Best Data Science and Machine Learning Platforms - Page 5

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Researched and written by Matthew Miller

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

Best Data Science and Machine Learning Platforms At A Glance

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Highest Performer:
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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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250 Listings in Data Science and Machine Learning Platforms Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 45% Enterprise
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Seldon features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.6
    6.7
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Seldon
    Year Founded
    2014
    HQ Location
    London, GB
    Twitter
    @seldon_io
    2,285 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.

Seldon gets machine learning models to production faster, in the most reliable way. Front-end deployment of models, explainers and canaries means users can deploy ML models and testing can be done in

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 45% Enterprise
  • 36% Small-Business
Seldon features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.6
6.7
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Seldon
Year Founded
2014
HQ Location
London, GB
Twitter
@seldon_io
2,285 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.

    Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Neural Designer 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
    Coding Ease
    3
    Ease of Use
    3
    Intuitive
    3
    Drag
    2
    Machine Learning
    2
    Cons
    Complex Implementation
    1
    Complexity
    1
    Expensive
    1
    Insufficient Learning Resources
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Neural Designer features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.6
    7.3
    Managed Service
    Average: 8.2
    5.7
    Natural Language Understanding
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Artelnics
    Year Founded
    2014
    HQ Location
    Villamayor, Salamanca
    Twitter
    @artelnics
    818 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Neural Designer 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
Coding Ease
3
Ease of Use
3
Intuitive
3
Drag
2
Machine Learning
2
Cons
Complex Implementation
1
Complexity
1
Expensive
1
Insufficient Learning Resources
1
Limited Features
1
Neural Designer features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.6
7.3
Managed Service
Average: 8.2
5.7
Natural Language Understanding
Average: 8.4
0.0
No information available
Seller Details
Seller
Artelnics
Year Founded
2014
HQ Location
Villamayor, Salamanca
Twitter
@artelnics
818 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®

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(6)3.7 out of 5
View top Consulting Services for Oracle Data Science Cloud Service
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. The pl

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Data Science Cloud Service features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    9.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,403 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. The pl

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 33% Small-Business
Oracle Data Science Cloud Service features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
9.4
Ease of Admin
Average: 8.5
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,403 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrati

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Enterprise
    • 42% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Palantir Foundry Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Customer Support
    2
    Analysis
    1
    Analysis Efficiency
    1
    Analytics
    1
    Cons
    Difficult Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Palantir Foundry features and usability ratings that predict user satisfaction
    7.1
    Application
    Average: 8.6
    7.5
    Managed Service
    Average: 8.2
    8.9
    Natural Language Understanding
    Average: 8.4
    5.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Palantir
    HQ Location
    Denver, US
    Twitter
    @PalantirTech
    272,475 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,031 employees on LinkedIn®
    Ownership
    PLTR (NYSE)
Product Description
How are these determined?Information
This description is provided by the seller.

Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrati

Users
No information available
Industries
No information available
Market Segment
  • 42% Enterprise
  • 42% Small-Business
Palantir Foundry Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Customer Support
2
Analysis
1
Analysis Efficiency
1
Analytics
1
Cons
Difficult Navigation
1
Palantir Foundry features and usability ratings that predict user satisfaction
7.1
Application
Average: 8.6
7.5
Managed Service
Average: 8.2
8.9
Natural Language Understanding
Average: 8.4
5.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Palantir
HQ Location
Denver, US
Twitter
@PalantirTech
272,475 Twitter followers
LinkedIn® Page
www.linkedin.com
4,031 employees on LinkedIn®
Ownership
PLTR (NYSE)
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insig

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Mid-Market
    • 30% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Palantir Gotham features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.6
    9.2
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Palantir
    HQ Location
    Denver, US
    Twitter
    @PalantirTech
    272,475 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,031 employees on LinkedIn®
    Ownership
    PLTR (NYSE)
Product Description
How are these determined?Information
This description is provided by the seller.

Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains. For over a decade, Gotham has surfaced insig

Users
No information available
Industries
No information available
Market Segment
  • 40% Mid-Market
  • 30% Enterprise
Palantir Gotham features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.6
9.2
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.4
0.0
No information available
Seller Details
Seller
Palantir
HQ Location
Denver, US
Twitter
@PalantirTech
272,475 Twitter followers
LinkedIn® Page
www.linkedin.com
4,031 employees on LinkedIn®
Ownership
PLTR (NYSE)
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 57% Small-Business
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Labellerr 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
    10
    Annotation Efficiency
    6
    Collaboration
    4
    Customer Support
    4
    Efficiency
    4
    Cons
    Latency Issues
    3
    Performance Issues
    3
    Difficult Setup
    1
    Lacking Features
    1
    Lack of Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Labellerr features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.6
    8.3
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Wilmington, Delaware
    Twitter
    @Labellerr1
    65 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Labellerr is a computer vision workflow automation platform. It helps ML teams to manage their AI development lifecycle much more efficiently. It helps teams to collaboratively work on data labeling

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 57% Small-Business
  • 38% Mid-Market
Labellerr 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
10
Annotation Efficiency
6
Collaboration
4
Customer Support
4
Efficiency
4
Cons
Latency Issues
3
Performance Issues
3
Difficult Setup
1
Lacking Features
1
Lack of Features
1
Labellerr features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.6
8.3
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.4
9.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2017
HQ Location
Wilmington, Delaware
Twitter
@Labellerr1
65 Twitter followers
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Peak's AI platform optimizes inventories, pricing and customer personalization for businesses of all sizes. The platform provides a broad feature set that enables technical and commercial teams to bu

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Enterprise
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Peak 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
    Customizability
    1
    Features
    1
    Inventory Management
    1
    Market Analysis
    1
    Cons
    Complex Automation
    1
    Complexity
    1
    Data Management Issues
    1
    Feature Limitations
    1
    Lacking Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Peak features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.6
    6.7
    Managed Service
    Average: 8.2
    6.7
    Natural Language Understanding
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Peak
    Year Founded
    2014
    HQ Location
    Manchester, Greater Manchester
    Twitter
    @Peak_HQ
    6,740 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    324 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Peak's AI platform optimizes inventories, pricing and customer personalization for businesses of all sizes. The platform provides a broad feature set that enables technical and commercial teams to bu

Users
No information available
Industries
No information available
Market Segment
  • 80% Enterprise
  • 20% Mid-Market
Peak 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
Customizability
1
Features
1
Inventory Management
1
Market Analysis
1
Cons
Complex Automation
1
Complexity
1
Data Management Issues
1
Feature Limitations
1
Lacking Features
1
Peak features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.6
6.7
Managed Service
Average: 8.2
6.7
Natural Language Understanding
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Peak
Year Founded
2014
HQ Location
Manchester, Greater Manchester
Twitter
@Peak_HQ
6,740 Twitter followers
LinkedIn® Page
www.linkedin.com
324 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Pyramid is a tier one, enterprise-grade Analytics Operating System that scales from single-user self-service analytics to thousand-user centralized deployments—covering simple-but-effective data visua

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 47% Enterprise
    • 35% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Pyramid features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.6
    10.0
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.4
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Amsterdam
    Twitter
    @PyramidAnalytic
    10,483 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    170 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Pyramid is a tier one, enterprise-grade Analytics Operating System that scales from single-user self-service analytics to thousand-user centralized deployments—covering simple-but-effective data visua

Users
No information available
Industries
No information available
Market Segment
  • 47% Enterprise
  • 35% Small-Business
Pyramid features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.6
10.0
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.4
9.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2008
HQ Location
Amsterdam
Twitter
@PyramidAnalytic
10,483 Twitter followers
LinkedIn® Page
www.linkedin.com
170 employees on LinkedIn®
(514)4.3 out of 5
View top Consulting Services for SAP HANA Cloud
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

    Users
    • Consultant
    • SAP Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 64% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP HANA Cloud 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
    Analytics
    9
    Cloud Computing
    8
    Cloud Services
    8
    Data Analytics
    8
    Cons
    Expensive
    10
    Complexity
    8
    Learning Curve
    7
    Performance Issues
    6
    Complex Implementation
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP HANA Cloud features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.6
    9.4
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.4
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,458 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learn

