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Best Machine Learning Data Catalog Software - Page 3

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Machine learning data catalogs allow companies to categorize, access, interpret, and collaborate around company data across multiple data sources, while maintaining a high level of governance and access management. Artificial intelligence is key to many features of machine learning data catalogs, enabling functionality such as machine learning recommendations, natural language querying, and dynamic data masking for enhanced security purposes.

Companies can utilize machine learning data catalogs to maintain data sets in a single location so that searching for and discovering data is simple for everyday business users and analysts alike. Users have the ability to comment on, share, and recommend data sets so colleagues can have an immediate understanding of what they are querying. Additionally, IT administrators can put into place user provisioning to ensure unauthorized employees are not accessing sensitive data.

Machine learning data catalogs are most frequently implemented by companies that have multiple data sources, are searching for one source of truth, and are attempting to scale data usage company-wide. These products are generally administered by IT departments, who can maintain organization and security, but data can be accessed by data scientists or analysts and the average business user. The data can then be transformed, modeled, and visualized either directly in the machine learning data catalog or through an integration with business intelligence software.

It should be noted that not all machine learning data catalogs provide data preparation capabilities and may require an integration with a business intelligence platform. Additionally, these tools differ from master data management software due to their enhanced governance, collaboration, and machine learning functionality.

To qualify for inclusion in the Machine Learning Data Catalog category, a product must:

Organize and consolidate data from all company sources in a single repository
Provide user access management for security and data governance purposes
Allow business users to search and access the data from within the catalog
Offer collaboration features around data sets, including categorizing, commenting, and sharing
Give intelligent recommendations based on machine learning for quicker access to relevant data
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Best Machine Learning Data Catalog Software At A Glance

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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88 Listings in Machine Learning Data Catalog Available
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architecture

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Mid-Market
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Promethium 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
    Insights
    4
    Analytics
    3
    Collaboration
    2
    Data Management
    2
    Data Visualization
    2
    Cons
    Complexity
    1
    Complex Usage
    1
    Difficult Learning
    1
    Lacking Features
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Promethium features and usability ratings that predict user satisfaction
    7.8
    Ease of Use
    Average: 8.6
    8.3
    Business and Data Glossary
    Average: 8.5
    9.6
    Metadata Management
    Average: 8.4
    9.2
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Menlo Park, US
    Twitter
    @PromethiumI
    372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architecture

Users
No information available
Industries
No information available
Market Segment
  • 46% Mid-Market
  • 31% Enterprise
Promethium 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
Insights
4
Analytics
3
Collaboration
2
Data Management
2
Data Visualization
2
Cons
Complexity
1
Complex Usage
1
Difficult Learning
1
Lacking Features
1
Limited Features
1
Promethium features and usability ratings that predict user satisfaction
7.8
Ease of Use
Average: 8.6
8.3
Business and Data Glossary
Average: 8.5
9.6
Metadata Management
Average: 8.4
9.2
Data Lineage
Average: 8.6
Seller Details
Year Founded
2018
HQ Location
Menlo Park, US
Twitter
@PromethiumI
372 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sidecar data catalog is a modern, intuitive and comprehensive tool to discover, classify and enrich all your data assets. Automatically index all the metadata in a centralized repository and provide a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • sidecar features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.6
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Geneva, CH
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Sidecar data catalog is a modern, intuitive and comprehensive tool to discover, classify and enrich all your data assets. Automatically index all the metadata in a centralized repository and provide a

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
sidecar features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2020
HQ Location
Geneva, CH
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing ent

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ThinkData Works features and usability ratings that predict user satisfaction
    9.7
    Ease of Use
    Average: 8.6
    10.0
    Business and Data Glossary
    Average: 8.5
    10.0
    Metadata Management
    Average: 8.4
    10.0
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Toronto, CA
    Twitter
    @thinkdataworks
    1,225 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing ent

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 33% Small-Business
ThinkData Works features and usability ratings that predict user satisfaction
9.7
Ease of Use
Average: 8.6
10.0
Business and Data Glossary
Average: 8.5
10.0
Metadata Management
Average: 8.4
10.0
Data Lineage
Average: 8.6
Seller Details
Year Founded
2014
HQ Location
Toronto, CA
Twitter
@thinkdataworks
1,225 Twitter followers
LinkedIn® Page
www.linkedin.com
19 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A data lineage management solution that automatically collects and analyzes data lineage of mission-critical data, visualizing data flow and derivation rule from data source to target.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataHawk features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.6
    7.5
    Business and Data Glossary
    Average: 8.5
    7.5
    Metadata Management
    Average: 8.4
    7.5
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Roseville, California
    Twitter
    @webridge1
    10 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A data lineage management solution that automatically collects and analyzes data lineage of mission-critical data, visualizing data flow and derivation rule from data source to target.

