Best Active Metadata Management Software

SJ
Researched and written by Shalaka Joshi

Active metadata management is a new form of data management where active metadata is used to provide clear, intelligible business insights to drive smart business decisions. Active metadata is the key factor that will allow businesses to improve the efficiency of data-driven decisions and initiatives. Metadata is data that describes data. Traditional data catalogs contain passive metadata—data not proactively used by the user unless initiated and includes models and schemas. This is where active metadata comes in. Active metadata enriches passive metadata to improve data cataloging and data management. It manages the metadata for operational purposes.

Traditional metadata management platforms focused on organizing and storing metadata, including an organization's data. Active metadata management brings in the "analysis" component to this data, helping data users analyze metadata and derive valuable and rational insights via automation. In simple terms, metadata management connects technical, business, and operational data, and when AI and machine learning are integrated into this relationship, active metadata management is born. Active metadata management platforms also have a component of machine learning to ensure resource allocation, capacity monitoring, etc. It also supports real-time collaboration.

Active metadata management software works very similarly to machine learning data catalogs. The major difference, however, is that active metadata management encompasses the entire data ecosystem and is the successor to a machine learning data catalog. Active metadata management tools do not focus only on crawling, cataloging, and scrolling data with the help of machine learning but also set up a data management framework for all users in an organization. It is a building block of the DataOps architecture.

To qualify for inclusion in the Active Metadata Management category, a product must:

Manage a company’s active metadata and provide intelligent, actionable insights
Build a knowledge graph of metadata management
Support integration with API connectors for collaboration
Enable personalization of recommendations for data analysis and adjacent management tools

Best Active Metadata Management Software At A Glance

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38 Listings in Active Metadata Management Available
(116)4.5 out of 5
Optimized for quick response
2nd Easiest To Use in Active Metadata Management 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
    • 54% Mid-Market
    • 40% 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
    29
    User Interface
    21
    Features
    19
    Data Lineage
    18
    Integrations
    15
    Cons
    Lacking Features
    8
    Limited Functionality
    8
    Missing Features
    8
    Data Lineage Issues
    6
    Integration Issues
    6
  • 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
    Metadata Management
    Average: 8.9
    9.0
    Data Discovery
    Average: 8.8
    8.6
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,474 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    434 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
  • 54% Mid-Market
  • 40% 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
29
User Interface
21
Features
19
Data Lineage
18
Integrations
15
Cons
Lacking Features
8
Limited Functionality
8
Missing Features
8
Data Lineage Issues
6
Integration Issues
6
Atlan features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.7
9.2
Metadata Management
Average: 8.9
9.0
Data Discovery
Average: 8.8
8.6
Automation Features
Average: 8.5
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,474 Twitter followers
LinkedIn® Page
in.linkedin.com
434 employees on LinkedIn®
(94)4.3 out of 5
Optimized for quick response
6th Easiest To Use in Active Metadata Management software
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  • Overview
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  • 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
    • 73% 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
    Ease of Use
    10
    Features
    8
    Data Management
    7
    Customization
    6
    Data Quality
    6
    Cons
    Limited Functionality
    6
    Missing Features
    5
    Feature Limitations
    4
    Improvement Needed
    4
    Integration 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
    8.4
    Metadata Management
    Average: 8.9
    8.2
    Data Discovery
    Average: 8.8
    7.3
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Collibra
    Company Website
    Year Founded
    2008
    HQ Location
    New York, New York
    Twitter
    @collibra
    5,761 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,014 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
  • 73% 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
Ease of Use
10
Features
8
Data Management
7
Customization
6
Data Quality
6
Cons
Limited Functionality
6
Missing Features
5
Feature Limitations
4
Improvement Needed
4
Integration Issues
4
Collibra features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.7
8.4
Metadata Management
Average: 8.9
8.2
Data Discovery
Average: 8.8
7.3
Automation Features
Average: 8.5
Seller Details
Seller
Collibra
Company Website
Year Founded
2008
HQ Location
New York, New York
Twitter
@collibra
5,761 Twitter followers
LinkedIn® Page
www.linkedin.com
1,014 employees on LinkedIn®