Users
  • Consultant
  • SAP Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 64% Enterprise
  • 23% Mid-Market
SAP HANA Cloud 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
Analytics
9
Cloud Computing
8
Cloud Services
8
Data Analytics
8
Cons
Expensive
10
Complexity
8
Learning Curve
7
Performance Issues
6
Complex Implementation
5
SAP HANA Cloud features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.6
9.4
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.4
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,458 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
(587)4.5 out of 5
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake 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
    132
    Features
    75
    Data Management
    63
    Efficiency Improvement
    61
    Database Management
    58
    Cons
    Expensive
    55
    Feature Limitations
    46
    Limited Features
    33
    Missing Features
    28
    Query Issues
    28
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    8.0
    Application
    Average: 8.6
    7.3
    Managed Service
    Average: 8.2
    7.3
    Natural Language Understanding
    Average: 8.4
    8.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    56,278 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,874 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 40% Mid-Market
Snowflake 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
132
Features
75
Data Management
63
Efficiency Improvement
61
Database Management
58
Cons
Expensive
55
Feature Limitations
46
Limited Features
33
Missing Features
28
Query Issues
28
Snowflake features and usability ratings that predict user satisfaction
8.0
Application
Average: 8.6
7.3
Managed Service
Average: 8.2
7.3
Natural Language Understanding
Average: 8.4
8.6
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
56,278 Twitter followers
LinkedIn® Page
www.linkedin.com
8,874 employees on LinkedIn®
Entry Level Price:350 monthly
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Analyze data, build data models, and automate workflows with the power of AI, all without spending a second on setup.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datagran features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.6
    8.3
    Managed Service
    Average: 8.2
    6.7
    Natural Language Understanding
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    New York, NY
    Twitter
    @DataGran
    3,008 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Analyze data, build data models, and automate workflows with the power of AI, all without spending a second on setup.

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
Datagran features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.6
8.3
Managed Service
Average: 8.2
6.7
Natural Language Understanding
Average: 8.4
0.0
No information available
Seller Details
Year Founded
2017
HQ Location
New York, NY
Twitter
@DataGran
3,008 Twitter followers
LinkedIn® Page
www.linkedin.com
19 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Edge Impulse streamlines the creation of AI & machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Edge Impulse’s technology empo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Small-Business
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Edge Impulse 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
    Capabilities
    2
    Ease of Use
    2
    Features
    1
    Flexibility
    1
    Machine Learning
    1
    Cons
    Lack of Guidance
    1
    Lack of Tools
    1
    Limited Customization
    1
    Missing Features
    1
    Model Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Edge Impulse features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    San Jose, US
    Twitter
    @edgeimpulse
    20,963 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    107 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Edge Impulse streamlines the creation of AI & machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered. Edge Impulse’s technology empo

Users
No information available
Industries
No information available
Market Segment
  • 64% Small-Business
  • 36% Enterprise
Edge Impulse 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
Capabilities
2
Ease of Use
2
Features
1
Flexibility
1
Machine Learning
1
Cons
Lack of Guidance
1
Lack of Tools
1
Limited Customization
1
Missing Features
1
Model Limitations
1
Edge Impulse features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
10.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
San Jose, US
Twitter
@edgeimpulse
20,963 Twitter followers
LinkedIn® Page
www.linkedin.com
107 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • H2O Driverless AI 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
    Coding Ease
    1
    Ease of Use
    1
    Machine Learning
    1
    Cons
    Inadequate Tools
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • H2O Driverless AI features and usability ratings that predict user satisfaction
    6.7
    Application
    Average: 8.6
    6.7
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    H2O.ai
    Year Founded
    2012
    HQ Location
    Mountain View, CA
    Twitter
    @h2oai
    25,357 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    365 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 25% Mid-Market
H2O Driverless AI 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
Coding Ease
1
Ease of Use
1
Machine Learning
1
Cons
Inadequate Tools
1
Limited Features
1
H2O Driverless AI features and usability ratings that predict user satisfaction
6.7
Application
Average: 8.6
6.7
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.4
0.0
No information available
Seller Details
Seller
H2O.ai
Year Founded
2012
HQ Location
Mountain View, CA
Twitter
@h2oai
25,357 Twitter followers
LinkedIn® Page
www.linkedin.com
365 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.

    JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end ma

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • JADBio AutoML features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.6
    7.5
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.4
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    GnosisDA
    Year Founded
    2013
    HQ Location
    Los Angeles, California
    Twitter
    @WeAreJADBio
    347 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end ma

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
JADBio AutoML features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.6
7.5
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.4
10.0
Ease of Admin
Average: 8.5
Seller Details
Seller
GnosisDA
Year Founded
2013
HQ Location
Los Angeles, California
Twitter
@WeAreJADBio
347 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Polyture features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Polyture
    HQ Location
    Santa Clara, CA
    Twitter
    @PolytureData
    26 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Polyture combines all the major elements of the modern data stack into one application that is intuitive and free to use. The platform consists of four modules; Warehousing, Dataflows, Automated Machi

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Polyture features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Polyture
HQ Location
Santa Clara, CA
Twitter
@PolytureData
26 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®