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

Leader:
Vertex AI
Vertex AI
Highest Performer:
Hex
Hex
Easiest to Use:
Databricks
Databricks
Top Trending:
Vertex AI
Vertex AI
Show LessShow More
Highest Performer:
Hex
Hex
Easiest to Use:
Databricks
Databricks
Top Trending:
Vertex AI
Vertex AI

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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764 Listings in Data Science and Machine Learning Platforms Available
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    G2 Score
Vertex AI
(652)4.3 out of 5
9th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
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
    • 41% Small-Business
    • 31% 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
    162
    Model Variety
    114
    Features
    109
    Machine Learning
    104
    Easy Integrations
    84
    Cons
    Expensive
    75
    Learning Curve
    63
    Complexity
    62
    Complexity Issues
    58
    Difficult Learning
    47
    View All Pros and Cons
  • 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
    31,775,247 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
  • 41% Small-Business
  • 31% 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
162
Model Variety
114
Features
109
Machine Learning
104
Easy Integrations
84
Cons
Expensive
75
Learning Curve
63
Complexity
62
Complexity Issues
58
Difficult Learning
47
View All Pros and Cons
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
31,775,247 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Databricks
(664)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
  • 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 data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
    • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
    • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Databricks 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
    288
    Ease of Use
    278
    Integrations
    189
    Collaboration
    150
    Data Management
    150
    Cons
    Learning Curve
    112
    Expensive
    97
    Steep Learning Curve
    96
    Missing Features
    69
    Complexity
    64
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks 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
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    88,223 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 data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
  • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
  • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
Databricks 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
288
Ease of Use
278
Integrations
189
Collaboration
150
Data Management
150
Cons
Learning Curve
112
Expensive
97
Steep Learning Curve
96
Missing Features
69
Complexity
64
View All Pros and Cons
Databricks 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
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
88,223 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
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SAS Viya
(728)4.3 out of 5
8th Easiest To Use in Data Science and Machine Learning Platforms software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and e

    Users
    • Student
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Computer Software
    Market Segment
    • 33% Enterprise
    • 32% 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.
    • SAS Viya is a cloud-native platform that provides detailed keyword and sentiment analysis, and allows users to customize categories for analysis.
    • Reviewers appreciate SAS Viya's scalability, seamless integration of data preparation, advanced analytics, and machine learning within a single platform, and its user-friendly UI combined with powerful statistical capabilities.
    • Users mentioned that SAS Viya has a steep learning curve for new users, especially when transitioning from open-source ecosystems like Python, and its cost structure could be improved.
  • 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
    316
    Features
    218
    Analytics
    196
    Data Analysis
    166
    User Interface
    147
    Cons
    Learning Difficulty
    151
    Learning Curve
    144
    Complexity
    143
    Difficult Learning
    117
    Expensive
    108
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • SAS Viya features and usability ratings that predict user satisfaction
    7.8
    Application
    Average: 8.5
    7.9
    Managed Service
    Average: 8.2
    7.6
    Natural Language Understanding
    Average: 8.3
    7.6
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    SAS Institute Inc.
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,064 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,238 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and e