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(52)4.8 out of 5
Optimized for quick response
1st Easiest To Use in Active Metadata Management software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataGalaxy is the industry’s first Data Knowledge Catalog delivering data culture and literacy across organizations globally. As an established leader in Europe and operating worldwide, DataGalaxy

    Users
    No information available
    Industries
    • Insurance
    • Banking
    Market Segment
    • 52% Enterprise
    • 44% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataGalaxy Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    User Interface
    11
    User Experience
    8
    Integrations
    6
    Collaboration
    5
    Cons
    Limited Functionality
    4
    Missing Features
    3
    Limited Accessibility
    2
    Limited Customization
    2
    User Interface Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataGalaxy features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.7
    9.4
    Metadata Management
    Average: 8.9
    7.7
    Data Discovery
    Average: 8.8
    7.2
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2015
    HQ Location
    Lyon, Rhone-Alpes
    Twitter
    @DataGalaxy
    869 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    89 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataGalaxy is the industry’s first Data Knowledge Catalog delivering data culture and literacy across organizations globally. As an established leader in Europe and operating worldwide, DataGalaxy

Users
No information available
Industries
  • Insurance
  • Banking
Market Segment
  • 52% Enterprise
  • 44% Mid-Market
DataGalaxy Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
User Interface
11
User Experience
8
Integrations
6
Collaboration
5
Cons
Limited Functionality
4
Missing Features
3
Limited Accessibility
2
Limited Customization
2
User Interface Issues
2
DataGalaxy features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.7
9.4
Metadata Management
Average: 8.9
7.7
Data Discovery
Average: 8.8
7.2
Automation Features
Average: 8.5
Seller Details
Company Website
Year Founded
2015
HQ Location
Lyon, Rhone-Alpes
Twitter
@DataGalaxy
869 Twitter followers
LinkedIn® Page
www.linkedin.com
89 employees on LinkedIn®
(65)4.4 out of 5
7th Easiest To Use in Active Metadata Management software
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  • Overview
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  • 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
    9
    Customer Support
    5
    Integrations
    5
    User Interface
    5
    Collaboration
    4
    Cons
    Data Quality
    3
    Difficult Learning
    3
    Lineage Limitations
    3
    Missing Features
    3
    Expensive
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alation features and usability ratings that predict user satisfaction
    8.4
    Ease of Use
    Average: 8.7
    8.5
    Metadata Management
    Average: 8.9
    9.0
    Data Discovery
    Average: 8.8
    7.6
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alation
    Company Website
    Year Founded
    2012
    HQ Location
    Redwood City, CA
    Twitter
    @Alation
    3,609 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    668 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
9
Customer Support
5
Integrations
5
User Interface
5
Collaboration
4
Cons
Data Quality
3
Difficult Learning
3
Lineage Limitations
3
Missing Features
3
Expensive
2
Alation features and usability ratings that predict user satisfaction
8.4
Ease of Use
Average: 8.7
8.5
Metadata Management
Average: 8.9
9.0
Data Discovery
Average: 8.8
7.6
Automation Features
Average: 8.5
Seller Details
Seller
Alation
Company Website
Year Founded
2012
HQ Location
Redwood City, CA
Twitter
@Alation
3,609 Twitter followers
LinkedIn® Page
www.linkedin.com
668 employees on LinkedIn®
(50)4.5 out of 5
5th Easiest To Use in Active Metadata Management software
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Secoda is the fastest way to explore, understand, and use data. Companies like Chipotle, Cardinal Health, Kaufland, and Remitly use Secoda to get visibility into the health of their entire stack, red

