Introducing G2.ai, the future of software buying.Try now

Best Enterprise Data Science and Machine Learning Platforms

Blue Bowen
BB
Researched and written by Blue Bowen

Products classified in the overall Data Science and Machine Learning Platforms category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Data Science and Machine Learning Platforms to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Data Science and Machine Learning Platforms category.

In addition to qualifying for inclusion in the Data Science and Machine Learning Platforms category, to qualify for inclusion in the Enterprise Business Data Science and Machine Learning Platforms category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

Show More
Show Less

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.

Coming Soon
Get Trending Data Science and Machine Learning Platforms Products in Your Inbox

A weekly snapshot of rising stars, new launches, and what everyone's buzzing about.

Sample Trending Products Newsletter
1 filter applied
Clear All

27 Listings in Enterprise Data Science and Machine Learning Platforms Available

(626)4.6 out of 5
Optimized for quick response
2nd 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 Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

    Users
    • Data Engineer
    • Data Scientist
    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 analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially 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
    265
    Ease of Use
    254
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    100
    Expensive
    86
    Steep Learning Curve
    86
    Missing Features
    62
    UX Improvement
    58
  • 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: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    83,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 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 Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

Users
  • Data Engineer
  • Data Scientist
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 analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially 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
265
Ease of Use
254
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
100
Expensive
86
Steep Learning Curve
86
Missing Features
62
UX Improvement
58
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: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
83,849 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®
(593)4.3 out of 5
9th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Vertex AI
Save to My Lists
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
    • 33% 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
    184
    Model Variety
    133
    Features
    128
    Machine Learning
    126
    Integrations
    99
    Cons
    Expensive
    82
    Complexity
    57
    Learning Curve
    57
    Complexity Issues
    52
    Difficult Learning
    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: 8.2
    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
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 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
  • 33% 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
184
Model Variety
133
Features
128
Machine Learning
126
Integrations
99
Cons
Expensive
82
Complexity
57
Learning Curve
57
Complexity Issues
52
Difficult Learning
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: 8.2
7.9
Ease of Admin
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
(183)4.4 out of 5
6th 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
    • 61% Enterprise
    • 21% 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
    82
    Features
    80
    Usability
    43
    Easy Integrations
    41
    Productivity Improvement
    41
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    20
  • 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: 8.2
    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
    23,028 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
  • 61% Enterprise
  • 21% 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
82
Features
80
Usability
43
Easy Integrations
41
Productivity Improvement
41
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
20
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: 8.2
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
23,028 Twitter followers
LinkedIn® Page
www.linkedin.com
1,411 employees on LinkedIn®
(611)4.3 out of 5
11th 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
    • Higher Education
    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 analytics platform that supports advanced analytics, machine learning, and data processing in one platform.
    • Reviewers frequently mention its strong performance, fast processing, easy integration with cloud platforms, and its ability to make teamwork easier by keeping everything in one place.
    • Reviewers mentioned that SAS Viya can be complex to configure, requires strong technical skills to manage in large environments, and its high cost can be a barrier for smaller organizations or teams with limited budgets.
  • 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
    271
    Features
    188
    Analytics
    162
    Data Analysis
    135
    User Interface
    126
    Cons
    Learning Curve
    127
    Learning Difficulty
    126
    Complexity
    116
    Difficult Learning
    99
    Not User-Friendly
    92
  • 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: 8.2
    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
    61,236 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 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
  • Higher Education
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 analytics platform that supports advanced analytics, machine learning, and data processing in one platform.
  • Reviewers frequently mention its strong performance, fast processing, easy integration with cloud platforms, and its ability to make teamwork easier by keeping everything in one place.
  • Reviewers mentioned that SAS Viya can be complex to configure, requires strong technical skills to manage in large environments, and its high cost can be a barrier for smaller organizations or teams with limited budgets.
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
271
Features
188
Analytics
162
Data Analysis
135
User Interface
126
Cons
Learning Curve
127
Learning Difficulty
126
Complexity
116
Difficult Learning
99
Not User-Friendly
92
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: 8.2
7.5
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,236 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
(122)4.4 out of 5
Optimized for quick response
14th 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.

