Introducing G2.ai, the future of software buying.Try now

Best Data Science and Machine Learning Platforms - Page 2

Bijou Barry
BB
Researched and written by Bijou Barry

Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.

Core Capabilities of Data Science and Machine Learning (DSML) Software

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 algorithms so they can learn and adapt
  • Allow users to create machine learning algorithms and/or offer prebuilt algorithms for novice users
  • Provide a platform for deploying AI at scale

How DSML Software Differs from Other Tools

DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing machine learning–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.

Insights from G2 Reviews on DSML Software

According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.

Show More
Show Less

Featured Data Science and Machine Learning Platforms At A Glance

Free Plan Available:
Alteryx
Sponsored
Leader:
Highest Performer:
Top Trending:
Show LessShow More
Highest Performer:
Top Trending:

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.

No filters applied
639 Listings in Data Science and Machine Learning Platforms Available
(668)4.6 out of 5
Optimized for quick response
8th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Alteryx
Save to My Lists
Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 62% Enterprise
    • 22% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Alteryx is a data science and analytics platform that allows users to prepare, clean, manipulate, and analyze data with a low-code approach.
    • Users like the platform's ease of use, drag-and-drop interface, and ability to handle large files efficiently, as well as its automation capabilities and wide range of integrations.
    • Users mentioned high licensing costs, limited data visualization capabilities, and performance issues with large datasets as drawbacks, and some found the learning curve for advanced features steep.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    327
    Automation
    143
    Intuitive
    130
    Easy Learning
    102
    Problem Solving
    101
    Cons
    Expensive
    87
    Learning Curve
    79
    Missing Features
    62
    Learning Difficulty
    53
    Slow Performance
    40
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.0
    Managed Service
    Average: 8.2
    7.9
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,327 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 62% Enterprise
  • 22% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Alteryx is a data science and analytics platform that allows users to prepare, clean, manipulate, and analyze data with a low-code approach.
  • Users like the platform's ease of use, drag-and-drop interface, and ability to handle large files efficiently, as well as its automation capabilities and wide range of integrations.
  • Users mentioned high licensing costs, limited data visualization capabilities, and performance issues with large datasets as drawbacks, and some found the learning curve for advanced features steep.
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
327
Automation
143
Intuitive
130
Easy Learning
102
Problem Solving
101
Cons
Expensive
87
Learning Curve
79
Missing Features
62
Learning Difficulty
53
Slow Performance
40
Alteryx features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.0
Managed Service
Average: 8.2
7.9
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,327 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Machine Learning Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Efficiency
    5
    Features
    5
    Easy Integrations
    3
    Implementation Ease
    3
    Cons
    Learning Curve
    4
    UX Improvement
    3
    Difficult Navigation
    2
    Expensive
    2
    Integration Difficulty
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.9
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,084,352 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 34% Small-Business
Azure Machine Learning Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Efficiency
5
Features
5
Easy Integrations
3
Implementation Ease
3
Cons
Learning Curve
4
UX Improvement
3
Difficult Navigation
2
Expensive
2
Integration Difficulty
2
Azure Machine Learning features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.9
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,084,352 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Research Assistant
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Posit Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Open Source
    6
    Features
    4
    Easy Integrations
    3
    User Interface
    3
    Cons
    Slow Performance
    4
    Learning Curve
    2
    Performance Issues
    2
    Poor UI Design
    2
    Slow Loading
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Posit features and usability ratings that predict user satisfaction
    8.4
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.6
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Posit
    Year Founded
    2009
    HQ Location
    Boston, MA
    Twitter
    @posit_pbc
    121,972 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    459 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Research Assistant
  • Graduate Research Assistant
Industries
  • Higher Education
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 27% Mid-Market
Posit Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Open Source
6
Features
4
Easy Integrations
3
User Interface
3
Cons
Slow Performance
4
Learning Curve
2
Performance Issues
2
Poor UI Design
2
Slow Loading
2
Posit features and usability ratings that predict user satisfaction
8.4
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.6
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
121,972 Twitter followers
LinkedIn® Page
www.linkedin.com
459 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Watson Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Capabilities
    4
    AI Integration
    4
    AI Modeling
    4
    AI Technology
    4
    Ease of Use
    4
    Cons
    Learning Curve
    2
    Steep Learning Curve
    2
    Cost
    1
    Difficulty in Adjustments
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Watson Studio features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.5
    9.3
    Managed Service
    Average: 8.2
    8.9
    Natural Language Understanding
    Average: 8.3
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,824 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 30% Small-Business
IBM Watson Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Capabilities
4
AI Integration
4
AI Modeling
4
AI Technology
4
Ease of Use
4
Cons
Learning Curve
2
Steep Learning Curve
2
Cost
1
Difficulty in Adjustments
1
Expensive
1
IBM Watson Studio features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.5
9.3
Managed Service
Average: 8.2
8.9
Natural Language Understanding
Average: 8.3
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,824 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloudera Data Engineering is a comprehensive, cloud-native service designed to empower enterprise data teams to securely build, automate, and scale data pipelines across diverse environments, includin