Users
  • Student
  • Biostatistician
Industries
  • Pharmaceuticals
  • Computer Software
Market Segment
  • 33% Enterprise
  • 32% 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.
  • SAS Viya is a cloud-native platform that provides detailed keyword and sentiment analysis, and allows users to customize categories for analysis.
  • Reviewers appreciate SAS Viya's scalability, seamless integration of data preparation, advanced analytics, and machine learning within a single platform, and its user-friendly UI combined with powerful statistical capabilities.
  • Users mentioned that SAS Viya has a steep learning curve for new users, especially when transitioning from open-source ecosystems like Python, and its cost structure could be improved.
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
316
Features
218
Analytics
196
Data Analysis
166
User Interface
147
Cons
Learning Difficulty
151
Learning Curve
144
Complexity
143
Difficult Learning
117
Expensive
108
View All Pros and Cons
SAS Viya features and usability ratings that predict user satisfaction
7.8
Application
Average: 8.5
7.9
Managed Service
Average: 8.2
7.6
Natural Language Understanding
Average: 8.3
7.6
Ease of Admin
Average: 8.5
Seller Details
Seller
SAS Institute Inc.
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,064 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
Anaconda Platform
(243)4.5 out of 5
11th Easiest To Use in Data Science and Machine Learning Platforms software
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
    • Software Engineer
    • Student
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Small-Business
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Anaconda 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
    74
    Setup Ease
    39
    Efficiency
    27
    Intuitive
    25
    Coding Ease
    23
    Cons
    Data Management Issues
    11
    Slow Performance
    11
    Lacking Features
    10
    Limited Features
    9
    Limited Storage
    9
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Anaconda 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
    Seller
    Anaconda, Inc.
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    83,980 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    573 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
  • Software Engineer
  • Student
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Small-Business
  • 25% Enterprise
Anaconda 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
74
Setup Ease
39
Efficiency
27
Intuitive
25
Coding Ease
23
Cons
Data Management Issues
11
Slow Performance
11
Lacking Features
10
Limited Features
9
Limited Storage
9
View All Pros and Cons
Anaconda 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
Seller
Anaconda, Inc.
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
83,980 Twitter followers
LinkedIn® Page
www.linkedin.com
573 employees on LinkedIn®
Deepnote
(378)4.5 out of 5
2nd Easiest To Use in Data Science and Machine Learning Platforms software
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unli

    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 tool for data science and analytics teams, allowing multiple users to work on a single document simultaneously and integrating AI to automate syntax hygiene and documentation.
    • Reviewers like Deepnote's transformative impact on collaboration and sharing of analysis, research, and experiments, its easy and intuitive use, its clean and well-designed UX, and its AI-generated scripts that facilitate data analysis and visualization.
    • Reviewers mentioned issues with Deepnote's integration across different coding languages, the AI agent creating additional cells leading to a jarring experience, occasional slow processing of larger notebooks, and limitations in the AI assistant's project awareness and autonomous operation.
  • 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
    170
    Collaboration
    120
    Easy Integrations
    76
    Team Collaboration
    76
    Data Management
    67
    Cons
    Slow Performance
    61
    Limited Features
    32
    Data Management Issues
    29
    Missing Features
    26
    Lacking Features
    25
    View All Pros and Cons
  • 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
    5,249 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.

Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unli

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 tool for data science and analytics teams, allowing multiple users to work on a single document simultaneously and integrating AI to automate syntax hygiene and documentation.
  • Reviewers like Deepnote's transformative impact on collaboration and sharing of analysis, research, and experiments, its easy and intuitive use, its clean and well-designed UX, and its AI-generated scripts that facilitate data analysis and visualization.
  • Reviewers mentioned issues with Deepnote's integration across different coding languages, the AI agent creating additional cells leading to a jarring experience, occasional slow processing of larger notebooks, and limitations in the AI assistant's project awareness and autonomous operation.
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
170
Collaboration
120
Easy Integrations
76
Team Collaboration
76
Data Management
67
Cons
Slow Performance
61
Limited Features
32
Data Management Issues
29
Missing Features
26
Lacking Features
25
View All Pros and Cons
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
5,249 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
Dataiku
(189)4.4 out of 5
5th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Dataiku
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 Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimen

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 59% Enterprise
    • 23% 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 data science and machine learning platform that centralizes and organizes data, supports collaboration, and manages the full data lifecycle from preparation to deployment.
    • Users like Dataiku's user-friendly interface, strong collaboration features, and its ability to streamline building, training, and deploying AI models at scale, making generative AI projects faster and more reliable.
    • Reviewers noted that Dataiku can be demanding on system resources, especially when working with large datasets, and its extensive features can be overwhelming for new users, leading to a steeper learning curve.
  • 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
    82
    Features
    82
    Usability
    46
    Easy Integrations
    43
    Productivity Improvement
    42
    Cons
    Learning Curve
    45
    Steep Learning Curve
    26
    Slow Performance
    24
    Difficult Learning
    23
    Expensive
    22
    View All Pros and Cons
  • 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
    22,954 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,609 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimen

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 59% Enterprise
  • 23% 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 data science and machine learning platform that centralizes and organizes data, supports collaboration, and manages the full data lifecycle from preparation to deployment.
  • Users like Dataiku's user-friendly interface, strong collaboration features, and its ability to streamline building, training, and deploying AI models at scale, making generative AI projects faster and more reliable.
  • Reviewers noted that Dataiku can be demanding on system resources, especially when working with large datasets, and its extensive features can be overwhelming for new users, leading to a steeper learning curve.
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
82
Features
82
Usability
46
Easy Integrations
43
Productivity Improvement
42
Cons
Learning Curve
45
Steep Learning Curve
26
Slow Performance
24
Difficult Learning
23
Expensive
22
View All Pros and Cons
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
22,954 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
IBM watsonx.data
(149)4.4 out of 5
Optimized for quick response
12th Easiest To Use in Data Science and Machine Learning Platforms software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consis

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM watsonx.data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    67
    Features
    47
    Data Management
    41
    Integrations
    33
    Analytics
    31
    Cons
    Learning Curve
    38
    Complexity
    25
    Expensive
    20
    Difficult Setup
    17
    Difficulty
    17
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM watsonx.data features and usability ratings that predict user satisfaction
    5.8
    Application
    Average: 8.5
    7.2
    Managed Service
    Average: 8.2
    7.5
    Natural Language Understanding
    Average: 8.3
    7.8
    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
    708,744 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.

IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consis

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 34% Small-Business
  • 34% Enterprise
IBM watsonx.data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
67
Features
47
Data Management
41
Integrations
33
Analytics
31
Cons
Learning Curve
38
Complexity
25
Expensive
20
Difficult Setup
17
Difficulty
17
View All Pros and Cons
IBM watsonx.data features and usability ratings that predict user satisfaction
5.8
Application
Average: 8.5
7.2
Managed Service
Average: 8.2
7.5
Natural Language Understanding
Average: 8.3
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,744 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Hex
(366)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Hex
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hex is the world’s best AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now &g

    Users
    • Data Analyst
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 54% 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 integrates SQL, Python, and AI, allowing users to query databases, create dashboards, and perform complex data manipulations.
    • Reviewers appreciate Hex's user-friendly interface, its ability to seamlessly integrate with various data sources, and the AI features that assist in writing queries and speeding up work processes.
    • Users mentioned issues with Hex's performance, such as slow speed, occasional crashes, and updates that disrupt existing setups, as well as limitations in chart options and difficulties in notebook organization.
  • 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
    130
    SQL Queries
    81
    Data Management
    79
    SQL Querying
    74
    Data Analysis
    62
    Cons
    Limited Features
    45
    Missing Features
    41
    Lacking Features
    38
    Limited Visualization
    30
    Data Management Issues
    29
    View All Pros and Cons
  • 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
    6,664 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    222 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hex is the world’s best AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now &g