    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
    • 34% 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
    66
    Model Variety
    25
    AI Integration
    19
    Easy Integrations
    19
    Efficiency
    19
    Cons
    Improvement Needed
    17
    Expensive
    15
    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: 8.2
    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
    709,117 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
  • 34% 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
66
Model Variety
25
AI Integration
19
Easy Integrations
19
Efficiency
19
Cons
Improvement Needed
17
Expensive
15
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: 8.2
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(759)4.5 out of 5
View top Consulting Services for MATLAB
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    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
    15
    Features
    11
    Data Visualization
    8
    Simulation
    8
    Mathematical Calculations
    6
    Cons
    Expensive
    7
    Slow Performance
    6
    High System Requirements
    4
    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: 8.2
    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
    100,648 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 programming, modeling and simulation tool developed by MathWorks.

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
15
Features
11
Data Visualization
8
Simulation
8
Mathematical Calculations
6
Cons
Expensive
7
Slow Performance
6
High System Requirements
4
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: 8.2
8.4
Ease of Admin
Average: 8.5
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
100,648 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
(663)4.6 out of 5
Optimized for quick response
7th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Alteryx
Save to My Lists
Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 63% 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.
    • Alteryx is a software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
    • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
    • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx 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
    324
    Automation
    140
    Intuitive
    130
    Easy Learning
    101
    Problem Solving
    101
    Cons
    Expensive
    86
    Learning Curve
    80
    Missing Features
    61
    Learning Difficulty
    54
    Slow Performance
    40
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    8.7
    Application
    Average: 8.5
    8.0
    Managed Service
    Average: 8.2
    7.9
    Natural Language Understanding
    Average: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,388 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 63% 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.
  • Alteryx is a software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
  • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
  • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
Alteryx 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
324
Automation
140
Intuitive
130
Easy Learning
101
Problem Solving
101
Cons
Expensive
86
Learning Curve
80
Missing Features
61
Learning Difficulty
54
Slow Performance
40
Alteryx features and usability ratings that predict user satisfaction
8.7
Application
Average: 8.5
8.0
Managed Service
Average: 8.2
7.9
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,388 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes al

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 33% Mid-Market
    • 33% Enterprise
  • 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
    AI Capabilities
    2
    Cons
    Expensive
    4
    Complexity
    2
    Complexity Issues
    2
    Complex Interface
    1
    Cost
    1
  • 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: 8.2
    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
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 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 developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes al

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 33% Mid-Market
  • 33% Enterprise
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
AI Capabilities
2
Cons
Expensive
4
Complexity
2
Complexity Issues
2
Complex Interface
1
Cost
1
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: 8.2
8.4
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Enterprise
    • 34% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Machine Learning 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
    7
    Efficiency
    5
    Features
    5
    Easy Integrations
    3
    Implementation Ease
    3
    Cons
    Learning Curve
    4
    UX Improvement
    3
    Difficult Navigation
    2
    Expensive
    2
    Integration Difficulty
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Machine Learning features and usability ratings that predict user satisfaction
    8.8
    Application
    Average: 8.5
    8.9
    Managed Service
    Average: 8.2
    8.7
    Natural Language Understanding
    Average: 8.2
    8.3
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Enterprise
  • 34% Small-Business
Azure Machine Learning 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
7
Efficiency
5
Features
5
Easy Integrations
3
Implementation Ease
3
Cons
Learning Curve
4
UX Improvement
3
Difficult Navigation
2
Expensive
2
Integration Difficulty
2
Azure Machine Learning features and usability ratings that predict user satisfaction
8.8
Application
Average: 8.5
8.9
Managed Service
Average: 8.2
8.7
Natural Language Understanding
Average: 8.2
8.3
Ease of Admin
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(134)4.5 out of 5
3rd Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for TensorFlow
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TensorFlow is an open source software library for numerical computation using data flow graphs.

