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Best Data Science and Machine Learning Platforms - Page 3

Blue Bowen
BB
Researched and written by Blue Bowen

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

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

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

Present a way for developers to connect data to the algorithms for them to learn and adapt
Allow users to create machine learning algorithms and/or offer prebuilt machine learning algorithms for more novice users
Provide a platform for deploying AI at scale
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Featured Data Science and Machine Learning Platforms At A Glance

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

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638 Listings in Data Science and Machine Learning Platforms Available
(88)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cloud Pak for Data 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
    3
    Analytics
    2
    Data Analytics
    2
    Data Management
    2
    Insights
    2
    Cons
    Complexity
    3
    Complexity Issues
    3
    Complex Implementation
    2
    Complex Setup
    2
    Difficult Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.2
    7.6
    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 Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 28% Small-Business
IBM Cloud Pak for Data 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
3
Analytics
2
Data Analytics
2
Data Management
2
Insights
2
Cons
Complexity
3
Complexity Issues
3
Complex Implementation
2
Complex Setup
2
Difficult Setup
2
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.2
7.6
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.

    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

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

    Box Skills is a framework that applies best-of-breed AI technologies from leading providers to your content in Box, creating structure and extracting insights from your data at scale.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Mid-Market
    • 31% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Box Skills features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Box
    Year Founded
    1998
    HQ Location
    Redwood City, CA
    Twitter
    @Box
    76,739 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,039 employees on LinkedIn®
    Ownership
    NYSE:BOX
Product Description
How are these determined?Information
This description is provided by the seller.

Box Skills is a framework that applies best-of-breed AI technologies from leading providers to your content in Box, creating structure and extracting insights from your data at scale.

Users
No information available
Industries
No information available
Market Segment
  • 54% Mid-Market
  • 31% Small-Business
Box Skills features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Box
Year Founded
1998
HQ Location
Redwood City, CA
Twitter
@Box
76,739 Twitter followers
LinkedIn® Page
www.linkedin.com
4,039 employees on LinkedIn®
Ownership
NYSE:BOX
  • 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®
(59)4.4 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling di

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 56% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Incorta 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
    Data Integration
    1
    Easy Integrations
    1
    Integrations
    1
    Cons
    Bugs
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Incorta features and usability ratings that predict user satisfaction
    9.8
    Application
    Average: 8.5
    9.6
    Managed Service
    Average: 8.2
    9.4
    Natural Language Understanding
    Average: 8.2
    9.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Incorta
    Company Website
    Year Founded
    2013
    HQ Location
    San Mateo, CA
    LinkedIn® Page
    www.linkedin.com
    321 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling di

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 56% Enterprise
  • 29% Mid-Market
Incorta 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
Data Integration
1
Easy Integrations
1
Integrations
1
Cons
Bugs
1
Incorta features and usability ratings that predict user satisfaction
9.8
Application
Average: 8.5
9.6
Managed Service
Average: 8.2
9.4
Natural Language Understanding
Average: 8.2
9.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Incorta
Company Website
Year Founded
2013
HQ Location
San Mateo, CA
LinkedIn® Page
www.linkedin.com
321 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
    • Senior Software Engineer
    • 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
  • Senior Software Engineer
  • 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.

    TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway - to securely manage, route, and govern AI workloads across providers. Its agentic deploym

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TrueFoundry 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
    39
    Customer Support
    29
    Deployment Ease
    24
    User Interface
    22
    Setup Ease
    15
    Cons
    Missing Features
    9
    Deployment Issues
    4
    Difficult Setup
    4
    Complexity Issues
    3
    Lacking Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TrueFoundry features and usability ratings that predict user satisfaction
    8.1
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.1
    Natural Language Understanding
    Average: 8.2
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2021
    HQ Location
    San Francisco, California
    LinkedIn® Page
    www.linkedin.com
    89 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TrueFoundry is a unified platform with an enterprise-grade AI Gateway - combining LLM, MCP, and Agent Gateway - to securely manage, route, and govern AI workloads across providers. Its agentic deploym

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 38% Small-Business
TrueFoundry 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
39
Customer Support
29
Deployment Ease
24
User Interface
22
Setup Ease
15
Cons
Missing Features
9
Deployment Issues
4
Difficult Setup
4
Complexity Issues
3
Lacking Features
3
TrueFoundry features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.1
Natural Language Understanding
Average: 8.2
9.0
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2021
HQ Location
San Francisco, California
LinkedIn® Page
www.linkedin.com
89 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflo

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Small-Business
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DagsHub 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
    Data Management
    12
    Model Management
    12
    Collaboration
    11
    Features
    10
    Integrated Platform
    10
    Cons
    Limited Functionality
    2
    Error Handling
    1
    Expensive
    1
    Limited Customization
    1
    Limited Free Access
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DagsHub features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.2
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DagsHub
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    14 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DagsHub is a platform that allows you to easily create high-quality datasets for better model performance A single AI platform to curate vision, audio, and document data - automate labeling workflo

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Small-Business
  • 43% Mid-Market
DagsHub 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
Data Management
12
Model Management
12
Collaboration
11
Features
10
Integrated Platform
10
Cons
Limited Functionality
2
Error Handling
1
Expensive
1
Limited Customization
1
Limited Free Access
1
DagsHub features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.2
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
DagsHub
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typicall

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Small-Business
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Plotly Dash Enterprise 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
    Charting Features
    1
    Coding Ease
    1
    Customer Support
    1
    Dashboard Management
    1
    Data Visualization
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Plotly Dash Enterprise features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Plotly
    Year Founded
    2013
    HQ Location
    Montréal, CA
    Twitter
    @plotlygraphs
    41,534 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    128 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typicall