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Mid-Market
    • 35% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera Data Engineering features and usability ratings that predict user satisfaction
    9.3
    Application
    Average: 8.5
    9.0
    Managed Service
    Average: 8.2
    9.6
    Natural Language Understanding
    Average: 8.3
    9.5
    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
    106,820 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,338 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

Cloudera Data Engineering is a comprehensive, cloud-native service designed to empower enterprise data teams to securely build, automate, and scale data pipelines across diverse environments, includin

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Mid-Market
  • 35% Enterprise
Cloudera Data Engineering features and usability ratings that predict user satisfaction
9.3
Application
Average: 8.5
9.0
Managed Service
Average: 8.2
9.6
Natural Language Understanding
Average: 8.3
9.5
Ease of Admin
Average: 8.5
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
106,820 Twitter followers
LinkedIn® Page
www.linkedin.com
3,338 employees on LinkedIn®
Phone
888-789-1488
(978)4.3 out of 5
Optimized for quick response
14th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Domo
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 49% Mid-Market
    • 29% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Domo is a business intelligence tool that centralizes data, provides real-time insights, and simplifies data transformations and visualizations.
    • Users frequently mention the ease of use, the ability to connect multiple data sources, the intuitive interface, and the automation of data transformations as key benefits.
    • Reviewers noted that the software has a steep learning curve, the Analyzer tool is limited, and the new consumption model is confusing.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Domo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    209
    Data Visualization
    100
    Easy Integrations
    82
    Integrations
    79
    Intuitive
    79
    Cons
    Learning Curve
    60
    Missing Features
    48
    Data Management Issues
    43
    Expensive
    36
    Limited Customization
    34
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Domo features and usability ratings that predict user satisfaction
    5.9
    Application
    Average: 8.5
    6.4
    Managed Service
    Average: 8.2
    5.8
    Natural Language Understanding
    Average: 8.3
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    63,934 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,331 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

Users
  • Data Analyst
  • Business Analyst
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 49% Mid-Market
  • 29% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Domo is a business intelligence tool that centralizes data, provides real-time insights, and simplifies data transformations and visualizations.
  • Users frequently mention the ease of use, the ability to connect multiple data sources, the intuitive interface, and the automation of data transformations as key benefits.
  • Reviewers noted that the software has a steep learning curve, the Analyzer tool is limited, and the new consumption model is confusing.
Domo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
209
Data Visualization
100
Easy Integrations
82
Integrations
79
Intuitive
79
Cons
Learning Curve
60
Missing Features
48
Data Management Issues
43
Expensive
36
Limited Customization
34
Domo features and usability ratings that predict user satisfaction
5.9
Application
Average: 8.5
6.4
Managed Service
Average: 8.2
5.8
Natural Language Understanding
Average: 8.3
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
63,934 Twitter followers
LinkedIn® Page
www.linkedin.com
1,331 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scie

    Users
    No information available
    Industries
    • Higher Education
    • Education Management
    Market Segment
    • 53% Enterprise
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM SPSS Modeler 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
    Analysis Capabilities
    1
    Analytics
    1
    Data Access
    1
    Data Management
    1
    Data Visualization
    1
    Cons
    Expensive
    1
    Expensive Licensing
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM SPSS Modeler features and usability ratings that predict user satisfaction
    7.5
    Application
    Average: 8.5
    7.6
    Managed Service
    Average: 8.2
    6.4
    Natural Language Understanding
    Average: 8.3
    8.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,824 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scie