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 64% Mid-Market
    • 20% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Secoda 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
    Features
    23
    Customer Support
    19
    Integrations
    14
    Data Lineage
    12
    Cons
    Bug Issues
    10
    Bugs
    10
    Technical Issues
    9
    Missing Features
    5
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Secoda features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.7
    9.3
    Metadata Management
    Average: 8.9
    8.2
    Data Discovery
    Average: 8.8
    7.0
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Secoda
    Year Founded
    2021
    HQ Location
    Toronto, CA
    Twitter
    @SecodaHQ
    895 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    43 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Secoda is the fastest way to explore, understand, and use data. Companies like Chipotle, Cardinal Health, Kaufland, and Remitly use Secoda to get visibility into the health of their entire stack, red

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 64% Mid-Market
  • 20% Small-Business
Secoda 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
Features
23
Customer Support
19
Integrations
14
Data Lineage
12
Cons
Bug Issues
10
Bugs
10
Technical Issues
9
Missing Features
5
Learning Curve
4
Secoda features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.7
9.3
Metadata Management
Average: 8.9
8.2
Data Discovery
Average: 8.8
7.0
Automation Features
Average: 8.5
Seller Details
Seller
Secoda
Year Founded
2021
HQ Location
Toronto, CA
Twitter
@SecodaHQ
895 Twitter followers
LinkedIn® Page
www.linkedin.com
43 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Progress Semaphore semantic AI platform enables organizations to derive value from their information by making it consumable and trustworthy across the enterprise at scale. Semaphore excels at thi

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 61% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Progress Semaphore Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Management
    8
    Ease of Use
    8
    Features
    5
    Results
    4
    Helpful
    3
    Cons
    Learning Difficulty
    6
    Required Expertise
    4
    Lack of Information
    2
    Software Bugs
    2
    Understanding Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Progress Semaphore features and usability ratings that predict user satisfaction
    7.9
    Ease of Use
    Average: 8.7
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1981
    HQ Location
    Burlington, MA.
    Twitter
    @ProgressSW
    50,056 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,615 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Progress Semaphore semantic AI platform enables organizations to derive value from their information by making it consumable and trustworthy across the enterprise at scale. Semaphore excels at thi

Users
No information available
Industries
  • Computer Software
Market Segment
  • 61% Small-Business
  • 32% Mid-Market
Progress Semaphore Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Management
8
Ease of Use
8
Features
5
Results
4
Helpful
3
Cons
Learning Difficulty
6
Required Expertise
4
Lack of Information
2
Software Bugs
2
Understanding Issues
2
Progress Semaphore features and usability ratings that predict user satisfaction
7.9
Ease of Use
Average: 8.7
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Company Website
Year Founded
1981
HQ Location
Burlington, MA.
Twitter
@ProgressSW
50,056 Twitter followers
LinkedIn® Page
www.linkedin.com
3,615 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A machine-learning-based data catalog that allows to classify and organize data assets across cloud, on-premises, and big data. It provides maximum value and reuse of data across enterprise.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Informatica Enterprise Data Catalog Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Cataloging
    1
    Data Governance
    1
    Data Lineage
    1
    Metadata Management
    1
    Cons
    Expensive
    1
    Lineage Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Enterprise Data Catalog features and usability ratings that predict user satisfaction
    7.7
    Ease of Use
    Average: 8.7
    8.1
    Metadata Management
    Average: 8.9
    8.1
    Data Discovery
    Average: 8.8
    7.2
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    101,673 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,576 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

