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.

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Featured Data Science and Machine Learning Platforms At A Glance

Leader:
Vertex AI
Vertex AI
Highest Performer:
Hex
Hex
Easiest to Use:
Databricks
Databricks
Top Trending:
Vertex AI
Vertex AI
Show LessShow More
Highest Performer:
Hex
Hex
Easiest to Use:
Databricks
Databricks
Top Trending:
Vertex AI
Vertex AI

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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764 Listings in Data Science and Machine Learning Platforms Available
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    G2 Score
Amazon SageMaker
(48)4.2 out of 5
View top Consulting Services for Amazon SageMaker
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 33% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Amazon SageMaker Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    AI Integration
    2
    Computing Power
    2
    Efficiency
    2
    Fast Processing
    2
    Cons
    Expensive
    3
    Complexity
    2
    Complexity Issues
    2
    Learning Curve
    2
    Difficult Learning
    1
    View All Pros and Cons
  • 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
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,162 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 33% Enterprise
  • 31% Small-Business
Amazon SageMaker Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
AI Integration
2
Computing Power
2
Efficiency
2
Fast Processing
2
Cons
Expensive
3
Complexity
2
Complexity Issues
2
Learning Curve
2
Difficult Learning
1
View All Pros and Cons
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
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,162 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Posit
(568)4.5 out of 5
  • 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
    13
    Features
    9
    Open Source
    7
    Customer Support
    5
    Easy Integrations
    5
    Cons
    Slow Performance
    7
    Learning Curve
    4
    Performance Issues
    4
    Steep Learning Curve
    4
    Lagging Performance
    3
    View All Pros and Cons
  • 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
    121,531 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    452 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
13
Features
9
Open Source
7
Customer Support
5
Easy Integrations
5
Cons
Slow Performance
7
Learning Curve
4
Performance Issues
4
Steep Learning Curve
4
Lagging Performance
3
View All Pros and Cons
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
121,531 Twitter followers
LinkedIn® Page
www.linkedin.com
452 employees on LinkedIn®
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Alteryx
(671)4.6 out of 5
Optimized for quick response
10th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Alteryx
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 through a drag and drop interface.
    • Reviewers frequently mention the platform's ability to automate repetitive tasks, handle large datasets, and streamline data processes, allowing teams to focus more on insights rather than data wrangling.
    • Reviewers noted that the pricing is on the higher side, performance can slow down with very large workflows, and there are issues with data type mismatches and software crashes.
  • 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
    333
    Automation
    148
    Intuitive
    132
    Easy Learning
    102
    Efficiency
    102
    Cons
    Expensive
    88
    Learning Curve
    80
    Missing Features
    62
    Learning Difficulty
    55
    Slow Performance
    41
    View All Pros and Cons
  • 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
    26,245 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 through a drag and drop interface.
  • Reviewers frequently mention the platform's ability to automate repetitive tasks, handle large datasets, and streamline data processes, allowing teams to focus more on insights rather than data wrangling.
  • Reviewers noted that the pricing is on the higher side, performance can slow down with very large workflows, and there are issues with data type mismatches and software crashes.
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
333
Automation
148
Intuitive
132
Easy Learning
102
Efficiency
102
Cons
Expensive
88
Learning Curve
80
Missing Features
62
Learning Difficulty
55
Slow Performance
41
View All Pros and Cons
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
26,245 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
IBM Watson Studio
(166)4.2 out of 5
  • 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 Technology
    4
    Ease of Use
    4
    Machine Learning
    4
    AI Integration
    3
    Cons
    Expensive
    3
    Learning Curve
    3
    Steep Learning Curve
    3
    Complex Interface
    1
    Complexity
    1
    View All Pros and Cons
  • 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
    708,744 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 Technology
4
Ease of Use
4
Machine Learning
4
AI Integration
3
Cons
Expensive
3
Learning Curve
3
Steep Learning Curve
3
Complex Interface
1
Complexity
1
View All Pros and Cons
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
708,744 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Azure Machine Learning
(88)4.3 out of 5
  • 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
    3
    Features
    3
    Customer Support
    2
    Data Management
    2
    Efficiency
    2
    Cons
    Learning Curve
    3
    Difficult Navigation
    2
    UX Improvement
    2
    Complex Interface
    1
    Difficult Learning
    1
    View All Pros and Cons
  • 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
    13,088,482 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
3
Features
3
Customer Support
2
Data Management
2
Efficiency
2
Cons
Learning Curve
3
Difficult Navigation
2
UX Improvement
2
Complex Interface
1
Difficult Learning
1
View All Pros and Cons
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
13,088,482 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
Domo
(990)4.3 out of 5
Optimized for quick response
View top Consulting Services for Domo
Free trial available
  • 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 used to aggregate data from various sources and display it in a unified manner, with features such as custom visualization and app creation.
    • Reviewers appreciate Domo's ease of use, its ability to cater to non-technical users, and its Magic ETL feature which simplifies data transformation and visualization.
    • Users experienced issues with Domo's performance during product launches, difficulties in data cleaning and sorting, and complexities in the pricing model and licensing.
  • 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
    248
    Data Visualization
    116
    Intuitive
    95
    Easy Integrations
    93
    Integrations
    88
    Cons
    Learning Curve
    66
    Missing Features
    59
    Data Management Issues
    55
    Expensive
    45
    Complexity
    43
    View All Pros and Cons
  • 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
    8.1
    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
    63,798 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,336 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 used to aggregate data from various sources and display it in a unified manner, with features such as custom visualization and app creation.
