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Best Enterprise Machine Learning Data Catalog Software

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Machine Learning Data Catalog 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 Machine Learning Data Catalog 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 Machine Learning Data Catalog category.

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

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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5 Listings in Enterprise Machine Learning Data Catalog Software Available

(117)4.5 out of 5
Optimized for quick response
4th Easiest To Use in Machine Learning Data Catalog software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 55% Mid-Market
    • 39% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Atlan 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
    26
    User Interface
    19
    Features
    17
    Data Lineage
    16
    Easy Setup
    13
    Cons
    Lacking Features
    7
    Limited Functionality
    7
    Integration Issues
    6
    Missing Features
    6
    Data Lineage Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.7
    9.2
    Business and Data Glossary
    Average: 8.4
    9.4
    Metadata Management
    Average: 8.5
    9.3
    Data Lineage
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,555 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    516 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 55% Mid-Market
  • 39% Enterprise
Atlan 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
26
User Interface
19
Features
17
Data Lineage
16
Easy Setup
13
Cons
Lacking Features
7
Limited Functionality
7
Integration Issues
6
Missing Features
6
Data Lineage Issues
5
Atlan features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.7
9.2
Business and Data Glossary
Average: 8.4
9.4
Metadata Management
Average: 8.5
9.3
Data Lineage
Average: 8.7
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,555 Twitter followers
LinkedIn® Page
in.linkedin.com
516 employees on LinkedIn®
(194)4.3 out of 5
3rd Easiest To Use in Machine Learning Data Catalog software
View top Consulting Services for AWS Glue
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

    Users
    • Data Engineer
    • DevOps Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AWS Glue 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
    8
    Data Integration
    5
    Easy Integrations
    5
    Integration Efficiency
    5
    Integrations
    5
    Cons
    Missing Features
    4
    Data Limitations
    3
    Feature Limitations
    3
    Lack of Features
    3
    Limited Functionality
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Glue features and usability ratings that predict user satisfaction
    8.4
    Ease of Use
    Average: 8.7
    8.9
    Business and Data Glossary
    Average: 8.4
    8.6
    Metadata Management
    Average: 8.5
    8.7
    Data Lineage
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,411 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    146,764 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and app

Users
  • Data Engineer
  • DevOps Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 28% Mid-Market
AWS Glue 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
8
Data Integration
5
Easy Integrations
5
Integration Efficiency
5
Integrations
5
Cons
Missing Features
4
Data Limitations
3
Feature Limitations
3
Lack of Features
3
Limited Functionality
3
AWS Glue features and usability ratings that predict user satisfaction
8.4
Ease of Use
Average: 8.7
8.9
Business and Data Glossary
Average: 8.4
8.6
Metadata Management
Average: 8.5
8.7
Data Lineage
Average: 8.7
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,411 Twitter followers
LinkedIn® Page
www.linkedin.com
146,764 employees on LinkedIn®
Ownership
NASDAQ: AMZN

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(96)4.3 out of 5
Optimized for quick response
7th Easiest To Use in Machine Learning Data Catalog software
View top Consulting Services for Collibra
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying

    Users
    No information available
    Industries
    • Financial Services
    • Banking
    Market Segment
    • 74% Enterprise
    • 19% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Collibra 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
    11
    Ease of Use
    10
    Data Management
    8
    Customization
    7
    Integrations
    7
    Cons
    Limited Functionality
    6
    Missing Features
    5
    Improvement Needed
    4
    Integration Issues
    4
    User Interface Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Collibra features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.7
    8.1
    Business and Data Glossary
    Average: 8.4
    7.7
    Metadata Management
    Average: 8.5
    7.7
    Data Lineage
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Collibra
    Company Website
    Year Founded
    2008
    HQ Location
    New York, New York
    Twitter
    @collibra
    5,741 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,021 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying

Users
No information available
Industries
  • Financial Services
  • Banking
Market Segment
  • 74% Enterprise
  • 19% Mid-Market
Collibra 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
11
Ease of Use
10
Data Management
8
Customization
7
Integrations
7
Cons
Limited Functionality
6
Missing Features
5
Improvement Needed
4
Integration Issues
4
User Interface Issues
4
Collibra features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.7
8.1
Business and Data Glossary
Average: 8.4
7.7
Metadata Management
Average: 8.5
7.7
Data Lineage
Average: 8.7
Seller Details
Seller
Collibra
Company Website
Year Founded
2008
HQ Location
New York, New York
Twitter
@collibra
5,741 Twitter followers
LinkedIn® Page
www.linkedin.com
1,021 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alation is the data intelligence company. Nearly 600 global enterprises — including 40% of the Fortune 100 — rely on Alation to realize value from their data and AI initiatives. Customers such as Cisc

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 66% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alation Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Data Governance
    2
    Analytics
    1
    Centralized Management
    1
    Collaboration
    1
    Cons
    Complex Setup
    1
    Difficult Learning
    1
    Learning Curve
    1
    Limited Customization
    1
    Lineage Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alation features and usability ratings that predict user satisfaction
    8.4
    Ease of Use
    Average: 8.7
    9.0
    Business and Data Glossary
    Average: 8.4
    8.3
    Metadata Management
    Average: 8.5
    7.1
    Data Lineage
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alation
    Company Website
    Year Founded
    2012
    HQ Location
    Redwood City, CA
    Twitter
    @Alation
    3,613 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    632 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alation is the data intelligence company. Nearly 600 global enterprises — including 40% of the Fortune 100 — rely on Alation to realize value from their data and AI initiatives. Customers such as Cisc

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 66% Enterprise
  • 25% Mid-Market
Alation Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Data Governance
2
Analytics
1
Centralized Management
1
Collaboration
1
Cons
Complex Setup
1
Difficult Learning
1
Learning Curve
1
Limited Customization
1
Lineage Limitations
1
Alation features and usability ratings that predict user satisfaction
8.4
Ease of Use
Average: 8.7
9.0
Business and Data Glossary
Average: 8.4
8.3
Metadata Management
Average: 8.5
7.1
Data Lineage
Average: 8.7
Seller Details
Seller
Alation
Company Website
Year Founded
2012
HQ Location
Redwood City, CA
Twitter
@Alation
3,613 Twitter followers
LinkedIn® Page
www.linkedin.com
632 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to ins

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 66% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Coginiti Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Efficiency Improvement
    3
    Customer Support
    2
    Data Management
    2
    Easy Setup
    2
    Cons
    Poor Documentation
    2
    Search Functionality
    2
    Limited Customization
    1
    Slow Performance
    1
    Training Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Coginiti features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.7
    8.9
    Business and Data Glossary
    Average: 8.4
    8.8
    Metadata Management
    Average: 8.5
    8.7
    Data Lineage
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Atlanta , GA
    Twitter
    @coginiti
    70 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.

Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to ins

Users
No information available
Industries
No information available
Market Segment
  • 66% Enterprise
  • 28% Mid-Market
Coginiti Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Efficiency Improvement
3
Customer Support
2
Data Management
2
Easy Setup
2
Cons
Poor Documentation
2
Search Functionality
2
Limited Customization
1
Slow Performance
1
Training Required
1
Coginiti features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.7
8.9
Business and Data Glossary
Average: 8.4
8.8
Metadata Management
Average: 8.5
8.7
Data Lineage
Average: 8.7
Seller Details
Year Founded
2020
HQ Location
Atlanta , GA
Twitter
@coginiti
70 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®