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Enterprise
DataHawk features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.6
7.5
Business and Data Glossary
Average: 8.5
7.5
Metadata Management
Average: 8.4
7.5
Data Lineage
Average: 8.6
Seller Details
Year Founded
2020
HQ Location
Roseville, California
Twitter
@webridge1
10 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data en

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 63% Enterprise
    • 21% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datameer features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.6
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datameer
    Year Founded
    2009
    HQ Location
    San Francisco, CA
    Twitter
    @datameer
    11,295 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    163 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data en

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 63% Enterprise
  • 21% Mid-Market
Datameer features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Datameer
Year Founded
2009
HQ Location
San Francisco, CA
Twitter
@datameer
11,295 Twitter followers
LinkedIn® Page
www.linkedin.com
163 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Intel(R) Machine Learning Scaling Library (Intel(R) MLSL) is a library providing an efficient implementation of communication patterns used in deep learning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Intel Machine Learning Scaling Library features and usability ratings that predict user satisfaction
    7.5
    Ease of Use
    Average: 8.6
    8.3
    Business and Data Glossary
    Average: 8.5
    8.3
    Metadata Management
    Average: 8.4
    10.0
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1968
    HQ Location
    Santa Clara, CA
    Twitter
    @intel
    4,475,576 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    110,978 employees on LinkedIn®
    Ownership
    NASDAQ:INTC
Product Description
How are these determined?Information
This description is provided by the seller.

Intel(R) Machine Learning Scaling Library (Intel(R) MLSL) is a library providing an efficient implementation of communication patterns used in deep learning.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Intel Machine Learning Scaling Library features and usability ratings that predict user satisfaction
7.5
Ease of Use
Average: 8.6
8.3
Business and Data Glossary
Average: 8.5
8.3
Metadata Management
Average: 8.4
10.0
Data Lineage
Average: 8.6
Seller Details
Year Founded
1968
HQ Location
Santa Clara, CA
Twitter
@intel
4,475,576 Twitter followers
LinkedIn® Page
www.linkedin.com
110,978 employees on LinkedIn®
Ownership
NASDAQ:INTC
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qlik Data Catalyst accelerates the transition towards modern data management by providing essential capabilities in four areas.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Mid-Market
    • 36% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qlik Catalog features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.6
    8.3
    Business and Data Glossary
    Average: 8.5
    10.0
    Metadata Management
    Average: 8.4
    9.2
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,589 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,564 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Qlik Data Catalyst accelerates the transition towards modern data management by providing essential capabilities in four areas.

Users
No information available
Industries
No information available
Market Segment
  • 36% Mid-Market
  • 36% Enterprise
Qlik Catalog features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.6
8.3
Business and Data Glossary
Average: 8.5
10.0
Metadata Management
Average: 8.4
9.2
Data Lineage
Average: 8.6
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,589 Twitter followers
LinkedIn® Page
www.linkedin.com
4,564 employees on LinkedIn®
Phone
1 (888) 994-9854
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spectrum Discovery, a powerful predictive analytics solution, helps create a clear picture of your client and identify areas rife with opportunity - and it does it in 3D.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Spectrum Discovery 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
    1
    Data Quality
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spectrum Discovery features and usability ratings that predict user satisfaction
    9.2
    Ease of Use
    Average: 8.6
    10.0
    Business and Data Glossary
    Average: 8.5
    7.5
    Metadata Management
    Average: 8.4
    10.0
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Precisely
    HQ Location
    Burlington, Massachusetts
    Twitter
    @PreciselyData
    3,993 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,938 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spectrum Discovery, a powerful predictive analytics solution, helps create a clear picture of your client and identify areas rife with opportunity - and it does it in 3D.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 42% Mid-Market
Spectrum Discovery 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
1
Data Quality
1
Cons
This product has not yet received any negative sentiments.
Spectrum Discovery features and usability ratings that predict user satisfaction
9.2
Ease of Use
Average: 8.6
10.0
Business and Data Glossary
Average: 8.5
7.5
Metadata Management
Average: 8.4
10.0
Data Lineage
Average: 8.6
Seller Details
Seller
Precisely
HQ Location
Burlington, Massachusetts
Twitter
@PreciselyData
3,993 Twitter followers
LinkedIn® Page
www.linkedin.com
2,938 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Binah.ai’s Health Data Platform is an AI-powered, video-based, software-only solution that transforms smartphones, tablets or personal computers into a health and wellness monitoring tool – just by th

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Binah.AI features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.6
    8.3
    Business and Data Glossary
    Average: 8.5
    6.7
    Metadata Management
    Average: 8.4
    6.7
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    binah.ai
    Year Founded
    2016
    HQ Location
    Boston, US
    Twitter
    @binah_ai
    684 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    54 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Binah.ai’s Health Data Platform is an AI-powered, video-based, software-only solution that transforms smartphones, tablets or personal computers into a health and wellness monitoring tool – just by th

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Binah.AI features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.6
8.3
Business and Data Glossary
Average: 8.5
6.7
Metadata Management
Average: 8.4
6.7
Data Lineage
Average: 8.6
Seller Details
Seller
binah.ai
Year Founded
2016
HQ Location
Boston, US
Twitter
@binah_ai
684 Twitter followers
LinkedIn® Page
www.linkedin.com
54 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BMC’s Catalog Manager for IMS is a no-charge offering that helps you be more efficient with the IMS Catalog and managed Application Control Blocks (ACBs) through a familiar interface and seamless inte

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Catalog Manager for IMS features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.6
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1980
    HQ Location
    Houston, TX
    Twitter
    @BMCSoftware
    48,231 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,064 employees on LinkedIn®
    Phone
    713 918 8800
Product Description
How are these determined?Information
This description is provided by the seller.