A machine-learning-based data catalog that allows to classify and organize data assets across cloud, on-premises, and big data. It provides maximum value and reuse of data across enterprise.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 24% Mid-Market
Informatica Enterprise Data Catalog Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Cataloging
1
Data Governance
1
Data Lineage
1
Metadata Management
1
Cons
Expensive
1
Lineage Limitations
1
Informatica Enterprise Data Catalog features and usability ratings that predict user satisfaction
7.7
Ease of Use
Average: 8.7
8.1
Metadata Management
Average: 8.9
8.1
Data Discovery
Average: 8.8
7.2
Automation Features
Average: 8.5
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
101,673 Twitter followers
LinkedIn® Page
www.linkedin.com
5,576 employees on LinkedIn®
Ownership
NYSE: INFA
(63)4.7 out of 5
3rd Easiest To Use in Active Metadata Management software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Coalesce Catalog is a collaborative, automated data discovery & catalog tool. We believe that data people spend way too much time trying to find and understand their data. Coalesce Catalog

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 60% Mid-Market
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Coalesce Catalog 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
    Collaboration
    2
    Ease of Use
    2
    Centralized Management
    1
    Connectivity
    1
    Data Governance
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Coalesce Catalog features and usability ratings that predict user satisfaction
    9.6
    Ease of Use
    Average: 8.7
    9.2
    Metadata Management
    Average: 8.9
    9.4
    Data Discovery
    Average: 8.8
    8.3
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Coalesce
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, CA
    LinkedIn® Page
    www.linkedin.com
    110 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Coalesce Catalog is a collaborative, automated data discovery & catalog tool. We believe that data people spend way too much time trying to find and understand their data. Coalesce Catalog

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 60% Mid-Market
  • 25% Enterprise
Coalesce Catalog 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
Collaboration
2
Ease of Use
2
Centralized Management
1
Connectivity
1
Data Governance
1
Cons
This product has not yet received any negative sentiments.
Coalesce Catalog features and usability ratings that predict user satisfaction
9.6
Ease of Use
Average: 8.7
9.2
Metadata Management
Average: 8.9
9.4
Data Discovery
Average: 8.8
8.3
Automation Features
Average: 8.5
Seller Details
Seller
Coalesce
Company Website
Year Founded
2020
HQ Location
San Francisco, CA
LinkedIn® Page
www.linkedin.com
110 employees on LinkedIn®
(43)4.5 out of 5
4th Easiest To Use in Active Metadata Management software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Select Star is a modern data governance platform that helps organizations manage and understand their data at scale – enabling AI, analytics, and self-service across the business. It automatically

    Users
    No information available
    Industries
    • Real Estate
    • Information Technology and Services
    Market Segment
    • 53% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Select Star Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Lineage
    7
    Data Discovery
    5
    Ease of Use
    5
    Insights
    3
    User Interface
    3
    Cons
    Limited Functionality
    4
    Missing Features
    3
    Complexity
    1
    Complex Setup
    1
    Data Quality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Select Star features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.7
    8.5
    Metadata Management
    Average: 8.9
    9.3
    Data Discovery
    Average: 8.8
    7.5
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    San Francisco, CA
    Twitter
    @selectstarhq
    385 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.

Select Star is a modern data governance platform that helps organizations manage and understand their data at scale – enabling AI, analytics, and self-service across the business. It automatically

Users
No information available
Industries
  • Real Estate
  • Information Technology and Services
Market Segment
  • 53% Mid-Market
  • 35% Enterprise
Select Star Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Lineage
7
Data Discovery
5
Ease of Use
5
Insights
3
User Interface
3
Cons
Limited Functionality
4
Missing Features
3
Complexity
1
Complex Setup
1
Data Quality
1
Select Star features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
8.5
Metadata Management
Average: 8.9
9.3
Data Discovery
Average: 8.8
7.5
Automation Features
Average: 8.5
Seller Details
Year Founded
2020
HQ Location
San Francisco, CA
Twitter
@selectstarhq
385 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
(18)4.5 out of 5
8th Easiest To Use in Active Metadata Management software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Octopai modernizes data management with an automated metadata management platform that visualizes complex data flows across your entire organization's data landscape. Octopai enables data teams to tra

