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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 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

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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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639 Listings in Data Science and Machine Learning Platforms Available
(81)4.4 out of 5
View top Consulting Services for Qlik Predict
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simpl

    Users
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Qlik Predict Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    5
    Ease of Use
    5
    AI Integration
    4
    Machine Learning
    4
    AI Capabilities
    3
    Cons
    Limited Customization
    4
    Deployment Issues
    2
    Lacking Features
    2
    Required Knowledge
    2
    Tool Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qlik Predict features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.8
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,524 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,586 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simpl

Users
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Enterprise
  • 31% Small-Business
Qlik Predict Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
5
Ease of Use
5
AI Integration
4
Machine Learning
4
AI Capabilities
3
Cons
Limited Customization
4
Deployment Issues
2
Lacking Features
2
Required Knowledge
2
Tool Limitations
2
Qlik Predict features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.8
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,524 Twitter followers
LinkedIn® Page
www.linkedin.com
4,586 employees on LinkedIn®
Phone
1 (888) 994-9854
(88)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
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  • 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: 8.3
    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
    708,845 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: 8.3
7.6
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,845 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM

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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
    76,937 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,095 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
76,937 Twitter followers
LinkedIn® Page
www.linkedin.com
4,095 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: 8.3
    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
    7,994 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: 8.3
8.1
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@DominoDataLab
7,994 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
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  • 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: 8.3
    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: 8.3
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
7th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:$30 per month
  • Overview
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  • 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: 8.3
    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
    6,125 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: 8.3
9.3
Ease of Admin
Average: 8.5
Seller Details
Seller
BigML
Year Founded
2011
HQ Location
Corvallis, OR
Twitter
@bigmlcom
6,125 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.

    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
    41,481 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    120 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
41,481 Twitter followers
LinkedIn® Page
www.linkedin.com
120 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
    28
    Customer Support
    20
    User Interface
    19
    Deployment Ease
    18
    Easy Integrations
    12
    Cons
    Missing Features
    7
    Complexity Issues
    3
    Deployment Issues
    3
    Difficult Setup
    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: 8.3
    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
28
Customer Support
20
User Interface
19
Deployment Ease
18
Easy Integrations
12
Cons
Missing Features
7
Complexity Issues
3
Deployment Issues
3
Difficult Setup
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: 8.3
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: 8.3
    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: 8.3
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.

    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
  • 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: 8.3
    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
    46,708 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 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: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Neo4j
Year Founded
2007
HQ Location
San Mateo, CA
Twitter
@neo4j
46,708 Twitter followers
LinkedIn® Page
www.linkedin.com
890 employees on LinkedIn®
(94)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
    • 36% 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
    47
    Features
    31
    Data Management
    29
    Analytics
    24
    Flexibility
    22
    Cons
    Learning Curve
    29
    Complexity
    18
    Expensive
    18
    Difficulty
    14
    Integration Issues
    14
  • 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: 8.3
    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
    708,845 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
  • 36% 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
47
Features
31
Data Management
29
Analytics
24
Flexibility
22
Cons
Learning Curve
29
Complexity
18
Expensive
18
Difficulty
14
Integration Issues
14
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: 8.3
7.6
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,845 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Entry Level Price:$950.00
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pecan AI is a predictive modeling platform that empowers business teams to quickly build no-code machine learning models for use cases like customer churn prediction, demand forecasting, and customer

    Users
    No information available
    Industries
    • Retail
    Market Segment
    • 56% Mid-Market
    • 22% 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
    18
    Customer Support
    12
    Problem Solving
    11
    Speed
    10
    Machine Learning
    9
    Cons
    Learning Difficulty
    7
    Limitations
    7
    Limited Features
    7
    Learning Curve
    5
    Data Management Issues
    4
  • 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
    1,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    80 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pecan AI is a predictive modeling platform that empowers business teams to quickly build no-code machine learning models for use cases like customer churn prediction, demand forecasting, and customer

Users
No information available
Industries
  • Retail
Market Segment
  • 56% Mid-Market
  • 22% 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
18
Customer Support
12
Problem Solving
11
Speed
10
Machine Learning
9
Cons
Learning Difficulty
7
Limitations
7
Limited Features
7
Learning Curve
5
Data Management Issues
4
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
1,146 Twitter followers
LinkedIn® Page
www.linkedin.com
80 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
    5
    Annotation Efficiency
    3
    Annotation Tools
    3
    Easy Integrations
    3
    Integrations
    3
    Cons
    Deployment Delays
    2
    Deployment Issues
    2
    Integration Issues
    2
    Complexity
    1
    Confusing Syntax
    1
  • 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: 8.3
    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
5
Annotation Efficiency
3
Annotation Tools
3
Easy Integrations
3
Integrations
3
Cons
Deployment Delays
2
Deployment Issues
2
Integration Issues
2
Complexity
1
Confusing Syntax
1
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: 8.3
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: 8.3
    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
    1,370 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    92 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: 8.3
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Explorium
HQ Location
San Mateo, California
Twitter
@Explorium_ai
1,370 Twitter followers
LinkedIn® Page
www.linkedin.com
92 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 comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze va

    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: 8.3
    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
    61,193 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,202 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze va

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: 8.3
7.7
Ease of Admin
Average: 8.5
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,193 Twitter followers
LinkedIn® Page
www.linkedin.com
18,202 employees on LinkedIn®
Phone
1-800-727-0025