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Small-Business
  • 31% Enterprise
Plotly Dash Enterprise 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
Charting Features
1
Coding Ease
1
Customer Support
1
Dashboard Management
1
Data Visualization
1
Cons
This product has not yet received any negative sentiments.
Plotly Dash Enterprise features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Plotly
Year Founded
2013
HQ Location
Montréal, CA
Twitter
@plotlygraphs
41,534 Twitter followers
LinkedIn® Page
www.linkedin.com
128 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more dat

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 44% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Neo4j Graph Data Science 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
    Data Analysis
    1
    Ease of Use
    1
    Fast Processing
    1
    Powerful
    1
    Problem Solving
    1
    Cons
    Cost Issues
    1
    Expensive
    1
    Expensive Subscriptions
    1
    Limited Capacity
    1
    Limited Storage
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neo4j Graph Data Science features and usability ratings that predict user satisfaction
    8.5
    Application
    Average: 8.5
    8.3
    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
    Neo4j
    Year Founded
    2007
    HQ Location
    San Mateo, CA
    Twitter
    @neo4j
    46,676 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    890 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more dat

Users
No information available
Industries
No information available
Market Segment
  • 44% Mid-Market
  • 38% Small-Business
Neo4j Graph Data Science 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
Data Analysis
1
Ease of Use
1
Fast Processing
1
Powerful
1
Problem Solving
1
Cons
Cost Issues
1
Expensive
1
Expensive Subscriptions
1
Limited Capacity
1
Limited Storage
1
Neo4j Graph Data Science features and usability ratings that predict user satisfaction
8.5
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Neo4j
Year Founded
2007
HQ Location
San Mateo, CA
Twitter
@neo4j
46,676 Twitter followers
LinkedIn® Page
www.linkedin.com
890 employees on LinkedIn®
(93)4.3 out of 5
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.data 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
    29
    Features
    20
    Analytics
    18
    Data Management
    17
    Flexibility
    16
    Cons
    Learning Curve
    22
    Expensive
    15
    Complexity
    10
    Difficulty
    10
    Integration Issues
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data features and usability ratings that predict user satisfaction
    5.8
    Application
    Average: 8.5
    7.2
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.2
    7.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 29% Small-Business
IBM watsonx.data 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
29
Features
20
Analytics
18
Data Management
17
Flexibility
16
Cons
Learning Curve
22
Expensive
15
Complexity
10
Difficulty
10
Integration Issues
9
IBM watsonx.data features and usability ratings that predict user satisfaction
5.8
Application
Average: 8.5
7.2
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.2
7.6
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 39% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataloop Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Annotation Efficiency
    5
    Easy Integrations
    5
    Annotation Tools
    4
    Features
    4
    Cons
    Lagging Issues
    5
    Performance Issues
    5
    Lagging Performance
    3
    Latency Issues
    3
    Slow Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataloop features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.6
    Natural Language Understanding
    Average: 8.2
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataloop
    Year Founded
    2017
    HQ Location
    Herzliya, IL
    LinkedIn® Page
    www.linkedin.com
    73 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataloop is a cutting-edge AI Development Platform that's transforming the way organizations build AI applications. Our platform is meticulously crafted to cater to developers at the heart of the AI d

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 39% Mid-Market
  • 32% Small-Business
Dataloop Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Annotation Efficiency
5
Easy Integrations
5
Annotation Tools
4
Features
4
Cons
Lagging Issues
5
Performance Issues
5
Lagging Performance
3
Latency Issues
3
Slow Performance
3
Dataloop features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.6
Natural Language Understanding
Average: 8.2
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataloop
Year Founded
2017
HQ Location
Herzliya, IL
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.

    Explorium offers a first-of-its-kind data science platform powered by automatic data discovery and feature engineering. By automatically connecting to thousands of external data sources (premium, part

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 69% Mid-Market
    • 23% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Explorium features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    10.0
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.2
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Explorium
    HQ Location
    San Mateo, California
    Twitter
    @Explorium_ai
    1,373 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    87 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Explorium offers a first-of-its-kind data science platform powered by automatic data discovery and feature engineering. By automatically connecting to thousands of external data sources (premium, part

Users
No information available
Industries
  • Financial Services
Market Segment
  • 69% Mid-Market
  • 23% Small-Business
Explorium features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
10.0
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.2
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Explorium
HQ Location
San Mateo, California
Twitter
@Explorium_ai
1,373 Twitter followers
LinkedIn® Page
www.linkedin.com
87 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 Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patter

    Users
    No information available
    Industries
    • Higher Education
    • Information Technology and Services
    Market Segment
    • 59% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Enterprise Miner 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 Installation
    1
    Ease of Use
    1
    Statistical Analysis
    1
    Cons
    Learning Curve
    1
    Not User-Friendly
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Enterprise Miner features and usability ratings that predict user satisfaction
    8.1
    Application
    Average: 8.5
    8.1
    Managed Service
    Average: 8.2
    8.1
    Natural Language Understanding
    Average: 8.2
    7.7
    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 Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patter

Users
No information available
Industries
  • Higher Education
  • Information Technology and Services
Market Segment
  • 59% Enterprise
  • 29% Mid-Market
SAS Enterprise Miner 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 Installation
1
Ease of Use
1
Statistical Analysis
1
Cons
Learning Curve
1
Not User-Friendly
1
Steep Learning Curve
1
SAS Enterprise Miner features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.5
8.1
Managed Service
Average: 8.2
8.1
Natural Language Understanding
Average: 8.2
7.7
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