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 22% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Octopai features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.7
    8.7
    Metadata Management
    Average: 8.9
    8.8
    Data Discovery
    Average: 8.8
    8.1
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Octopai
    Year Founded
    2015
    HQ Location
    Wilmington, US
    LinkedIn® Page
    www.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Octopai modernizes data management with an automated metadata management platform that visualizes complex data flows across your entire organization's data landscape. Octopai enables data teams to tra

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 22% Enterprise
Octopai features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.7
8.7
Metadata Management
Average: 8.9
8.8
Data Discovery
Average: 8.8
8.1
Automation Features
Average: 8.5
Seller Details
Seller
Octopai
Year Founded
2015
HQ Location
Wilmington, US
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no lo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cluedin 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
    Integration Capabilities
    3
    Data Management
    2
    Data Security
    2
    Integrations
    2
    Integration Support
    2
    Cons
    Learning Curve
    3
    Difficult Interface
    2
    Difficulty Learning
    2
    Poor Documentation
    2
    Poor User Interface
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cluedin features and usability ratings that predict user satisfaction
    7.9
    Ease of Use
    Average: 8.7
    8.3
    Metadata Management
    Average: 8.9
    8.3
    Data Discovery
    Average: 8.8
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CluedIn
    Year Founded
    2015
    HQ Location
    Copenhagen, Copenhagen
    Twitter
    @cluedinhq
    2,484 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    48 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no lo

Users
No information available
Industries
No information available
Market Segment
  • 36% Enterprise
  • 36% Mid-Market
Cluedin 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
Integration Capabilities
3
Data Management
2
Data Security
2
Integrations
2
Integration Support
2
Cons
Learning Curve
3
Difficult Interface
2
Difficulty Learning
2
Poor Documentation
2
Poor User Interface
2
Cluedin features and usability ratings that predict user satisfaction
7.9
Ease of Use
Average: 8.7
8.3
Metadata Management
Average: 8.9
8.3
Data Discovery
Average: 8.8
0.0
No information available
Seller Details
Seller
CluedIn
Year Founded
2015
HQ Location
Copenhagen, Copenhagen
Twitter
@cluedinhq
2,484 Twitter followers
LinkedIn® Page
www.linkedin.com
48 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dawiso is a modern, user-friendly data catalog and governance platform supporting the data democratisation of data-driven companies. With active metadata management, Dawiso enables everybody in an org

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dawiso 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
    Easy Setup
    3
    Simple
    3
    Customer Support
    2
    Customization
    2
    Cons
    Learning Curve
    2
    Limited Customization
    2
    Steep Learning Curve
    2
    Expensive
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dawiso features and usability ratings that predict user satisfaction
    9.7
    Ease of Use
    Average: 8.7
    9.0
    Metadata Management
    Average: 8.9
    10.0
    Data Discovery
    Average: 8.8
    8.8
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dawiso
    Year Founded
    2019
    HQ Location
    Prague 1, Prague
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dawiso is a modern, user-friendly data catalog and governance platform supporting the data democratisation of data-driven companies. With active metadata management, Dawiso enables everybody in an org

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 30% Small-Business
Dawiso 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
Easy Setup
3
Simple
3
Customer Support
2
Customization
2
Cons
Learning Curve
2
Limited Customization
2
Steep Learning Curve
2
Expensive
1
Integration Issues
1
Dawiso features and usability ratings that predict user satisfaction
9.7
Ease of Use
Average: 8.7
9.0
Metadata Management
Average: 8.9
10.0
Data Discovery
Average: 8.8
8.8
Automation Features
Average: 8.5
Seller Details
Seller
Dawiso
Year Founded
2019
HQ Location
Prague 1, Prague
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alex is a Metadata Management Platform designed to empower everyone to securely find, understand, protect, and ethically use the world’s data. Recognised by Gartner as a Leader in the Magic Quadrant f

