19
    Limited Features
    19
    Lagging Performance
    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: 8.2
    7.4
    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
    5,145 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
  • 70% Small-Business
  • 22% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Deepnote is a collaborative Jupyter notebook with enhanced features such as markdown, charts, SQL and AI integrations, designed to facilitate data analysis and visualization.
  • Users frequently mention the ease of use, seamless integration with databases and storage sources, the helpful AI features, and the ability to collaborate in real-time as key benefits of Deepnote.
  • Reviewers noted that the platform can be slow or unresponsive when dealing with large datasets, the user interface can be confusing for beginners, and the collaboration feature could be improved to allow multiple users to work on the same code block in real-time.
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
124
Collaboration
84
Team Collaboration
58
Easy Integrations
52
Useful
46
Cons
Slow Performance
37
Bugs
21
Data Management Issues
19
Limited Features
19
Lagging Performance
17
Deepnote features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.6
8.0
Managed Service
Average: 8.2
7.4
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
5,145 Twitter followers
LinkedIn® Page
www.linkedin.com
38 employees on LinkedIn®
(296)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
    119
    Setup Ease
    45
    Free Services
    43
    GPU Performance
    40
    Cloud Computing
    30
    Cons
    Limited Hours
    18
    Limited Free Access
    15
    Missing Features
    14
    Slow Startup
    13
    Expensive
    11
  • 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: 8.2
    9.1
    Natural Language Understanding
    Average: 8.4
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,297 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
119
Setup Ease
45
Free Services
43
GPU Performance
40
Cloud Computing
30
Cons
Limited Hours
18
Limited Free Access
15
Missing Features
14
Slow Startup
13
Expensive
11
Saturn Cloud features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.6
9.2
Managed Service
Average: 8.2
9.1
Natural Language Understanding
Average: 8.4
9.2
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,297 Twitter followers
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Small-Business
    • 28% 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
    8.9
    Application
    Average: 8.6
    8.6
    Managed Service
    Average: 8.2
    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
    32,679,523 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
  • 52% Small-Business
  • 28% 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
8.9
Application
Average: 8.6
8.6
Managed Service
Average: 8.2
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
32,679,523 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(635)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
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  • 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
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Alteryx is a tool that allows users to explore and manipulate data through a drag and drop interface, and can connect to various databases, spreadsheets, and cloud systems.
    • Reviewers like Alteryx's user-friendly interface, its ability to perform complex data transformations without coding, and its integration with other platforms for enhanced productivity and scalability in data analytics and business processes.
    • Reviewers mentioned that Alteryx can be costly for small enterprises, has limited visualization features, and can sometimes experience slow performance when handling large datasets.
  • 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
    143
    Intuitive
    54
    Automation
    52
    Easy Learning
    46
    Problem Solving
    42
    Cons
    Learning Curve
    38
    Expensive
    32
    Learning Difficulty
    24
    Complexity
    18
    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: 8.2
    8.0
    Natural Language Understanding
    Average: 8.4
    8.4
    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
    26,630 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
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Alteryx is a tool that allows users to explore and manipulate data through a drag and drop interface, and can connect to various databases, spreadsheets, and cloud systems.
  • Reviewers like Alteryx's user-friendly interface, its ability to perform complex data transformations without coding, and its integration with other platforms for enhanced productivity and scalability in data analytics and business processes.
  • Reviewers mentioned that Alteryx can be costly for small enterprises, has limited visualization features, and can sometimes experience slow performance when handling large datasets.
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
143
Intuitive
54
Automation
52
Easy Learning
46
Problem Solving
42
Cons
Learning Curve
38
Expensive
32
Learning Difficulty
24
Complexity
18
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.0
Managed Service
Average: 8.2
8.0
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,630 Twitter followers
LinkedIn® Page
www.linkedin.com
2,287 employees on LinkedIn®
  • 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
    Features
    5
    Simulation
    5
    Problem Solving
    4
    Usability
    4
    Cons
    Difficult Learning
    2
    Expensive
    2
    Lack of Features
    2
    Missing Features
    2
    Slow Performance
    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: 8.2
    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
    99,818 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
Features
5
Simulation
5
Problem Solving
4
Usability
4
Cons
Difficult Learning
2
Expensive
2
Lack of Features
2
Missing Features
2
Slow Performance
2
MATLAB features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.6
8.3
Managed Service
Average: 8.2
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
99,818 Twitter followers
LinkedIn® Page
www.linkedin.com
7,496 employees on LinkedIn®
(118)4.5 out of 5
7th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TensorFlow is an open source software library for numerical computation using data flow graphs.