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 49% 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
    22
    Model Variety
    19
    AI Integration
    18
    Ease of Use
    18
    Customer Support
    12
    Cons
    Steep Learning Curve
    25
    Difficult Learning
    8
    Complexity
    7
    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: 8.2
    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
    381,136 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 software library for numerical computation using data flow graphs.

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 49% 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
22
Model Variety
19
AI Integration
18
Ease of Use
18
Customer Support
12
Cons
Steep Learning Curve
25
Difficult Learning
8
Complexity
7
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: 8.2
7.9
Ease of Admin
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
Centre Urbain Nord, TN
Twitter
@TensorFlow
381,136 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(230)4.5 out of 5
Optimized for quick response
10th 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 is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of

    Users
    • Student
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Small-Business
    • 27% 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
    11
    Coding Ease
    6
    Tools Variety
    6
    Setup Ease
    5
    Easy Integrations
    3
    Cons
    Data Management Issues
    3
    Slow Loading
    3
    Slow Performance
    3
    Lacking Features
    2
    Limited Storage
    2
  • 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: 8.2
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    Austin, Texas
    Twitter
    @anacondainc
    84,265 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    545 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of

Users
  • Student
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 38% Small-Business
  • 27% 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
11
Coding Ease
6
Tools Variety
6
Setup Ease
5
Easy Integrations
3
Cons
Data Management Issues
3
Slow Loading
3
Slow Performance
3
Lacking Features
2
Limited Storage
2
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: 8.2
8.7
Ease of Admin
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
Austin, Texas
Twitter
@anacondainc
84,265 Twitter followers
LinkedIn® Page
www.linkedin.com
545 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 51% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Watson Studio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Capabilities
    4
    AI Integration
    4
    AI Modeling
    4
    AI Technology
    4
    Ease of Use
    4
    Cons
    Learning Curve
    2
    Steep Learning Curve
    2
    Cost
    1
    Difficulty in Adjustments
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Watson Studio features and usability ratings that predict user satisfaction
    9.2
    Application
    Average: 8.5
    9.3
    Managed Service
    Average: 8.2
    8.9
    Natural Language Understanding
    Average: 8.2
    7.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale t

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 51% Enterprise
  • 30% Small-Business
IBM Watson Studio Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Capabilities
4
AI Integration
4
AI Modeling
4
AI Technology
4
Ease of Use
4
Cons
Learning Curve
2
Steep Learning Curve
2
Cost
1
Difficulty in Adjustments
1
Expensive
1
IBM Watson Studio features and usability ratings that predict user satisfaction
9.2
Application
Average: 8.5
9.3
Managed Service
Average: 8.2
8.9
Natural Language Understanding
Average: 8.2
7.8
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategi

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 59% Enterprise
    • 22% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Decision Optimization features and usability ratings that predict user satisfaction
    8.3
    Application
    Average: 8.5
    8.3
    Managed Service
    Average: 8.2
    7.3
    Natural Language Understanding
    Average: 8.2
    8.7
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical and AI techniques to help with business decision-making including operational, tactical and strategi

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 59% Enterprise
  • 22% Small-Business
IBM Decision Optimization features and usability ratings that predict user satisfaction
8.3
Application
Average: 8.5
8.3
Managed Service
Average: 8.2
7.3
Natural Language Understanding
Average: 8.2
8.7
Ease of Admin
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(938)4.3 out of 5
Optimized for quick response
15th Easiest To Use in Data Science and Machine Learning Platforms software
View top Consulting Services for Domo
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

