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Best Data Science and Machine Learning Platforms - Page 4

Bijou Barry
BB
Researched and written by Bijou Barry

Data science and machine learning (DSML) platforms provide tools to build, deploy, and monitor machine learning algorithms by combining data with intelligent, decision-making models to support business solutions. These platforms may offer prebuilt algorithms and visual workflows for nontechnical users or require more advanced development skills for complex model creation.

Core Capabilities of Data Science and Machine Learning (DSML) Software

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

  • Present a way for developers to connect data to algorithms so they can learn and adapt
  • Allow users to create machine learning algorithms and/or offer prebuilt algorithms for novice users
  • Provide a platform for deploying AI at scale

How DSML Software Differs from Other Tools

DSML platforms differ from traditional platform-as-a-service (PaaS) offerings by providing machine learning–specific functionality, such as prebuilt algorithms, model training workflows, and automated features that reduce the need for extensive data science expertise.

Insights from G2 Reviews on DSML Software

According to G2 review data, users highlight the value of streamlined model development, ease of deployment, and options that support both nontechnical and advanced practitioners through visual interfaces or coding-based workflows.

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Featured Data Science and Machine Learning Platforms At A Glance

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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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709 Listings in Data Science and Machine Learning Platforms Available
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle.

    Users
    No information available
    Industries
    • Computer Software
    • Hospital & Health Care
    Market Segment
    • 51% Small-Business
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Encord 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
    Annotation Efficiency
    11
    Annotation Tools
    11
    Ease of Use
    10
    Image Segmentation
    6
    Team Collaboration
    6
    Cons
    Missing Features
    6
    Lacking Features
    4
    Difficult Navigation
    3
    Lagging Issues
    3
    Latency Issues
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Encord features and usability ratings that predict user satisfaction
    9.7
    Application
    Average: 8.5
    10.0
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.3
    8.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Encord
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @encord_team
    683 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    144 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle.

Users
No information available
Industries
  • Computer Software
  • Hospital & Health Care
Market Segment
  • 51% Small-Business
  • 40% Mid-Market
Encord 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
Annotation Efficiency
11
Annotation Tools
11
Ease of Use
10
Image Segmentation
6
Team Collaboration
6
Cons
Missing Features
6
Lacking Features
4
Difficult Navigation
3
Lagging Issues
3
Latency Issues
3
Encord features and usability ratings that predict user satisfaction
9.7
Application
Average: 8.5
10.0
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.3
8.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Encord
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@encord_team
683 Twitter followers
LinkedIn® Page
www.linkedin.com
144 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hy

    Users
    No information available
    Industries
    • Market Research
    • Marketing and Advertising
    Market Segment
    • 44% Mid-Market
    • 36% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Red Hat OpenShift Data Science features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.8
    Managed Service
    Average: 8.2
    8.6
    Natural Language Understanding
    Average: 8.3
    6.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Red Hat
    Year Founded
    1993
    HQ Location
    Raleigh, NC
    Twitter
    @RedHat
    298,137 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19,575 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hy

Users
No information available
Industries
  • Market Research
  • Marketing and Advertising
Market Segment
  • 44% Mid-Market
  • 36% Enterprise
Red Hat OpenShift Data Science features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.8
Managed Service
Average: 8.2
8.6
Natural Language Understanding
Average: 8.3
6.7
Ease of Admin
Average: 8.5
Seller Details
Seller
Red Hat
Year Founded
1993
HQ Location
Raleigh, NC
Twitter
@RedHat
298,137 Twitter followers
LinkedIn® Page
www.linkedin.com
19,575 employees on LinkedIn®
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(26)4.4 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by deliver

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 58% Small-Business
    • 31% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataRobot features and usability ratings that predict user satisfaction
    5.0
    Application
    Average: 8.5
    1.7
    Managed Service
    Average: 8.2
    0.0
    Natural Language Understanding
    Average: 8.3
    7.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataRobot
    Year Founded
    2012
    HQ Location
    Boston, Massachusetts
    Twitter
    @DataRobot
    19,293 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    851 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by deliver