Users
  • Data Analyst
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 54% 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 integrates SQL, Python, and AI, allowing users to query databases, create dashboards, and perform complex data manipulations.
  • Reviewers appreciate Hex's user-friendly interface, its ability to seamlessly integrate with various data sources, and the AI features that assist in writing queries and speeding up work processes.
  • Users mentioned issues with Hex's performance, such as slow speed, occasional crashes, and updates that disrupt existing setups, as well as limitations in chart options and difficulties in notebook organization.
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
130
SQL Queries
81
Data Management
79
SQL Querying
74
Data Analysis
62
Cons
Limited Features
45
Missing Features
41
Lacking Features
38
Limited Visualization
30
Data Management Issues
29
View All Pros and Cons
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
6,664 Twitter followers
LinkedIn® Page
www.linkedin.com
222 employees on LinkedIn®
IBM watsonx.ai
(138)4.4 out of 5
Optimized for quick response
15th Easiest To Use in Data Science and Machine Learning Platforms software
  • Overview
    Expand/Collapse Overview
    • 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
    • 31% 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
    76
    Model Variety
    31
    Features
    29
    AI Integration
    28
    AI Capabilities
    23
    Cons
    Difficult Learning
    21
    Complexity
    20
    Learning Curve
    19
    Expensive
    17
    Improvement Needed
    16
    View All Pros and Cons
  • 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
    708,744 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
  • 31% 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
76
Model Variety
31
Features
29
AI Integration
28
AI Capabilities
23
Cons
Difficult Learning
21
Complexity
20
Learning Curve
19
Expensive
17
Improvement Needed
16
View All Pros and Cons
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
708,744 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Deep Learning VM Image
(50)4.4 out of 5
  • 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
    View All Pros and Cons
  • 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
    31,775,247 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
View All Pros and Cons
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
31,775,247 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
MATLAB
(765)4.5 out of 5
View top Consulting Services for MATLAB
  • Overview
    Expand/Collapse Overview
    • 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
    19
    Features
    16
    Data Visualization
    13
    Tools Variety
    10
    Simulation
    9
    Cons
    Expensive
    12
    Slow Performance
    10
    High System Requirements
    7
    Expensive Licensing
    4
    Lagging Performance
    4
    View All Pros and Cons
  • 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
    102,919 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
19
Features
16
Data Visualization
13
Tools Variety
10
Simulation
9
Cons
Expensive
12
Slow Performance
10
High System Requirements
7
Expensive Licensing
4
Lagging Performance
4
View All Pros and Cons
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
102,919 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
TensorFlow
(138)4.5 out of 5
4th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
  • Overview
    Expand/Collapse Overview
    • 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
    • 25% 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
    18
    Scalability
    14
    Cons
    Steep Learning Curve
    25
    Complexity
    8
    Difficult Learning
    8
    Error Handling
    6
    Slow Performance
    6
    View All Pros and Cons
  • 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
    Seller
    TensorFlow
    Year Founded
    2016
    HQ Location
    Centre Urbain Nord, TN
    Twitter
    @TensorFlow
    379,158 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
  • 25% 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
18
Scalability
14
Cons
Steep Learning Curve
25
Complexity
8
Difficult Learning
8
Error Handling
6
Slow Performance
6
View All Pros and Cons
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
Seller
TensorFlow
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
379,158 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
Snowflake
(685)4.6 out of 5
Optimized for quick response
View top Consulting Services for Snowflake
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
    • 44% 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
    89
    Scalability
    68
    Data Management
    67
    Features
    66
    Integrations
    61
    Cons
    Expensive
    53
    Cost
    36
    Cost Management
    32
    Learning Curve
    25
    Feature Limitations
    21
    View All Pros and Cons
  • 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
    Seller
    Snowflake, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    223 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,857 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
  • 44% 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
89
Scalability
68
Data Management
67
Features
66
Integrations
61
Cons
Expensive
53
Cost
36
Cost Management
32
Learning Curve
25
Feature Limitations
21
View All Pros and Cons
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
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
223 Twitter followers
LinkedIn® Page
www.linkedin.com
10,857 employees on LinkedIn®
Saturn Cloud
(320)4.8 out of 5
7th Easiest To Use in Data Science and Machine Learning Platforms software
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
    18
    GPU Performance
    13
    Computing Power
    10
    Setup Ease
    10
    Easy Integrations
    8
    Cons
    Expensive
    6
    Missing Features
    5
    Complexity Issues
    4
    Poor Documentation
    4
    Difficult Setup
    3
    View All Pros and Cons
  • 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
    Seller
    Saturn Cloud
    Year Founded
    2018
    HQ Location
    New York, US
    Twitter
    @saturn_cloud
    3,242 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41 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
18
GPU Performance
13
Computing Power
10
Setup Ease
10
Easy Integrations
8
Cons
Expensive
6
Missing Features
5
Complexity Issues
4
Poor Documentation
4
Difficult Setup
3
View All Pros and Cons
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
Seller
Saturn Cloud
Year Founded
2018
HQ Location
New York, US
Twitter
@saturn_cloud
3,242 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
Wipro Holmes
(10)3.8 out of 5
  • 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
    View All Pros and Cons
  • 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
    514,302 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
View All Pros and Cons
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
514,302 Twitter followers
LinkedIn® Page
www.linkedin.com
258,948 employees on LinkedIn®
Ownership
WIT
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Enterprise
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