  • Reviewers appreciate Domo's ease of use, its ability to cater to non-technical users, and its Magic ETL feature which simplifies data transformation and visualization.
  • Users experienced issues with Domo's performance during product launches, difficulties in data cleaning and sorting, and complexities in the pricing model and licensing.
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
248
Data Visualization
116
Intuitive
95
Easy Integrations
93
Integrations
88
Cons
Learning Curve
66
Missing Features
59
Data Management Issues
55
Expensive
45
Complexity
43
View All Pros and Cons
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
8.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
63,798 Twitter followers
LinkedIn® Page
www.linkedin.com
1,336 employees on LinkedIn®
IBM SPSS Modeler
(148)4.0 out of 5
Entry Level Price:Starting at $7,430 USD...
  • 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
    View All Pros and Cons
  • 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
    708,744 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
View All Pros and Cons
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
708,744 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Cloudera Data Engineering
(23)4.7 out of 5
  • 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
    • Computer Software
    • Information Technology and Services
    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
    106,691 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
  • Computer Software
  • Information Technology and Services
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
106,691 Twitter followers
LinkedIn® Page
www.linkedin.com
3,338 employees on LinkedIn®
Phone
888-789-1488
Altair AI Studio
(513)4.6 out of 5
Optimized for quick response
14th Easiest To Use in Data Science and Machine Learning Platforms software
  • 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
    Machine Learning
    8
    AI Integration
    6
    AI Technology
    5
    Automation
    5
    Cons
    Complexity
    4
    Large Dataset Handling
    3
    Slow Performance
    3
    Complexity Issues
    2
    Complex Usage
    2
    View All Pros and Cons
  • 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
    3,169 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
Machine Learning
8
AI Integration
6
AI Technology
5
Automation
5
Cons
Complexity
4
Large Dataset Handling
3
Slow Performance
3
Complexity Issues
2
Complex Usage
2
View All Pros and Cons
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
3,169 employees on LinkedIn®
Ownership
NASDAQ:ALTR
IBM Decision Optimization
(41)4.5 out of 5
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
    708,744 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
708,744 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Infosys Nia
(12)4.3 out of 5
  • 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
  • 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
    518,143 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    366,018 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 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
518,143 Twitter followers
LinkedIn® Page
www.linkedin.com
366,018 employees on LinkedIn®
Ownership
NSE
RapidCanvas
(35)4.8 out of 5
Optimized for quick response
13th Easiest To Use in Data Science and Machine Learning Platforms software
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
    • 46% Small-Business
    • 31% 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
    6
    Time-saving
    4
    User Interface
    4
    AI Integration
    3
    Customer Support
    3
    Cons
    Slow Performance
    3
    Limited Customization
    2
    Complexity
    1
    Difficult Setup
    1
    Insufficient Learning Resources
    1
    View All Pros and Cons
  • 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
    Seller
    RapidCanvas
    Company Website
    Year Founded
    2021
    HQ Location
    Austin, Texas
    Twitter
    @rapidcanvas
    82 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    83 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
  • 46% Small-Business
  • 31% 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
6
Time-saving
4
User Interface
4
AI Integration
3
Customer Support
3
Cons
Slow Performance
3
Limited Customization
2
Complexity
1
Difficult Setup
1
Insufficient Learning Resources
1
View All Pros and Cons
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
Seller
RapidCanvas
Company Website
Year Founded
2021
HQ Location
Austin, Texas
Twitter
@rapidcanvas
82 Twitter followers
LinkedIn® Page
www.linkedin.com
83 employees on LinkedIn®
Google Cloud AutoML
(22)4.1 out of 5
View top Consulting Services for Google Cloud AutoML
  • 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% Mid-Market
  • 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
    View All Pros and Cons
  • 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
    31,775,247 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% Mid-Market
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
View All Pros and Cons
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
31,775,247 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
AWS Trainium
(14)4.5 out of 5
  • 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
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,162 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
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,162 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Pecan
(35)4.7 out of 5
Entry Level Price:Starting at $760.00
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn busine

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 54% Mid-Market
    • 20% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Pecan Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    25
    Customer Support
    18
    Speed
    15
    Problem Solving
    13
    Implementation Ease
    11
    Cons
    Learning Difficulty
    9
    Limitations
    8
    Limited Features
    8
    Learning Curve
    7
    Limited Customization
    5
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Pecan features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    5.0
    Natural Language Understanding
    Average: 8.3
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Pecan.ai
    Company Website
    Year Founded
    2018
    HQ Location
    US, Israel
    Twitter
    @pecan_ai
    1,147 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    83 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn busine

Users
No information available
Industries
  • Retail
Market Segment
  • 54% Mid-Market
  • 20% Enterprise
Pecan Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
25
Customer Support
18
Speed
15
Problem Solving
13
Implementation Ease
11
Cons
Learning Difficulty
9
Limitations
8
Limited Features
8
Learning Curve
7
Limited Customization
5
View All Pros and Cons
Pecan features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
5.0
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Pecan.ai
Company Website
Year Founded
2018
HQ Location
US, Israel
Twitter
@pecan_ai
1,147 Twitter followers
LinkedIn® Page
www.linkedin.com
83 employees on LinkedIn®
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