Users
No information available
Industries
  • Computer Software
Market Segment
  • 58% Small-Business
  • 31% Enterprise
DataRobot features and usability ratings that predict user satisfaction
5.0
Application
Average: 8.5
1.7
Managed Service
Average: 8.2
0.0
Natural Language Understanding
Average: 8.3
7.4
Ease of Admin
Average: 8.5
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,293 Twitter followers
LinkedIn® Page
www.linkedin.com
851 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 62% Small-Business
    • 26% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NVIDIA CUDA GL 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
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,436,482 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    46,062 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the NVIDIA GPUs. These images extend the CUDA images to

Users
No information available
Industries
  • Computer Software
Market Segment
  • 62% Small-Business
  • 26% Enterprise
NVIDIA CUDA GL 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
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,436,482 Twitter followers
LinkedIn® Page
www.linkedin.com
46,062 employees on LinkedIn®
Ownership
NVDA
(24)4.5 out of 5
View top Consulting Services for H2O
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 54% Small-Business
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • H2O features and usability ratings that predict user satisfaction
    7.0
    Application
    Average: 8.5
    6.9
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    H2O.ai
    Year Founded
    2012
    HQ Location
    Mountain View, CA
    Twitter
    @h2oai
    25,311 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    335 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
No information available
Market Segment
  • 54% Small-Business
  • 29% Enterprise
H2O features and usability ratings that predict user satisfaction
7.0
Application
Average: 8.5
6.9
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
H2O.ai
Year Founded
2012
HQ Location
Mountain View, CA
Twitter
@h2oai
25,311 Twitter followers
LinkedIn® Page
www.linkedin.com
335 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi

    Users
    • Student
    • Manager
    Industries
    • Oil & Energy
    • Information Technology and Services
    Market Segment
    • 52% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Spotfire Analytics 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 Visualization
    15
    Ease of Use
    15
    Insights
    11
    Easy Integrations
    10
    Features
    10
    Cons
    Learning Curve
    9
    Learning Difficulty
    7
    Expensive
    5
    Steep Learning Curve
    4
    Complexity
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spotfire Analytics features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.3
    Natural Language Understanding
    Average: 8.3
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Spotfire
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    103 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi

Users
  • Student
  • Manager
Industries
  • Oil & Energy
  • Information Technology and Services
Market Segment
  • 52% Enterprise
  • 26% Mid-Market
Spotfire Analytics 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 Visualization
15
Ease of Use
15
Insights
11
Easy Integrations
10
Features
10
Cons
Learning Curve
9
Learning Difficulty
7
Expensive
5
Steep Learning Curve
4
Complexity
3
Spotfire Analytics features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.3
Natural Language Understanding
Average: 8.3
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Spotfire
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
103 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.

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 61% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Clarifai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    13
    Model Variety
    11
    AI Technology
    9
    Ease of Use
    9
    User Interface
    9
    Cons
    Expensive
    8
    Complexity
    4
    Poor UI Design
    4
    UX Improvement
    4
    Difficult Learning
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Clarifai features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.1
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.3
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Clarifai
    Year Founded
    2013
    HQ Location
    Wilmington, Delaware
    Twitter
    @clarifai
    10,795 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    93 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 61% Small-Business
  • 27% Mid-Market
Clarifai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
13
Model Variety
11
AI Technology
9
Ease of Use
9
User Interface
9
Cons
Expensive
8
Complexity
4
Poor UI Design
4
UX Improvement
4
Difficult Learning
3
Clarifai features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.1
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.3
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Clarifai
Year Founded
2013
HQ Location
Wilmington, Delaware
Twitter
@clarifai
10,795 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Automaton AI is an AI software company that provides platforms for Computer Vision & ML Scientists to rapidly curate and experiment with their datasets in order to build higher performing ML &

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 36% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Automaton AI 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
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Pune, IN
    Twitter
    @automatonai
    14 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    50 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Automaton AI is an AI software company that provides platforms for Computer Vision & ML Scientists to rapidly curate and experiment with their datasets in order to build higher performing ML &

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 36% Small-Business
Automaton AI 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
10.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
Pune, IN
Twitter
@automatonai
14 Twitter followers
LinkedIn® Page
www.linkedin.com
50 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 59% Small-Business
    • 24% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deep Cognition features and usability ratings that predict user satisfaction
    7.5
    Application
    Average: 8.5
    6.7
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Dallas, Texas
    Twitter
    @DeepCogLabs
    14 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    60 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
No information available
Market Segment
  • 59% Small-Business
  • 24% Mid-Market
Deep Cognition features and usability ratings that predict user satisfaction
7.5
Application
Average: 8.5
6.7
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2017
HQ Location
Dallas, Texas
Twitter
@DeepCogLabs
14 Twitter followers
LinkedIn® Page
www.linkedin.com
60 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.

    KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work wi

    Users
    No information available
    Industries
    • Information Technology and Services
    • Higher Education
    Market Segment
    • 49% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • KNIME Software Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Coding Ease
    4
    Ease of Learning
    4
    Learning
    4
    Data Visualization
    3
    Cons
    Learning Difficulty
    3
    Memory Usage
    3
    Storage Limitations
    3
    Difficulty
    2
    Limited Storage
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • KNIME Software features and usability ratings that predict user satisfaction
    8.5
    Application
    Average: 8.5
    7.6
    Managed Service
    Average: 8.2
    7.9
    Natural Language Understanding
    Average: 8.3
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    KNIME
    Year Founded
    2008
    HQ Location
    Zurich, Switzerland
    Twitter
    @knime
    8,039 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    248 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work wi

Users
No information available
Industries
  • Information Technology and Services
  • Higher Education
Market Segment
  • 49% Enterprise
  • 36% Mid-Market
KNIME Software Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Coding Ease
4
Ease of Learning
4
Learning
4
Data Visualization
3
Cons
Learning Difficulty
3
Memory Usage
3
Storage Limitations
3
Difficulty
2
Limited Storage
2
KNIME Software features and usability ratings that predict user satisfaction
8.5
Application
Average: 8.5
7.6
Managed Service
Average: 8.2
7.9
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
KNIME
Year Founded
2008
HQ Location
Zurich, Switzerland
Twitter
@knime
8,039 Twitter followers
LinkedIn® Page
www.linkedin.com
248 employees on LinkedIn®
Entry Level Price:30 day free trial
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 44% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qubole features and usability ratings that predict user satisfaction
    8.1
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.3
    Natural Language Understanding
    Average: 8.3
    7.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qubole
    Year Founded
    2011
    HQ Location
    Santa Clara, CA
    Twitter
    @qubole
    9,502 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 44% Mid-Market
Qubole features and usability ratings that predict user satisfaction
8.1
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.3
Natural Language Understanding
Average: 8.3
7.6
Ease of Admin
Average: 8.5
Seller Details
Seller
Qubole
Year Founded
2011
HQ Location
Santa Clara, CA
Twitter
@qubole
9,502 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Akkio is the AI platform that empowers media companies to lead the market with AI. By partnering with cutting-edge AI agents, media teams streamline the entire campaign lifecycle, delivering tailored

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Small-Business
    • 14% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Akkio 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
    Machine Learning
    1
    Cons
    Insufficient Learning Resources
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Akkio features and usability ratings that predict user satisfaction
    9.3
    Application
    Average: 8.5
    9.0
    Managed Service
    Average: 8.2
    8.8
    Natural Language Understanding
    Average: 8.3
    9.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Cambridge, US
    Twitter
    @AkkioHQ
    5,428 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Akkio is the AI platform that empowers media companies to lead the market with AI. By partnering with cutting-edge AI agents, media teams streamline the entire campaign lifecycle, delivering tailored

Users
No information available
Industries
No information available
Market Segment
  • 64% Small-Business
  • 14% Mid-Market
Akkio 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
Machine Learning
1
Cons
Insufficient Learning Resources
1
Akkio features and usability ratings that predict user satisfaction
9.3
Application
Average: 8.5
9.0
Managed Service
Average: 8.2
8.8
Natural Language Understanding
Average: 8.3
9.4
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
Cambridge, US
Twitter
@AkkioHQ
5,428 Twitter followers
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Beijing ZetYun Technology Co., Ltd. (DataCanvas) was founded in 2013, focusing on the continuous development and construction of automatic data science platform, focusing on providing a complete set o

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 30% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataCanvas features and usability ratings that predict user satisfaction
    9.4
    Application
    Average: 8.5
    8.9
    Managed Service
    Average: 8.2
    8.9
    Natural Language Understanding
    Average: 8.3
    10.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Beijing ZetYun Technology Co., Ltd. (DataCanvas) was founded in 2013, focusing on the continuous development and construction of automatic data science platform, focusing on providing a complete set o

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 30% Mid-Market
DataCanvas features and usability ratings that predict user satisfaction
9.4
Application
Average: 8.5
8.9
Managed Service
Average: 8.2
8.9
Natural Language Understanding
Average: 8.3
10.0
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2014
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
2 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.

    Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

    Users
    No information available
    Industries
    • Telecommunications
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Ilum is a data platform that functions as a data warehouse and a data science platform with data ops capabilities, operating seamlessly both on-premise and in the cloud.
    • Users like the flexibility of Ilum, its user-friendly interface, quick setup process, excellent customer support, and its ability to integrate well with other tools, making daily operations easier and more organized.
    • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and that it requires some basic knowledge of K8S to start with, which can be challenging for some users.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ILUM 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
    17
    Features
    17
    Integrations
    17
    Setup Ease
    16
    Easy Integrations
    15
    Cons
    Complex Setup
    9
    Difficult Setup
    9
    Learning Curve
    9
    UX Improvement
    8
    Complexity
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ILUM features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    10.0
    Natural Language Understanding
    Average: 8.3
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ilum
    Company Website
    Year Founded
    2019
    HQ Location
    Santa Fe, US
    Twitter
    @IlumCloud
    18 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

Users
No information available
Industries
  • Telecommunications
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Ilum is a data platform that functions as a data warehouse and a data science platform with data ops capabilities, operating seamlessly both on-premise and in the cloud.
  • Users like the flexibility of Ilum, its user-friendly interface, quick setup process, excellent customer support, and its ability to integrate well with other tools, making daily operations easier and more organized.
  • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and that it requires some basic knowledge of K8S to start with, which can be challenging for some users.
ILUM 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
17
Features
17
Integrations
17
Setup Ease
16
Easy Integrations
15
Cons
Complex Setup
9
Difficult Setup
9
Learning Curve
9
UX Improvement
8
Complexity
7
ILUM features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
10.0
Natural Language Understanding
Average: 8.3
9.2
Ease of Admin
Average: 8.5
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
18 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
(574)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
    • 62% Enterprise
    • 25% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAP HANA Cloud is a cloud-based data processing and analytics platform that supports real-time decision making and predictive power.
    • Reviewers like its speed and responsiveness in handling extensive datasets, its ability to manage both transactional and analytical tasks in a single location, and its seamless integration with other SAP tools.
    • Users mentioned that SAP HANA Cloud can be expensive, particularly when dealing with large data quantities, and it has a steep learning curve, especially for teams unfamiliar with HANA-specific concepts.
  • 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
    43
    Easy Integrations
    32
    Integrations
    31
    Speed
    28
    Scalability
    26
    Cons
    Expensive
    27
    Complexity
    26
    Learning Curve
    26
    Difficult Learning
    22
    Steep Learning Curve
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP HANA Cloud features and usability ratings that predict user satisfaction
    10.0
    Application
    Average: 8.5
    9.4
    Managed Service
    Average: 8.2
    10.0
    Natural Language Understanding
    Average: 8.3
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,317 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    138,451 employees on LinkedIn®
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
  • 62% Enterprise
  • 25% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAP HANA Cloud is a cloud-based data processing and analytics platform that supports real-time decision making and predictive power.
  • Reviewers like its speed and responsiveness in handling extensive datasets, its ability to manage both transactional and analytical tasks in a single location, and its seamless integration with other SAP tools.
  • Users mentioned that SAP HANA Cloud can be expensive, particularly when dealing with large data quantities, and it has a steep learning curve, especially for teams unfamiliar with HANA-specific concepts.
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
43
Easy Integrations
32
Integrations
31
Speed
28
Scalability
26
Cons
Expensive
27
Complexity
26
Learning Curve
26
Difficult Learning
22
Steep Learning Curve
17
SAP HANA Cloud features and usability ratings that predict user satisfaction
10.0
Application
Average: 8.5
9.4
Managed Service
Average: 8.2
10.0
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,317 Twitter followers
LinkedIn® Page
www.linkedin.com
138,451 employees on LinkedIn®