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 48% Small-Business
    • 27% 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
    Ease of Use
    3
    Flexibility
    2
    Machine Learning
    2
    Cloud Computing
    1
    Coding Ease
    1
    Cons
    Complexity
    1
    Data Management Issues
    1
    Difficult Learning
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TensorFlow features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    8.7
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.4
    7.8
    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
    382,830 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 software library for numerical computation using data flow graphs.

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 48% Small-Business
  • 27% 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
Ease of Use
3
Flexibility
2
Machine Learning
2
Cloud Computing
1
Coding Ease
1
Cons
Complexity
1
Data Management Issues
1
Difficult Learning
1
Slow Performance
1
TensorFlow features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.7
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.4
7.8
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
382,830 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(67)4.4 out of 5
10th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Dataiku
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

    Users
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 27% 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 designed for working with generative artificial intelligence, enabling users to perform data analysis, build AI projects, and integrate various data sources.
    • Users like the platform's user-friendly interface, its ability to cater to both coders and non-coders, and the diversity of training options it offers, including self-paced learning, demos, and articles.
    • Users reported challenges with the platform's onboarding process for code-based users, difficulty in managing large projects, and issues with the user documentation being scattered across multiple links.
  • 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
    8.4
    Application
    Average: 8.6
    8.5
    Managed Service
    Average: 8.2
    7.7
    Natural Language Understanding
    Average: 8.4
    7.9
    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
    23,051 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 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
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 27% 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 designed for working with generative artificial intelligence, enabling users to perform data analysis, build AI projects, and integrate various data sources.
  • Users like the platform's user-friendly interface, its ability to cater to both coders and non-coders, and the diversity of training options it offers, including self-paced learning, demos, and articles.
  • Users reported challenges with the platform's onboarding process for code-based users, difficulty in managing large projects, and issues with the user documentation being scattered across multiple links.
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
8.4
Application
Average: 8.6
8.5
Managed Service
Average: 8.2
7.7
Natural Language Understanding
Average: 8.4
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,051 Twitter followers
LinkedIn® Page
www.linkedin.com
1,415 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloudera Data Science provides better access to Apache Hadoop data with familiar and performant tools that address all aspects of modern predictive analytics.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cloudera Data Engineering 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
    Automation
    3
    Customer Support
    3
    Data Management
    2
    Cons
    Access Issues
    2
    Difficult Learning
    1
    Expensive
    1
    Inadequate Tools
    1
    Limited Resources
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera Data Engineering features and usability ratings that predict user satisfaction
    9.4
    Application
    Average: 8.6
    9.1
    Managed Service
    Average: 8.2
    9.5
    Natural Language Understanding
    Average: 8.4
    9.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cloudera
    Year Founded
    2008
    HQ Location
    Palo Alto, CA
    Twitter
    @cloudera
    108,861 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,226 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

Cloudera Data Science provides better access to Apache Hadoop data with familiar and performant tools that address all aspects of modern predictive analytics.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 36% Mid-Market
Cloudera Data Engineering 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
Automation
3
Customer Support
3
Data Management
2
Cons
Access Issues
2
Difficult Learning
1
Expensive
1
Inadequate Tools
1
Limited Resources
1
Cloudera Data Engineering features and usability ratings that predict user satisfaction
9.4
Application
Average: 8.6
9.1
Managed Service
Average: 8.2
9.5
Natural Language Understanding
Average: 8.4
9.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
108,861 Twitter followers
LinkedIn® Page
www.linkedin.com
3,226 employees on LinkedIn®
Phone
888-789-1488
(200)4.5 out of 5
5th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Hex
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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 togethe

    Users
    • Data Scientist
    • Senior Data Analyst
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 60% 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 create dashboards, visualize data, and perform operations using SQL and Python.
    • Reviewers frequently mention the ease of switching between SQL and Python, the ability to share notebooks, and the convenience of scheduling runs and integrating with data sources like Snowflake.
    • Reviewers noted limitations in visualization options, occasional performance issues with large datasets, and challenges with certain functionalities such as Magic and Hex's user interface.
  • 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
    126
    SQL Queries
    75
    SQL Querying
    68
    Python Support
    59
    Data Management
    58
    Cons
    Missing Features
    41
    Lacking Features
    37
    Limited Visualization
    35
    Poor Visualization
    35
    Software Bugs
    34
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hex features and usability ratings that predict user satisfaction
    7.3
    Application
    Average: 8.6
    6.7
    Managed Service
    Average: 8.2
    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
    5,782 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 togethe