Users
No information available
Industries
  • Higher Education
  • Education Management
Market Segment
  • 53% Enterprise
  • 24% Mid-Market
IBM SPSS Modeler 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
Analysis Capabilities
1
Analytics
1
Data Access
1
Data Management
1
Data Visualization
1
Cons
Expensive
1
Expensive Licensing
1
IBM SPSS Modeler features and usability ratings that predict user satisfaction
7.5
Application
Average: 8.5
7.6
Managed Service
Average: 8.2
6.4
Natural Language Understanding
Average: 8.3
8.1
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,824 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Infosys Nia is a knowledge-based AI platform that brings machine learning together with the deep knowledge of an organization to drive automation and innovation and enables businesses to continuously

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Infosys Nia 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
    User Interface
    1
    Cons
    Slow Loading
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Infosys Nia features and usability ratings that predict user satisfaction
    8.0
    Application
    Average: 8.5
    8.7
    Managed Service
    Average: 8.2
    9.0
    Natural Language Understanding
    Average: 8.3
    7.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Infosys
    Year Founded
    1981
    HQ Location
    Bangalore, Karnataka
    Twitter
    @Infosys
    518,010 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    357,742 employees on LinkedIn®
    Ownership
    NSE
Product Description
How are these determined?Information
This description is provided by the seller.

Infosys Nia is a knowledge-based AI platform that brings machine learning together with the deep knowledge of an organization to drive automation and innovation and enables businesses to continuously

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Small-Business
Infosys Nia 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
User Interface
1
Cons
Slow Loading
1
Infosys Nia features and usability ratings that predict user satisfaction
8.0
Application
Average: 8.5
8.7
Managed Service
Average: 8.2
9.0
Natural Language Understanding
Average: 8.3
7.5
Ease of Admin
Average: 8.5
Seller Details
Seller
Infosys
Year Founded
1981
HQ Location
Bangalore, Karnataka
Twitter
@Infosys
518,010 Twitter followers
LinkedIn® Page
www.linkedin.com
357,742 employees on LinkedIn®
Ownership
NSE
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 59% Enterprise
    • 22% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Decision Optimization features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    7.3
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,824 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 59% Enterprise
  • 22% Small-Business
IBM Decision Optimization features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
7.3
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,824 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(509)4.6 out of 5
Optimized for quick response
13th 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.

    Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o

    Users
    • Student
    • Data Scientist
    Industries
    • Higher Education
    • Education Management
    Market Segment
    • 43% Small-Business
    • 30% 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.
    • Altair AI Studio is a software with a no-code, drag and drop interface that enables data connectivity and advanced machine learning for data analytics and decision making.
    • Users frequently mention the ease of use, the ability to connect to data sources directly, the advanced machine learning capabilities, and the drag and drop feature for creating reports.
    • Reviewers mentioned slower performance when handling large datasets, occasional UI bugs, complex integration with certain legacy systems, and complications when contacting support.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Altair AI Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    AI Integration
    6
    Machine Learning
    6
    User Interface
    6
    AI Technology
    5
    Cons
    Complexity
    3
    Large Dataset Handling
    3
    Slow Performance
    3
    Expensive
    2
    Lacking Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Altair AI Studio features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.6
    Natural Language Understanding
    Average: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Altair
    Company Website
    Year Founded
    1985
    HQ Location
    Troy, MI
    LinkedIn® Page
    www.linkedin.com
    3,898 employees on LinkedIn®
    Ownership
    NASDAQ:ALTR
Product Description
How are these determined?Information
This description is provided by the seller.

Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an o

Users
  • Student
  • Data Scientist
Industries
  • Higher Education
  • Education Management
Market Segment
  • 43% Small-Business
  • 30% 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.
  • Altair AI Studio is a software with a no-code, drag and drop interface that enables data connectivity and advanced machine learning for data analytics and decision making.
  • Users frequently mention the ease of use, the ability to connect to data sources directly, the advanced machine learning capabilities, and the drag and drop feature for creating reports.
  • Reviewers mentioned slower performance when handling large datasets, occasional UI bugs, complex integration with certain legacy systems, and complications when contacting support.
Altair AI Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
AI Integration
6
Machine Learning
6
User Interface
6
AI Technology
5
Cons
Complexity
3
Large Dataset Handling
3
Slow Performance
3
Expensive
2
Lacking Features
2
Altair AI Studio features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.6
Natural Language Understanding
Average: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Altair
Company Website
Year Founded
1985
HQ Location
Troy, MI
LinkedIn® Page
www.linkedin.com
3,898 employees on LinkedIn®
Ownership
NASDAQ:ALTR
(34)4.8 out of 5
Optimized for quick response
12th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    RapidCanvas is the trusted partner for transforming your business with AI. Our hybrid approach combines autonomous AI agents with human expertise to make enterprise-grade AI accessible to all organiza

