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Best Data Science and Machine Learning Platforms for Small Business - Page 2

Blue Bowen
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Researched and written by Blue Bowen

Products classified in the overall Data Science and Machine Learning Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Data Science and Machine Learning Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Data Science and Machine Learning Platforms category.

In addition to qualifying for inclusion in the Data Science and Machine Learning Platforms category, to qualify for inclusion in the Small Business Data Science and Machine Learning Platforms category, a product must have at least 10 reviews left by a reviewer from a small business.

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

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

(34)4.8 out of 5
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
    7
    Customer Support
    4
    User Interface
    4
    Collaboration
    3
    Easy Integrations
    3
    Cons
    Limited Customization
    2
    Slow Performance
    2
    Filtering Issues
    1
    Lagging Performance
    1
    Slow Loading
    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: 8.2
    9.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Austin, Texas
    Twitter
    @rapidcanvas
    89 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
7
Customer Support
4
User Interface
4
Collaboration
3
Easy Integrations
3
Cons
Limited Customization
2
Slow Performance
2
Filtering Issues
1
Lagging Performance
1
Slow Loading
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: 8.2
9.3
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2021
HQ Location
Austin, Texas
Twitter
@rapidcanvas
89 Twitter followers
LinkedIn® Page
www.linkedin.com
73 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Machine Learning Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    7
    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: 8.2
    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
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 34% Small-Business
Azure Machine Learning Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
7
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: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

    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
    7
    Open Source
    5
    Features
    4
    Easy Integrations
    3
    Cloud Computing
    2
    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: 8.2
    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
    122,534 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 was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

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
7
Open Source
5
Features
4
Easy Integrations
3
Cloud Computing
2
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: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
122,534 Twitter followers
LinkedIn® Page
www.linkedin.com
459 employees on LinkedIn®
(22)4.1 out of 5
View top Consulting Services for Google Cloud AutoML
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google

    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: 8.2
    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
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google

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: 8.2
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(663)4.6 out of 5
Optimized for quick response
7th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Alteryx
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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
    • 63% 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 software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
    • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
    • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    324
    Automation
    140
    Intuitive
    130
    Easy Learning
    101
    Problem Solving
    101
    Cons
    Expensive
    86
    Learning Curve
    80
    Missing Features
    61
    Learning Difficulty
    54
    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: 8.2
    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
    26,388 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
  • 63% 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 software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
  • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
  • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
324
Automation
140
Intuitive
130
Easy Learning
101
Problem Solving
101
Cons
Expensive
86
Learning Curve
80
Missing Features
61
Learning Difficulty
54
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: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,388 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
(24)4.7 out of 5
8th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:$30 per month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Enjoy the power of Programmatic Machine Learning

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    Market Segment
    • 88% Small-Business
    • 8% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BigML features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    9.2
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.2
    9.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BigML
    Year Founded
    2011
    HQ Location
    Corvallis, OR
    Twitter
    @bigmlcom
    6,134 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Enjoy the power of Programmatic Machine Learning

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
Market Segment
  • 88% Small-Business
  • 8% Mid-Market
BigML features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
9.2
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.2
9.3
Ease of Admin
Average: 8.5
Seller Details
Seller
BigML
Year Founded
2011
HQ Location
Corvallis, OR
Twitter
@bigmlcom
6,134 Twitter followers
LinkedIn® Page
www.linkedin.com
30 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
    • 51% 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: 8.2
    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
    709,117 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
  • 51% 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: 8.2
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 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.

    Domino powers model-driven businesses with its leading Enterprise AI platform that accelerates the development and deployment of data science work while increasing collaboration and governance. More t

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 46% Enterprise
    • 39% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Domino Enterprise AI Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    6
    Cloud Computing
    4
    Cloud Services
    4
    Training Efficiency
    3
    Capabilities
    2
    Cons
    Data Security
    1
    Difficult Setup
    1
    Expensive
    1
    Implementation Difficulty
    1
    Initial Difficulties
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Domino Enterprise AI Platform features and usability ratings that predict user satisfaction
    8.5
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    8.2
    Natural Language Understanding
    Average: 8.2
    8.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @DominoDataLab
    8,005 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    264 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Domino powers model-driven businesses with its leading Enterprise AI platform that accelerates the development and deployment of data science work while increasing collaboration and governance. More t