Users
  • Data Scientist
  • Senior Data Analyst
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 60% 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 create dashboards, visualize data, and perform operations using SQL and Python.
  • Reviewers frequently mention the ease of switching between SQL and Python, the ability to share notebooks, and the convenience of scheduling runs and integrating with data sources like Snowflake.
  • Reviewers noted limitations in visualization options, occasional performance issues with large datasets, and challenges with certain functionalities such as Magic and Hex's user interface.
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
126
SQL Queries
75
SQL Querying
68
Python Support
59
Data Management
58
Cons
Missing Features
41
Lacking Features
37
Limited Visualization
35
Poor Visualization
35
Software Bugs
34
Hex features and usability ratings that predict user satisfaction
7.3
Application
Average: 8.6
6.7
Managed Service
Average: 8.2
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
5,782 Twitter followers
LinkedIn® Page
www.linkedin.com
158 employees on LinkedIn®
(88)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
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Machine Learning Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    10
    Efficiency
    6
    Machine Learning
    6
    Features
    5
    Cloud Computing
    4
    Cons
    Expensive
    5
    Cost
    3
    Integration Issues
    3
    Learning Curve
    3
    Integration Difficulty
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    8.9
    Managed Service
    Average: 8.2
    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
    14,059,857 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
  • 34% Small-Business
Azure Machine Learning Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
10
Efficiency
6
Machine Learning
6
Features
5
Cloud Computing
4
Cons
Expensive
5
Cost
3
Integration Issues
3
Learning Curve
3
Integration Difficulty
2
Azure Machine Learning features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.9
Managed Service
Average: 8.2
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
14,059,857 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
(39)4.2 out of 5
13th Easiest To Use in Data Science and Machine Learning Platforms software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully-managed service that enables 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: 8.2
    9.2
    Natural Language Understanding
    Average: 8.4
    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
    2,233,484 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: 8.2
9.2
Natural Language Understanding
Average: 8.4
8.4
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,233,484 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(134)4.6 out of 5
Optimized for quick response
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With 45 million users, Anaconda is the world’s most popular data science platform and the foundation of modern AI development. We pioneered the use of Python for data science, champion its vibrant com

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anaconda 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
    Tools Variety
    5
    Ease of Use
    4
    Cloud Computing
    2
    Coding Ease
    2
    Machine Learning
    2
    Cons
    Limited Features
    2
    Slow Performance
    2
    Slow Startup
    2
    Complex Interface
    1
    Data Management Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anaconda features and usability ratings that predict user satisfaction
    8.9
    Application
    Average: 8.6
    8.5
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.4
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,795 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    458 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With 45 million users, Anaconda is the world’s most popular data science platform and the foundation of modern AI development. We pioneered the use of Python for data science, champion its vibrant com

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 34% Small-Business
Anaconda 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
Tools Variety
5
Ease of Use
4
Cloud Computing
2
Coding Ease
2
Machine Learning
2
Cons
Limited Features
2
Slow Performance
2
Slow Startup
2
Complex Interface
1
Data Management Issues
1
Anaconda features and usability ratings that predict user satisfaction
8.9
Application
Average: 8.6
8.5
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.4
8.9
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,795 Twitter followers
LinkedIn® Page
www.linkedin.com
458 employees on LinkedIn®
(72)4.5 out of 5
Optimized for quick response
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.

    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
    • 36% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    44
    Intuitive
    15
    Model Variety
    13
    Efficiency
    12
    Features
    12
    Cons
    Improvement Needed
    16
    Performance Issues
    8
    Poor User Interface
    8
    Difficult Learning
    7
    Expensive
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.6
    8.4
    Managed Service
    Average: 8.2
    8.4
    Natural Language Understanding
    Average: 8.4
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    710,071 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 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
  • 36% Small-Business
  • 35% Mid-Market
IBM watsonx.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
44
Intuitive
15
Model Variety
13
Efficiency
12
Features
12
Cons
Improvement Needed
16
Performance Issues
8
Poor User Interface
8
Difficult Learning
7
Expensive
7
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.6
8.4
Managed Service
Average: 8.2
8.4
Natural Language Understanding
Average: 8.4
8.6
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
710,071 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®