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • RapidCanvas 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
    AI Integration
    3
    Customer Support
    3
    Time-saving
    3
    User Interface
    3
    Cons
    Limited Customization
    2
    Slow Performance
    2
    Complexity
    1
    Difficult Setup
    1
    Lagging Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RapidCanvas features and usability ratings that predict user satisfaction
    9.5
    Application
    Average: 8.5
    9.2
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    9.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2021
    HQ Location
    Austin, Texas
    Twitter
    @rapidcanvas
    80 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

RapidCanvas is the trusted partner for transforming your business with AI. Our hybrid approach combines autonomous AI agents with human expertise to make enterprise-grade AI accessible to all organiza

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Small-Business
  • 32% Mid-Market
RapidCanvas 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
AI Integration
3
Customer Support
3
Time-saving
3
User Interface
3
Cons
Limited Customization
2
Slow Performance
2
Complexity
1
Difficult Setup
1
Lagging Performance
1
RapidCanvas features and usability ratings that predict user satisfaction
9.5
Application
Average: 8.5
9.2
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
9.3
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2021
HQ Location
Austin, Texas
Twitter
@rapidcanvas
80 Twitter followers
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
(22)4.1 out of 5
View top Consulting Services for Google Cloud AutoML
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By lever

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 27% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud AutoML Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Integration
    1
    Ease of Use
    1
    Easy Integrations
    1
    Integrated Platform
    1
    Intuitive
    1
    Cons
    Cost
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud AutoML features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    10.0
    Natural Language Understanding
    Average: 8.3
    7.9
    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
    31,604,653 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By lever

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 27% Enterprise
Google Cloud AutoML Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Integration
1
Ease of Use
1
Easy Integrations
1
Integrated Platform
1
Intuitive
1
Cons
Cost
1
Expensive
1
Google Cloud AutoML features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
10.0
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,604,653 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS® Visual Data Mining and Machine Learning is a comprehensive machine learning application that provides both visual and programming interfaces for users to execute the entire machine learning pipel

    Users
    • Inside Sales Manager
    Industries
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Visual Data Mining and 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
    11
    Features
    7
    Analytics
    5
    Tools
    3
    Data Management
    2
    Cons
    Expensive
    3
    Learning Difficulty
    2
    Slow Performance
    2
    Software Instability
    2
    Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Visual Data Mining and Machine Learning features and usability ratings that predict user satisfaction
    9.0
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.3
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,147 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,202 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS® Visual Data Mining and Machine Learning is a comprehensive machine learning application that provides both visual and programming interfaces for users to execute the entire machine learning pipel

Users
  • Inside Sales Manager
Industries
  • Computer Software
Market Segment
  • 54% Enterprise
  • 26% Mid-Market
SAS Visual Data Mining and 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
11
Features
7
Analytics
5
Tools
3
Data Management
2
Cons
Expensive
3
Learning Difficulty
2
Slow Performance
2
Software Instability
2
Complexity
1
SAS Visual Data Mining and Machine Learning features and usability ratings that predict user satisfaction
9.0
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.3
8.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,147 Twitter followers
LinkedIn® Page
www.linkedin.com
18,202 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Get high performance for deep learning and generative AI training while lowering costs

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Small-Business
    • 21% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Trainium features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.9
    Natural Language Understanding
    Average: 8.3
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,743 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Get high performance for deep learning and generative AI training while lowering costs

Users
No information available
Industries
No information available
Market Segment
  • 64% Small-Business
  • 21% Enterprise
AWS Trainium features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.9
Natural Language Understanding
Average: 8.3
8.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,743 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(12)4.3 out of 5
View top Consulting Services for Google Cloud AI Hub
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Google Cloud’s Artificial Intelligence (AI) Hub is a catalog of plug-and-play AI components, including end-to-end AI pipelines and out-of-the-box algorithms.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud AI Hub features and usability ratings that predict user satisfaction
    8.5
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    7.6
    Natural Language Understanding
    Average: 8.3
    7.5
    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
    31,604,653 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Google Cloud’s Artificial Intelligence (AI) Hub is a catalog of plug-and-play AI components, including end-to-end AI pipelines and out-of-the-box algorithms.

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 33% Enterprise
Google Cloud AI Hub features and usability ratings that predict user satisfaction
8.5
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
7.6
Natural Language Understanding
Average: 8.3
7.5
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,604,653 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG