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Best Data Science and Machine Learning Platforms

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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708 Listings in Data Science and Machine Learning Platforms Available
(634)4.3 out of 5
9th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
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Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, a

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 40% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Vertex 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
    Ease of Use
    180
    Model Variety
    133
    Machine Learning
    126
    Features
    125
    Integrations
    100
    Cons
    Expensive
    80
    Learning Curve
    56
    Complexity
    54
    Complexity Issues
    50
    Performance Issues
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Vertex AI features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,622,664 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, a

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 40% Small-Business
  • 32% Enterprise
Vertex 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
Ease of Use
180
Model Variety
133
Machine Learning
126
Features
125
Integrations
100
Cons
Expensive
80
Learning Curve
56
Complexity
54
Complexity Issues
50
Performance Issues
39
Vertex AI features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,622,664 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(658)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% 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.
    • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
    • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
    • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence 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
    Features
    277
    Ease of Use
    267
    Integrations
    184
    Collaboration
    148
    Easy Integrations
    144
    Cons
    Learning Curve
    106
    Expensive
    94
    Steep Learning Curve
    91
    Missing Features
    63
    Complexity
    61
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.4
    Natural Language Understanding
    Average: 8.3
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    85,635 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% 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.
  • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
  • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
  • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become expensive for continuous workloads.
Databricks Data Intelligence 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
Features
277
Ease of Use
267
Integrations
184
Collaboration
148
Easy Integrations
144
Cons
Learning Curve
106
Expensive
94
Steep Learning Curve
91
Missing Features
63
Complexity
61
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.4
Natural Language Understanding
Average: 8.3
8.3
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
85,635 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®

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(244)4.5 out of 5
11th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Anaconda Platform is a unified enterprise AI development platform that helps data scientists, AI developers, and platform engineers build, secure, deploy, and observe AI workloads from development to

    Users
    • Student
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Small-Business
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anaconda 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
    69
    Setup Ease
    36
    Efficiency
    26
    Intuitive
    24
    Coding Ease
    23
    Cons
    Data Management Issues
    11
    Slow Performance
    11
    Lacking Features
    10
    Limited Storage
    9
    Slow Loading
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anaconda AI Platform features and usability ratings that predict user satisfaction
    8.9
    Application
    Average: 8.5
    8.6
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,121 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    577 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anaconda Platform is a unified enterprise AI development platform that helps data scientists, AI developers, and platform engineers build, secure, deploy, and observe AI workloads from development to

Users
  • Student
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Small-Business
  • 25% Enterprise
Anaconda 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
69
Setup Ease
36
Efficiency
26
Intuitive
24
Coding Ease
23
Cons
Data Management Issues
11
Slow Performance
11
Lacking Features
10
Limited Storage
9
Slow Loading
9
Anaconda AI Platform features and usability ratings that predict user satisfaction
8.9
Application
Average: 8.5
8.6
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,121 Twitter followers
LinkedIn® Page
www.linkedin.com
577 employees on LinkedIn®
(378)4.5 out of 5
2nd Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deepnote is an open-source, AI-first data science notebook built for teams. It is a drop-in replacement for Jupyter, designed to make data work collaborative, reproducible, and easy to share. Work

    Users
    • Student
    • Data Analyst
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 68% Small-Business
    • 24% 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.
    • Deepnote is a collaborative data science platform that integrates with AI tools and third-party services, allowing users to perform statistical analysis, generate graphs, and create dashboards.
    • Users like Deepnote's real-time editing, version control, easy cloud-based setup, and its ability to integrate with various data sources, making collaboration on data science and research projects effortless.
    • Users mentioned that Deepnote can be slow when handling large datasets, has limited offline access options, and its AI assistant sometimes struggles with multiple follow-up requests and understanding certain code blocks.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Deepnote 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
    156
    Collaboration
    115
    Team Collaboration
    72
    Easy Integrations
    69
    Data Management
    61
    Cons
    Slow Performance
    58
    Limited Features
    28
    Data Management Issues
    27
    Lagging Performance
    24
    Bugs
    23
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deepnote features and usability ratings that predict user satisfaction
    8.0
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.2
    Natural Language Understanding
    Average: 8.3
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Deepnote
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco , US
    Twitter
    @DeepnoteHQ
    5,263 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    29 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Deepnote is an open-source, AI-first data science notebook built for teams. It is a drop-in replacement for Jupyter, designed to make data work collaborative, reproducible, and easy to share. Work

Users
  • Student
  • Data Analyst
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 68% Small-Business
  • 24% 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.
  • Deepnote is a collaborative data science platform that integrates with AI tools and third-party services, allowing users to perform statistical analysis, generate graphs, and create dashboards.
  • Users like Deepnote's real-time editing, version control, easy cloud-based setup, and its ability to integrate with various data sources, making collaboration on data science and research projects effortless.
  • Users mentioned that Deepnote can be slow when handling large datasets, has limited offline access options, and its AI assistant sometimes struggles with multiple follow-up requests and understanding certain code blocks.
Deepnote 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
156
Collaboration
115
Team Collaboration
72
Easy Integrations
69
Data Management
61
Cons
Slow Performance
58
Limited Features
28
Data Management Issues
27
Lagging Performance
24
Bugs
23
Deepnote features and usability ratings that predict user satisfaction
8.0
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.2
Natural Language Understanding
Average: 8.3
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Deepnote
Company Website
Year Founded
2019
HQ Location
San Francisco , US
Twitter
@DeepnoteHQ
5,263 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®
(627)4.3 out of 5
10th Easiest To Use in Data Science and Machine Learning Platforms software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Student
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Small-Business
    • 32% 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.
    • SAS Viya is a cloud-based platform designed to streamline data for further analysis, integrate advanced analytics and AI across a unified platform, and process large datasets efficiently.
    • Reviewers frequently mention the platform's ability to build statistical models, run predictive analysis, automate workflows, and support multiple languages, all within a single environment.
    • Users experienced complexity in the initial setup, high licensing costs, and a steep learning curve for new users, particularly when transitioning from traditional SAS environments.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Viya 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
    286
    Features
    205
    Analytics
    179
    Data Analysis
    150
    User Interface
    135
    Cons
    Learning Difficulty
    135
    Learning Curve
    132
    Complexity
    130
    Difficult Learning
    105
    Expensive
    97
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    7.7
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.3
    7.5
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,147 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,202 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Student
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Small-Business
  • 32% 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.
  • SAS Viya is a cloud-based platform designed to streamline data for further analysis, integrate advanced analytics and AI across a unified platform, and process large datasets efficiently.
  • Reviewers frequently mention the platform's ability to build statistical models, run predictive analysis, automate workflows, and support multiple languages, all within a single environment.
  • Users experienced complexity in the initial setup, high licensing costs, and a steep learning curve for new users, particularly when transitioning from traditional SAS environments.
SAS Viya 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
286
Features
205
Analytics
179
Data Analysis
150
User Interface
135
Cons
Learning Difficulty
135
Learning Curve
132
Complexity
130
Difficult Learning
105
Expensive
97
SAS Viya features and usability ratings that predict user satisfaction
7.7
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.3
7.5
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,147 Twitter followers
LinkedIn® Page
www.linkedin.com
18,202 employees on LinkedIn®
(188)4.4 out of 5
5th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Dataiku
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 59% Enterprise
    • 22% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
    • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
    • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataiku 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
    81
    Features
    79
    Usability
    43
    Easy Integrations
    41
    Integrations
    40
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    19
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataiku features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.2
    Managed Service
    Average: 8.2
    7.7
    Natural Language Understanding
    Average: 8.3
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    22,980 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,411 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 59% Enterprise
  • 22% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
  • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
  • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
Dataiku 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
81
Features
79
Usability
43
Easy Integrations
41
Integrations
40
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
19
Dataiku features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.2
Managed Service
Average: 8.2
7.7
Natural Language Understanding
Average: 8.3
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,980 Twitter followers
LinkedIn® Page
www.linkedin.com
1,411 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-inst

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Deep Learning VM Image 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
    Setup Ease
    15
    Features
    14
    Easy Integrations
    11
    Easy Setup
    11
    Cons
    Expensive
    15
    Cost
    8
    Learning Difficulty
    7
    Difficult Learning
    6
    Dependency Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Deep Learning VM Image features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.4
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,604,653 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Deep Learning VM Images are pre-configured virtual machine images optimized for data science and machine learning tasks. These images come with essential machine learning frameworks and tools pre-inst

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Small-Business
  • 30% Mid-Market
Deep Learning VM Image 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
Setup Ease
15
Features
14
Easy Integrations
11
Easy Setup
11
Cons
Expensive
15
Cost
8
Learning Difficulty
7
Difficult Learning
6
Dependency Issues
5
Deep Learning VM Image features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.4
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,604,653 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(329)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
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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.