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alex Solutions Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Governance
    1
    Data Security
    1
    Cons
    Complex Setup
    1
    Data Management
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alex Solutions features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.7
    10.0
    Metadata Management
    Average: 8.9
    10.0
    Data Discovery
    Average: 8.8
    10.0
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Melbourne, Victoria
    Twitter
    @alex_solutions_
    91 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    105 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alex is a Metadata Management Platform designed to empower everyone to securely find, understand, protect, and ethically use the world’s data. Recognised by Gartner as a Leader in the Magic Quadrant f

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
Alex Solutions Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Governance
1
Data Security
1
Cons
Complex Setup
1
Data Management
1
Integration Issues
1
Alex Solutions features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.7
10.0
Metadata Management
Average: 8.9
10.0
Data Discovery
Average: 8.8
10.0
Automation Features
Average: 8.5
Seller Details
Year Founded
2016
HQ Location
Melbourne, Victoria
Twitter
@alex_solutions_
91 Twitter followers
LinkedIn® Page
www.linkedin.com
105 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Manta's unified lineage platform helps businesses around the world fix the damage done by poor data management and the manual processes surrounding it. Manta can construct lineage from report defini

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 30% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Manta Data Lineage 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
    Automation
    4
    Data Lineage
    3
    Ease of Use
    2
    Features
    2
    Data Quality
    1
    Cons
    Complex Implementation
    3
    Integration Issues
    3
    Compatibility Issues
    2
    Complex Animation
    1
    Complex Hierarchy
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Manta Data Lineage features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.7
    8.3
    Metadata Management
    Average: 8.9
    8.9
    Data Discovery
    Average: 8.8
    9.4
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,653 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Manta's unified lineage platform helps businesses around the world fix the damage done by poor data management and the manual processes surrounding it. Manta can construct lineage from report defini

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 30% Mid-Market
IBM Manta Data Lineage 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
Automation
4
Data Lineage
3
Ease of Use
2
Features
2
Data Quality
1
Cons
Complex Implementation
3
Integration Issues
3
Compatibility Issues
2
Complex Animation
1
Complex Hierarchy
1
IBM Manta Data Lineage features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.7
8.3
Metadata Management
Average: 8.9
8.9
Data Discovery
Average: 8.8
9.4
Automation Features
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,653 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Nexla is an enterprise-grade data integration platform with a new approach to data integration that’s designed for the GenAI era. Instead of relying on leaky data pipelines, Nexla abstracts data at it

    Users
    No information available
    Industries
    • Computer Software
    • Insurance
    Market Segment
    • 40% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Nexla Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Integrations
    10
    Automation
    9
    Data Management
    9
    Data Integration
    7
    Cons
    Learning Curve
    5
    Complex Setup
    4
    Feature Limitations
    4
    Learning Difficulty
    4
    Performance Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Nexla features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.7
    9.2
    Metadata Management
    Average: 8.9
    9.2
    Data Discovery
    Average: 8.8
    9.6
    Automation Features
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Nexla
    Company Website
    Year Founded
    2016
    HQ Location
    San Mateo, California
    Twitter
    @NexlaInc
    842 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    83 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Nexla is an enterprise-grade data integration platform with a new approach to data integration that’s designed for the GenAI era. Instead of relying on leaky data pipelines, Nexla abstracts data at it

Users
No information available
Industries
  • Computer Software
  • Insurance
Market Segment
  • 40% Mid-Market
  • 36% Small-Business
Nexla Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Integrations
10
Automation
9
Data Management
9
Data Integration
7
Cons
Learning Curve
5
Complex Setup
4
Feature Limitations
4
Learning Difficulty
4
Performance Issues
4
Nexla features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.7
9.2
Metadata Management
Average: 8.9
9.2
Data Discovery
Average: 8.8
9.6
Automation Features
Average: 8.5
Seller Details
Seller
Nexla
Company Website
Year Founded
2016
HQ Location
San Mateo, California
Twitter
@NexlaInc
842 Twitter followers
LinkedIn® Page
www.linkedin.com
83 employees on LinkedIn®