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 46% Enterprise
  • 39% Small-Business
Domino Enterprise AI Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
6
Cloud Computing
4
Cloud Services
4
Training Efficiency
3
Capabilities
2
Cons
Data Security
1
Difficult Setup
1
Expensive
1
Implementation Difficulty
1
Initial Difficulties
1
Domino Enterprise AI Platform features and usability ratings that predict user satisfaction
8.5
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
8.2
Natural Language Understanding
Average: 8.2
8.1
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@DominoDataLab
8,005 Twitter followers
LinkedIn® Page
www.linkedin.com
264 employees on LinkedIn®
(508)4.6 out of 5
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 Technology
    6
    Machine Learning
    6
    AI Integration
    5
    User Interface
    5
    Cons
    Large Dataset Handling
    3
    Slow Performance
    3
    Complexity
    2
    Expensive
    2
    Poor Performance
    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: 8.2
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Altair
    Year Founded
    1985
    HQ Location
    Troy, MI
    Twitter
    @Altair_Inc
    7,241 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,078 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 Technology
6
Machine Learning
6
AI Integration
5
User Interface
5
Cons
Large Dataset Handling
3
Slow Performance
3
Complexity
2
Expensive
2
Poor Performance
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: 8.2
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Altair
Year Founded
1985
HQ Location
Troy, MI
Twitter
@Altair_Inc
7,241 Twitter followers
LinkedIn® Page
www.linkedin.com
4,078 employees on LinkedIn®
Ownership
NASDAQ:ALTR
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 62% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    13
    Model Variety
    11
    AI Technology
    9
    Ease of Use
    9
    User Interface
    9
    Cons
    Expensive
    8
    Complexity
    4
    Poor UI Design
    4
    UX Improvement
    4
    Difficult Learning
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.1
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.2
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    94 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clarifai is a leader in AI orchestration and development, helping organizations, teams, and developers build, deploy, orchestrate, and operationalize AI at scale. Clarifai’s cutting-edge AI workflow o

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 62% Small-Business
  • 26% Mid-Market
Clarifai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
13
Model Variety
11
AI Technology
9
Ease of Use
9
User Interface
9
Cons
Expensive
8
Complexity
4
Poor UI Design
4
UX Improvement
4
Difficult Learning
3
Clarifai features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.1
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.2
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Clarifai
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,849 Twitter followers
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analyt

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 38% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TIMi 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
    Customer Support
    2
    Ease of Use
    2
    Features
    2
    Automation
    1
    Charting Features
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TIMi features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    9.0
    Natural Language Understanding
    Average: 8.2
    8.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TIMi SPRL
    Company Website
    Year Founded
    2007
    HQ Location
    Brussels
    Twitter
    @TIMiSuite
    3,567 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analyt

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 38% Small-Business
  • 34% Enterprise
TIMi 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
Customer Support
2
Ease of Use
2
Features
2
Automation
1
Charting Features
1
Cons
This product has not yet received any negative sentiments.
TIMi features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
9.0
Natural Language Understanding
Average: 8.2
8.5
Ease of Admin
Average: 8.5
Seller Details
Seller
TIMi SPRL
Company Website
Year Founded
2007
HQ Location
Brussels
Twitter
@TIMiSuite
3,567 Twitter followers
LinkedIn® Page
www.linkedin.com
78 employees on LinkedIn®
  • 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: 8.2
    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
    61,236 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 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: 8.2
8.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,236 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
Phone
1-800-727-0025
(24)4.5 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    H2O.ai is the leading AI Cloud company, on a mission to democratize AI and drive an open AI movement around the world. They focus on drawing insights from structured and unstructured data like video a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • H2O features and usability ratings that predict user satisfaction
    7.0
    Application
    Average: 8.5
    6.9
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    H2O.ai
    Year Founded
    2012
    HQ Location
    Mountain View, CA
    Twitter
    @h2oai
    25,378 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    329 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

H2O.ai is the leading AI Cloud company, on a mission to democratize AI and drive an open AI movement around the world. They focus on drawing insights from structured and unstructured data like video a

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 29% Enterprise
H2O features and usability ratings that predict user satisfaction
7.0
Application
Average: 8.5
6.9
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
H2O.ai
Year Founded
2012
HQ Location
Mountain View, CA
Twitter
@h2oai
25,378 Twitter followers
LinkedIn® Page
www.linkedin.com
329 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Design, train, and deploy deep learning models without coding.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 59% Small-Business
    • 24% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deep Cognition features and usability ratings that predict user satisfaction
    7.5
    Application
    Average: 8.5
    6.7
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.2
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Dallas, Texas
    Twitter
    @DeepCogLabs
    14 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    54 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Design, train, and deploy deep learning models without coding.

Users
No information available
Industries
No information available
Market Segment
  • 59% Small-Business
  • 24% Mid-Market
Deep Cognition features and usability ratings that predict user satisfaction
7.5
Application
Average: 8.5
6.7
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.2
8.7
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2017
HQ Location
Dallas, Texas
Twitter
@DeepCogLabs
14 Twitter followers
LinkedIn® Page
www.linkedin.com
54 employees on LinkedIn®