BMC’s Catalog Manager for IMS is a no-charge offering that helps you be more efficient with the IMS Catalog and managed Application Control Blocks (ACBs) through a familiar interface and seamless inte

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Catalog Manager for IMS features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1980
HQ Location
Houston, TX
Twitter
@BMCSoftware
48,231 Twitter followers
LinkedIn® Page
www.linkedin.com
9,064 employees on LinkedIn®
Phone
713 918 8800
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataedo is a comprehensive data governance platform designed for mid-sized organizations seeking to catalog, document, and manage their data assets efficiently. It provides a centralized, intuitive so

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataedo 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
    1
    Data Discovery
    1
    Data Governance
    1
    Data Visualization
    1
    Ease of Use
    1
    Cons
    Difficult Learning
    1
    Learning Curve
    1
    Limitations
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataedo features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.6
    10.0
    Business and Data Glossary
    Average: 8.5
    8.3
    Metadata Management
    Average: 8.4
    8.3
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataedo
    Year Founded
    2013
    HQ Location
    Raleigh, US
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataedo is a comprehensive data governance platform designed for mid-sized organizations seeking to catalog, document, and manage their data assets efficiently. It provides a centralized, intuitive so

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Dataedo 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
1
Data Discovery
1
Data Governance
1
Data Visualization
1
Ease of Use
1
Cons
Difficult Learning
1
Learning Curve
1
Limitations
1
Limited Customization
1
Dataedo features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.6
10.0
Business and Data Glossary
Average: 8.5
8.3
Metadata Management
Average: 8.4
8.3
Data Lineage
Average: 8.6
Seller Details
Seller
Dataedo
Year Founded
2013
HQ Location
Raleigh, US
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    erwin Data Catalog (erwin DC) is metadata management software that helps organizations learn what data they have and where it’s located, including data at rest and in motion.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • erwin Data Catalog features and usability ratings that predict user satisfaction
    9.2
    Ease of Use
    Average: 8.6
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1987
    HQ Location
    Aliso Viejo, CA
    Twitter
    @Quest
    17,202 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,607 employees on LinkedIn®
    Ownership
    NYSE: DGX
Product Description
How are these determined?Information
This description is provided by the seller.

erwin Data Catalog (erwin DC) is metadata management software that helps organizations learn what data they have and where it’s located, including data at rest and in motion.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Enterprise
erwin Data Catalog features and usability ratings that predict user satisfaction
9.2
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1987
HQ Location
Aliso Viejo, CA
Twitter
@Quest
17,202 Twitter followers
LinkedIn® Page
www.linkedin.com
3,607 employees on LinkedIn®
Ownership
NYSE: DGX
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 64% Mid-Market
    • 18% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SelectZero 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
    Customer Support
    2
    Features
    2
    Customer Experience
    1
    Ease of Use
    1
    Efficiency Improvement
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SelectZero features and usability ratings that predict user satisfaction
    9.5
    Ease of Use
    Average: 8.6
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    Estonia
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven

Users
No information available
Industries
  • Financial Services
Market Segment
  • 64% Mid-Market
  • 18% Enterprise
SelectZero 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
Customer Support
2
Features
2
Customer Experience
1
Ease of Use
1
Efficiency Improvement
1
Cons
This product has not yet received any negative sentiments.
SelectZero features and usability ratings that predict user satisfaction
9.5
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2020
HQ Location
Estonia
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Long Description Tree Schema democratizes access to metadata management for all companies, providing the essential capabilities required to effectively manage your data and enable your team to collabo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tree Schema Data Catalog features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Long Description Tree Schema democratizes access to metadata management for all companies, providing the essential capabilities required to effectively manage your data and enable your team to collabo

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Tree Schema Data Catalog features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
2 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: 8.6
    6.7
    Business and Data Glossary
    Average: 8.5
    6.7
    Metadata Management
    Average: 8.4
    8.3
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Carlton, Victoria, Australia
    Twitter
    @alex_solutions_
    91 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    108 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: 8.6
6.7
Business and Data Glossary
Average: 8.5
6.7
Metadata Management
Average: 8.4
8.3
Data Lineage
Average: 8.6
Seller Details
Year Founded
2016
HQ Location
Carlton, Victoria, Australia
Twitter
@alex_solutions_
91 Twitter followers
LinkedIn® Page
www.linkedin.com
108 employees on LinkedIn®