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Best Data Science and Machine Learning Platforms for Small Business

Blue Bowen
BB
Researched and written by Blue Bowen

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.

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

(592)4.3 out of 5
9th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
Save to My Lists
Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 41% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Vertex AI Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    182
    Model Variety
    132
    Features
    127
    Machine Learning
    125
    Integrations
    100
    Cons
    Expensive
    81
    Learning Curve
    58
    Complexity
    56
    Complexity Issues
    52
    Steep Learning Curve
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vertex AI features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.2
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,057 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 41% Small-Business
  • 33% Enterprise
Vertex AI Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
182
Model Variety
132
Features
127
Machine Learning
125
Integrations
100
Cons
Expensive
81
Learning Curve
58
Complexity
56
Complexity Issues
52
Steep Learning Curve
39
Vertex AI features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.2
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,057 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(627)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    266
    Ease of Use
    256
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    101
    Steep Learning Curve
    88
    Expensive
    87
    Missing Features
    62
    UX Improvement
    58
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.4
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    84,124 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
266
Ease of Use
256
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
101
Steep Learning Curve
88
Expensive
87
Missing Features
62
UX Improvement
58
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.4
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
84,124 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

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(356)4.5 out of 5
1st 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 Analyst
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 68% Small-Business
    • 24% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Deepnote is a collaborative data science platform that allows users to write, run, and collaborate on Python and SQL code in real-time, with integrated AI features and the ability to connect to various data sources.
    • Reviewers frequently mention the ease of use, seamless integration of SQL and Python, real-time collaboration features, and the helpfulness of the AI assistant in debugging and data visualization.
    • Users experienced occasional slow performance with large datasets, limitations on offline access, difficulties with project management, and issues with certain integrations such as Google Drive.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Deepnote Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    156
    Collaboration
    115
    Team Collaboration
    72
    Easy Integrations
    68
    Data Management
    61
    Cons
    Slow Performance
    58
    Limited Features
    28
    Data Management Issues
    27
    Lagging Performance
    24
    Bugs
    23
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deepnote features and usability ratings that predict user satisfaction
    8.0
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.2
    Natural Language Understanding
    Average: 8.3
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Deepnote
    Year Founded
    2019
    HQ Location
    San Francisco , US
    Twitter
    @DeepnoteHQ
    5,278 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    29 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 Analyst
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 68% Small-Business
  • 24% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Deepnote is a collaborative data science platform that allows users to write, run, and collaborate on Python and SQL code in real-time, with integrated AI features and the ability to connect to various data sources.
  • Reviewers frequently mention the ease of use, seamless integration of SQL and Python, real-time collaboration features, and the helpfulness of the AI assistant in debugging and data visualization.
  • Users experienced occasional slow performance with large datasets, limitations on offline access, difficulties with project management, and issues with certain integrations such as Google Drive.
Deepnote Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
156
Collaboration
115
Team Collaboration
72
Easy Integrations
68
Data Management
61
Cons
Slow Performance
58
Limited Features
28
Data Management Issues
27
Lagging Performance
24
Bugs
23
Deepnote features and usability ratings that predict user satisfaction
8.0
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.2
Natural Language Understanding
Average: 8.3
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Deepnote
Year Founded
2019
HQ Location
San Francisco , US
Twitter
@DeepnoteHQ
5,278 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®
(319)4.8 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.

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

    Users
    • Data Scientist
    • Student
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 82% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Saturn Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    45
    Setup Ease
    26
    GPU Performance
    21
    Free Services
    16
    User Interface
    16
    Cons
    Expensive
    8
    Limited Hours
    8
    Missing Features
    8
    Limited Storage
    5
    Complexity Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Saturn Cloud features and usability ratings that predict user satisfaction
    9.1
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.1
    Natural Language Understanding
    Average: 8.3
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,261 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Scientist
  • Student
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 82% Small-Business
  • 12% Mid-Market
Saturn Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
45
Setup Ease
26
GPU Performance
21
Free Services
16
User Interface
16
Cons
Expensive
8
Limited Hours
8
Missing Features
8
Limited Storage
5
Complexity Issues
4
Saturn Cloud features and usability ratings that predict user satisfaction
9.1
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.1
Natural Language Understanding
Average: 8.3
9.2
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,261 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®
(233)4.5 out of 5
Optimized for quick response
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.

    Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of

    Users
    • Student
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Small-Business
    • 26% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anaconda AI 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
    55
    Setup Ease
    27
    Efficiency
    24
    Coding Ease
    20
    Intuitive
    19
    Cons
    Data Management Issues
    9
    Lacking Features
    9
    Slow Performance
    8
    Limited Features
    7
    Complexity
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anaconda AI Platform features and usability ratings that predict user satisfaction
    8.9
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,255 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    545 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of