    Hex is a platform for collaborative analytics and data science. It combines code notebooks, data apps, and knowledge management, making it easy to use data and share the results. Hex brings togethe

    Users
    • Data Analyst
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Mid-Market
    • 22% Small-Business
    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.
    • Hex is a data analysis tool that combines SQL and Python, allowing users to create dashboards and perform complex data analysis tasks.
    • Reviewers appreciate Hex's intuitive interface, seamless integration of SQL and Python, and its AI assistant that aids in writing SQL queries and correcting code errors.
    • Users mentioned issues with Hex's limited dashboarding capabilities, occasional service disruptions, and challenges with handling large datasets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hex 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
    122
    Data Management
    76
    SQL Queries
    75
    SQL Querying
    68
    Data Analysis
    63
    Cons
    Limited Features
    40
    Missing Features
    34
    Lacking Features
    33
    Limited Visualization
    29
    Slow Performance
    26
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hex features and usability ratings that predict user satisfaction
    6.9
    Application
    Average: 8.5
    6.8
    Managed Service
    Average: 8.2
    5.1
    Natural Language Understanding
    Average: 8.3
    9.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Hex Tech
    Company Website
    Year Founded
    2019
    HQ Location
    San Francisco, US
    Twitter
    @_hex_tech
    6,565 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    202 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hex is a platform for collaborative analytics and data science. It combines code notebooks, data apps, and knowledge management, making it easy to use data and share the results. Hex brings togethe

Users
  • Data Analyst
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Mid-Market
  • 22% Small-Business
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.
  • Hex is a data analysis tool that combines SQL and Python, allowing users to create dashboards and perform complex data analysis tasks.
  • Reviewers appreciate Hex's intuitive interface, seamless integration of SQL and Python, and its AI assistant that aids in writing SQL queries and correcting code errors.
  • Users mentioned issues with Hex's limited dashboarding capabilities, occasional service disruptions, and challenges with handling large datasets.
Hex 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
122
Data Management
76
SQL Queries
75
SQL Querying
68
Data Analysis
63
Cons
Limited Features
40
Missing Features
34
Lacking Features
33
Limited Visualization
29
Slow Performance
26
Hex features and usability ratings that predict user satisfaction
6.9
Application
Average: 8.5
6.8
Managed Service
Average: 8.2
5.1
Natural Language Understanding
Average: 8.3
9.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Hex Tech
Company Website
Year Founded
2019
HQ Location
San Francisco, US
Twitter
@_hex_tech
6,565 Twitter followers
LinkedIn® Page
www.linkedin.com
202 employees on LinkedIn®
(136)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platfo

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TensorFlow 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
    Machine Learning
    23
    AI Integration
    19
    Ease of Use
    19
    Model Variety
    19
    Scalability
    14
    Cons
    Steep Learning Curve
    25
    Complexity
    8
    Difficult Learning
    8
    Error Handling
    6
    Slow Performance
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TensorFlow features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.4
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.3
    7.9
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Centre Urbain Nord, TN
    Twitter
    @TensorFlow
    380,161 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TensorFlow is an open-source machine learning library developed by the Google Brain Team, designed to facilitate the creation, training, and deployment of machine learning models across various platfo

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 26% Mid-Market
TensorFlow 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
Machine Learning
23
AI Integration
19
Ease of Use
19
Model Variety
19
Scalability
14
Cons
Steep Learning Curve
25
Complexity
8
Difficult Learning
8
Error Handling
6
Slow Performance
6
TensorFlow features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.4
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.3
7.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
380,161 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(764)4.5 out of 5
View top Consulting Services for MATLAB
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop envi

    Users
    • Student
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Research
    Market Segment
    • 42% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MATLAB 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
    16
    Features
    13
    Data Visualization
    10
    Simulation
    8
    Tools Variety
    8
    Cons
    Expensive
    8
    Slow Performance
    7
    High System Requirements
    6
    Lagging Performance
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MATLAB features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    102,247 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,768 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop envi

Users
  • Student
  • Graduate Research Assistant
Industries
  • Higher Education
  • Research
Market Segment
  • 42% Enterprise
  • 31% Small-Business
MATLAB 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
16
Features
13
Data Visualization
10
Simulation
8
Tools Variety
8
Cons
Expensive
8
Slow Performance
7
High System Requirements
6
Lagging Performance
4
Learning Curve
4
MATLAB features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
102,247 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
(133)4.4 out of 5
Optimized for quick response
14th Easiest To Use in Data Science and Machine Learning Platforms software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.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
    Ease of Use
    68
    Model Variety
    25
    AI Integration
    20
    Features
    20
    Easy Integrations
    19
    Cons
    Improvement Needed
    17
    Expensive
    16
    Complexity
    13
    Difficult Learning
    13
    UX Improvement
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.ai features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.5
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    8.7
    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
    708,824 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.

Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models and traditional machine learning into a powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Small-Business
  • 32% Enterprise
IBM watsonx.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
Ease of Use
68
Model Variety
25
AI Integration
20
Features
20
Easy Integrations
19
Cons
Improvement Needed
17
Expensive
16
Complexity
13
Difficult Learning
13
UX Improvement
12
IBM watsonx.ai features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.5
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,824 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(678)4.6 out of 5
Optimized for quick response
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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
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 42% 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
    93
    Features
    70
    Data Management
    67
    Scalability
    63
    Integrations
    61
    Cons
    Expensive
    53
    Cost
    33
    Cost Management
    29
    Learning Curve
    26
    Feature Limitations
    22
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.5
    9.0
    Managed Service
    Average: 8.2
    8.5
    Natural Language Understanding
    Average: 8.3
    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
    181 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 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
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 42% 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
93
Features
70
Data Management
67
Scalability
63
Integrations
61
Cons
Expensive
53
Cost
33
Cost Management
29
Learning Curve
26
Feature Limitations
22
Snowflake features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.5
9.0
Managed Service
Average: 8.2
8.5
Natural Language Understanding
Average: 8.3
8.6
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
181 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
(319)4.8 out of 5
6th Easiest To Use in Data Science and Machine Learning Platforms software
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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.

    Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage M

    Users
    • Data Scientist
    • Student
    Industries
    • Computer Software
    • Higher Education
    Market Segment
    • 82% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Saturn 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
    39
    Setup Ease
    25
    GPU Performance
    20
    Free Services
    15
    Computing Power
    13
    Cons
    Expensive
    8
    Missing Features
    8
    Limited Hours
    7
    Limited Storage
    5
    Complexity Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Saturn Cloud features and usability ratings that predict user satisfaction
    9.1
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.1
    Natural Language Understanding
    Average: 8.3
    9.2
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,249 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Saturn Cloud is a portable AI platform that installs securely in any cloud account. Access the best GPUs with no Kubernetes configuration or DevOps, enable AI/ML teams to develop, deploy, and manage M

Users
  • Data Scientist
  • Student
Industries
  • Computer Software
  • Higher Education
Market Segment
  • 82% Small-Business
  • 12% Mid-Market
Saturn 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
39
Setup Ease
25
GPU Performance
20
Free Services
15
Computing Power
13
Cons
Expensive
8
Missing Features
8
Limited Hours
7
Limited Storage
5
Complexity Issues
4
Saturn Cloud features and usability ratings that predict user satisfaction
9.1
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.1
Natural Language Understanding
Average: 8.3
9.2
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,249 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 33% Enterprise
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon SageMaker 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
    4
    AI Integration
    3
    Easy Integrations
    3
    Integrations
    3
    Machine Learning
    3
    Cons
    Expensive
    5
    Complexity
    2
    Complexity Issues
    2
    Difficult Setup
    2
    Learning Curve
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon SageMaker features and usability ratings that predict user satisfaction
    8.6
    Application
    Average: 8.5
    9.1
    Managed Service
    Average: 8.2
    9.2
    Natural Language Understanding
    Average: 8.3
    8.4
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,218,743 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools an

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 33% Enterprise
  • 31% Mid-Market
Amazon SageMaker 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
4
AI Integration
3
Easy Integrations
3
Integrations
3
Machine Learning
3
Cons
Expensive
5
Complexity
2
Complexity Issues
2
Difficult Setup
2
Learning Curve
2
Amazon SageMaker features and usability ratings that predict user satisfaction
8.6
Application
Average: 8.5
9.1
Managed Service
Average: 8.2
9.2
Natural Language Understanding
Average: 8.3
8.4
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,218,743 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Wipro HOLMES is an Artificial Intelligence Platform that provide services for the development of digital virtual agents, predictive systems, cognitive process automation, visual computing applications

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Enterprise
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Wipro Holmes 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
    Efficiency
    3
    AI Integration
    2
    Automation
    2
    Data Access
    2
    Time-saving
    2
    Cons
    Complex Interface
    1
    Limited Customization
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Wipro Holmes features and usability ratings that predict user satisfaction
    7.1
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.6
    Natural Language Understanding
    Average: 8.3
    6.1
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Wipro
    Year Founded
    1945
    HQ Location
    Bangalore
    Twitter
    @Wipro
    514,901 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    258,948 employees on LinkedIn®
    Ownership
    WIT
Product Description
How are these determined?Information
This description is provided by the seller.

Wipro HOLMES is an Artificial Intelligence Platform that provide services for the development of digital virtual agents, predictive systems, cognitive process automation, visual computing applications

Users
No information available
Industries
No information available
Market Segment
  • 40% Enterprise
  • 30% Mid-Market
Wipro Holmes 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
Efficiency
3
AI Integration
2
Automation
2
Data Access
2
Time-saving
2
Cons
Complex Interface
1
Limited Customization
1
Steep Learning Curve
1
Wipro Holmes features and usability ratings that predict user satisfaction
7.1
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.6
Natural Language Understanding
Average: 8.3
6.1
Ease of Admin
Average: 8.5
Seller Details
Seller
Wipro
Year Founded
1945
HQ Location
Bangalore
Twitter
@Wipro
514,901 Twitter followers
LinkedIn® Page
www.linkedin.com
258,948 employees on LinkedIn®
Ownership
WIT