    Users
    • Data Analyst
    • Business Analyst
    Industries
    • Computer Software
    • Marketing and Advertising
    Market Segment
    • 49% Mid-Market
    • 29% Enterprise
    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.
    • Domo is a business intelligence tool that provides data visualization and transformation functionalities, enabling users to manage and analyze data from various sources.
    • Reviewers appreciate Domo's user-friendly interface, its ability to automate data transformation processes, and its wide range of connectors that simplify data integration.
    • Users experienced limitations with the Analyzer tool, difficulties in learning how to use the platform, and challenges with customizing dashboards and managing credit consumption.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Domo 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
    200
    Data Visualization
    95
    Easy Integrations
    78
    Integrations
    76
    Intuitive
    75
    Cons
    Learning Curve
    57
    Missing Features
    47
    Data Management Issues
    41
    Expensive
    36
    Limited Customization
    32
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Domo features and usability ratings that predict user satisfaction
    5.9
    Application
    Average: 8.5
    6.4
    Managed Service
    Average: 8.2
    5.8
    Natural Language Understanding
    Average: 8.2
    8.0
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Domo
    Company Website
    Year Founded
    2010
    HQ Location
    American Fork, UT
    Twitter
    @Domotalk
    64,048 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,322 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and g

Users
  • Data Analyst
  • Business Analyst
Industries
  • Computer Software
  • Marketing and Advertising
Market Segment
  • 49% Mid-Market
  • 29% Enterprise
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.
  • Domo is a business intelligence tool that provides data visualization and transformation functionalities, enabling users to manage and analyze data from various sources.
  • Reviewers appreciate Domo's user-friendly interface, its ability to automate data transformation processes, and its wide range of connectors that simplify data integration.
  • Users experienced limitations with the Analyzer tool, difficulties in learning how to use the platform, and challenges with customizing dashboards and managing credit consumption.
Domo 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
200
Data Visualization
95
Easy Integrations
78
Integrations
76
Intuitive
75
Cons
Learning Curve
57
Missing Features
47
Data Management Issues
41
Expensive
36
Limited Customization
32
Domo features and usability ratings that predict user satisfaction
5.9
Application
Average: 8.5
6.4
Managed Service
Average: 8.2
5.8
Natural Language Understanding
Average: 8.2
8.0
Ease of Admin
Average: 8.5
Seller Details
Seller
Domo
Company Website
Year Founded
2010
HQ Location
American Fork, UT
Twitter
@Domotalk
64,048 Twitter followers
LinkedIn® Page
www.linkedin.com
1,322 employees on LinkedIn®
(355)4.5 out of 5
1st 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 building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and p

    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 allows users to write, run, and collaborate on Python and SQL code in real-time, with integrated AI features and the ability to connect to various data sources.
    • Reviewers frequently mention the ease of use, seamless integration of SQL and Python, real-time collaboration features, and the helpfulness of the AI assistant in debugging and data visualization.
    • Users experienced occasional slow performance with large datasets, limitations on offline access, difficulties with project management, and issues with certain integrations such as Google Drive.
  • 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
    157
    Collaboration
    116
    Team Collaboration
    71
    Easy Integrations
    69
    Data Management
    62
    Cons
    Slow Performance
    59
    Data Management Issues
    27
    Limited Features
    27
    Bugs
    24
    Lagging Performance
    24
  • 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: 8.2
    8.8
    Ease of Admin
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Deepnote
    Year Founded
    2019
    HQ Location
    San Francisco , US
    Twitter
    @DeepnoteHQ
    5,278 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 building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and p

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 allows users to write, run, and collaborate on Python and SQL code in real-time, with integrated AI features and the ability to connect to various data sources.
  • Reviewers frequently mention the ease of use, seamless integration of SQL and Python, real-time collaboration features, and the helpfulness of the AI assistant in debugging and data visualization.
  • Users experienced occasional slow performance with large datasets, limitations on offline access, difficulties with project management, and issues with certain integrations such as Google Drive.
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
157
Collaboration
116
Team Collaboration
71
Easy Integrations
69
Data Management
62
Cons
Slow Performance
59
Data Management Issues
27
Limited Features
27
Bugs
24
Lagging Performance
24
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: 8.2
8.8
Ease of Admin
Average: 8.5
Seller Details
Seller
Deepnote
Year Founded
2019
HQ Location
San Francisco , US
Twitter
@DeepnoteHQ
5,278 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®