Users
  • Student
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Small-Business
  • 26% Enterprise
Anaconda AI 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
55
Setup Ease
27
Efficiency
24
Coding Ease
20
Intuitive
19
Cons
Data Management Issues
9
Lacking Features
9
Slow Performance
8
Limited Features
7
Complexity
6
Anaconda AI Platform features and usability ratings that predict user satisfaction
8.9
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,255 Twitter followers
LinkedIn® Page
www.linkedin.com
545 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully-managed service that enables 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
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 33% Enterprise
    • 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
    Features
    4
    AI Integration
    3
    Easy Integrations
    3
    Integrations
    3
    AI Capabilities
    2
    Cons
    Expensive
    4
    Complexity
    2
    Complexity Issues
    2
    Complex Interface
    1
    Cost
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon SageMaker features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,439 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 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
  • Information Technology and Services
  • Computer Software
Market Segment
  • 33% Enterprise
  • 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
Features
4
AI Integration
3
Easy Integrations
3
Integrations
3
AI Capabilities
2
Cons
Expensive
4
Complexity
2
Complexity Issues
2
Complex Interface
1
Cost
1
Amazon SageMaker features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,439 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deep Learning VM Images are pre-configured virtual machine instances on Google Cloud, designed to streamline the development and deployment of machine learning models. These images come equipped with

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Deep Learning VM Image Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Setup Ease
    15
    Features
    14
    Easy Integrations
    11
    Easy Setup
    11
    Cons
    Expensive
    15
    Cost
    8
    Learning Difficulty
    7
    Difficult Learning
    6
    Dependency Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deep Learning VM Image features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.4
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.2
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,057 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Deep Learning VM Images are pre-configured virtual machine instances on Google Cloud, designed to streamline the development and deployment of machine learning models. These images come equipped with

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Small-Business
  • 30% Mid-Market
Deep Learning VM Image Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Setup Ease
15
Features
14
Easy Integrations
11
Easy Setup
11
Cons
Expensive
15
Cost
8
Learning Difficulty
7
Difficult Learning
6
Dependency Issues
5
Deep Learning VM Image features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.4
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.2
8.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,057 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(122)4.4 out of 5
Optimized for quick response
14th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    67
    Model Variety
    25
    Features
    20
    AI Integration
    19
    Easy Integrations
    19
    Cons
    Improvement Needed
    17
    Expensive
    15
    Complexity
    13
    Difficult Learning
    13
    UX Improvement
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,128 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Small-Business
  • 34% Enterprise
IBM watsonx.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
67
Model Variety
25
Features
20
AI Integration
19
Easy Integrations
19
Cons
Improvement Needed
17
Expensive
15
Complexity
13
Difficult Learning
13
UX Improvement
12
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,128 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(135)4.5 out of 5
4th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TensorFlow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Machine Learning
    22
    Ease of Use
    19
    Model Variety
    19
    AI Integration
    18
    Easy Integrations
    13
    Cons
    Steep Learning Curve
    25
    Complexity
    8
    Difficult Learning
    8
    Error Handling
    6
    Slow Performance
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TensorFlow features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.4
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.2
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Centre Urbain Nord, TN
    Twitter
    @TensorFlow
    380,976 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
  • 50% Small-Business
  • 26% Mid-Market
TensorFlow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Machine Learning
22
Ease of Use
19
Model Variety
19
AI Integration
18
Easy Integrations
13
Cons
Steep Learning Curve
25
Complexity
8
Difficult Learning
8
Error Handling
6
Slow Performance
6
TensorFlow features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.4
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.2
7.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
380,976 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(613)4.3 out of 5
11th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Student
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Small-Business
    • 32% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAS Viya is a cloud-based analytics platform that supports advanced analytics, machine learning, and data processing in one platform.
    • Reviewers frequently mention its strong performance, fast processing, easy integration with cloud platforms, and its ability to make teamwork easier by keeping everything in one place.
    • Reviewers mentioned that SAS Viya can be complex to configure, requires strong technical skills to manage in large environments, and its high cost can be a barrier for smaller organizations or teams with limited budgets.
  • 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
    279
    Features
    199
    Analytics
    172
    Data Analysis
    143
    User Interface
    133
    Cons
    Learning Difficulty
    132
    Learning Curve
    129
    Complexity
    125
    Difficult Learning
    102
    Not User-Friendly
    96
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    7.7
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.3
    7.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,226 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Student
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Small-Business
  • 32% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAS Viya is a cloud-based analytics platform that supports advanced analytics, machine learning, and data processing in one platform.
  • Reviewers frequently mention its strong performance, fast processing, easy integration with cloud platforms, and its ability to make teamwork easier by keeping everything in one place.
  • Reviewers mentioned that SAS Viya can be complex to configure, requires strong technical skills to manage in large environments, and its high cost can be a barrier for smaller organizations or teams with limited budgets.
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
279
Features
199
Analytics
172
Data Analysis
143
User Interface
133
Cons
Learning Difficulty
132
Learning Curve
129
Complexity
125
Difficult Learning
102
Not User-Friendly
96
SAS Viya features and usability ratings that predict user satisfaction
7.7
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.3
7.5
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,226 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
(81)4.4 out of 5
View top Consulting Services for Qlik Predict
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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.

    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
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Qlik Predict Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    5
    Ease of Use
    5
    AI Integration
    4
    Machine Learning
    4
    AI Capabilities
    3
    Cons
    Limited Customization
    4
    Deployment Issues
    2
    Lacking Features
    2
    Required Knowledge
    2
    Tool Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qlik Predict features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.8
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,578 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,564 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
  • Computer Software
Market Segment
  • 38% Enterprise
  • 31% Small-Business
Qlik Predict Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
5
Ease of Use
5
AI Integration
4
Machine Learning
4
AI Capabilities
3
Cons
Limited Customization
4
Deployment Issues
2
Lacking Features
2
Required Knowledge
2
Tool Limitations
2
Qlik Predict features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.8
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,578 Twitter followers
LinkedIn® Page
www.linkedin.com
4,564 employees on LinkedIn®
Phone
1 (888) 994-9854
(183)4.4 out of 5
6th 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
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 61% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
    • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
    • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
  • 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
    82
    Features
    80
    Usability
    43
    Easy Integrations
    41
    Productivity Improvement
    41
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataiku features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.7
    Natural Language Understanding
    Average: 8.3
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    23,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,411 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 61% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
  • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
  • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
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
82
Features
80
Usability
43
Easy Integrations
41
Productivity Improvement
41
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
20
Dataiku features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.7
Natural Language Understanding
Average: 8.3
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,026 Twitter followers
LinkedIn® Page
www.linkedin.com
1,411 employees on LinkedIn®
(26)4.4 out of 5
View top Consulting Services for DataRobot
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 58% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataRobot features and usability ratings that predict user satisfaction
    5.0
    Application
    Average: 8.5
    1.7
    Managed Service
    Average: 8.2
    0.0
    Natural Language Understanding
    Average: 8.3
    7.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataRobot
    Year Founded
    2012
    HQ Location
    Boston, Massachusetts
    Twitter
    @DataRobot
    19,370 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    836 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
Market Segment
  • 58% Small-Business
  • 31% Enterprise
DataRobot features and usability ratings that predict user satisfaction
5.0
Application
Average: 8.5
1.7
Managed Service
Average: 8.2
0.0
Natural Language Understanding
Average: 8.3
7.4
Ease of Admin
Average: 8.5
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,370 Twitter followers
LinkedIn® Page
www.linkedin.com
836 employees on LinkedIn®
(296)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.

    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
    • Data Analyst
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 56% Mid-Market
    • 23% 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 an analytical environment that connects SQL and Python dataframes, provides visualization tools, and allows for the management of multiple databases.
    • Reviewers like the intuitive visualization tools, the ability to transition smoothly between SQL and Python, and the ease of transforming notebooks into published apps.
    • Users mentioned issues with the execution time when working in Notebook mode, difficulty in publishing data to the warehouse, and a desire for a more affordable pricing structure.
  • 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
    111
    Data Management
    72
    SQL Queries
    72
    SQL Querying
    64
    Data Analysis
    57
    Cons
    Limited Features
    31
    Limited Visualization
    27
    Lacking Features
    26
    Poor Visualization
    25
    Limited Customization
    24
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hex features and usability ratings that predict user satisfaction
    6.9
    Application
    Average: 8.5
    6.8
    Managed Service
    Average: 8.2
    5.1
    Natural Language Understanding
    Average: 8.3
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hex Tech
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @_hex_tech
    6,346 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    202 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
  • Data Analyst
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 56% Mid-Market
  • 23% 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 an analytical environment that connects SQL and Python dataframes, provides visualization tools, and allows for the management of multiple databases.
  • Reviewers like the intuitive visualization tools, the ability to transition smoothly between SQL and Python, and the ease of transforming notebooks into published apps.
  • Users mentioned issues with the execution time when working in Notebook mode, difficulty in publishing data to the warehouse, and a desire for a more affordable pricing structure.
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
111
Data Management
72
SQL Queries
72
SQL Querying
64
Data Analysis
57
Cons
Limited Features
31
Limited Visualization
27
Lacking Features
26
Poor Visualization
25
Limited Customization
24
Hex features and usability ratings that predict user satisfaction
6.9
Application
Average: 8.5
6.8
Managed Service
Average: 8.2
5.1
Natural Language Understanding
Average: 8.3
9.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Hex Tech
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@_hex_tech
6,346 Twitter followers
LinkedIn® Page
www.linkedin.com
202 employees on LinkedIn®
(760)4.5 out of 5
View top Consulting Services for MATLAB
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  • 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
    • Student
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Research
    Market Segment
    • 42% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    Features
    12
    Data Visualization
    9
    Simulation
    8
    Tools Variety
    7
    Cons
    Expensive
    7
    Slow Performance
    6
    High System Requirements
    5
    Lagging Performance
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MATLAB features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    100,702 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,768 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Student
  • Graduate Research Assistant
Industries
  • Higher Education
  • Research
Market Segment
  • 42% Enterprise
  • 31% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
Features
12
Data Visualization
9
Simulation
8
Tools Variety
7
Cons
Expensive
7
Slow Performance
6
High System Requirements
5
Lagging Performance
4
Learning Curve
4
MATLAB features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
100,702 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®