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Best Machine Learning Data Catalog Software - Page 4

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
(17)4.3 out of 5
View top Consulting Services for BigID
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage,

    Users
    • CEO
    • Founder
    Industries
    • Marketing and Advertising
    • Computer Software
    Market Segment
    • 41% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • BigID Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    AI Integration
    1
    Cloud Integration
    1
    Cloud Storage
    1
    Compliance
    1
    Compliance Management
    1
    Cons
    Banner Issues
    1
    Cookie Management
    1
    Data Management Issues
    1
    Expensive
    1
    Limited Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BigID features and usability ratings that predict user satisfaction
    7.8
    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
    BigID
    Year Founded
    2016
    HQ Location
    New York, New York
    Twitter
    @bigidsecure
    2,760 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    741 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage,

Users
  • CEO
  • Founder
Industries
  • Marketing and Advertising
  • Computer Software
Market Segment
  • 41% Small-Business
  • 35% Mid-Market
BigID Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
AI Integration
1
Cloud Integration
1
Cloud Storage
1
Compliance
1
Compliance Management
1
Cons
Banner Issues
1
Cookie Management
1
Data Management Issues
1
Expensive
1
Limited Functionality
1
BigID features and usability ratings that predict user satisfaction
7.8
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
BigID
Year Founded
2016
HQ Location
New York, New York
Twitter
@bigidsecure
2,760 Twitter followers
LinkedIn® Page
www.linkedin.com
741 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The eQube® Analytics Suite is an Analytics and Business Intelligence platform designed to empower end users with analytics capabilities. It processes streaming data, Big Data, and Data Lakes, providin

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • eQube® Analytics Suite features and usability ratings that predict user satisfaction
    6.7
    Ease of Use
    Average: 8.6
    8.3
    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
    2000
    HQ Location
    Costa Mesa, US
    Twitter
    @1eQTechnologic
    46 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    916 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The eQube® Analytics Suite is an Analytics and Business Intelligence platform designed to empower end users with analytics capabilities. It processes streaming data, Big Data, and Data Lakes, providin

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
eQube® Analytics Suite features and usability ratings that predict user satisfaction
6.7
Ease of Use
Average: 8.6
8.3
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
2000
HQ Location
Costa Mesa, US
Twitter
@1eQTechnologic
46 Twitter followers
LinkedIn® Page
www.linkedin.com
916 employees on LinkedIn®

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

    Global IDs is an innovative software company delivering purpose-built solutions for data-centric organizations. Global IDs is committed to helping organizations of any size solve business problems wit

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Global IDs Data Governance Platform features and usability ratings that predict user satisfaction
    6.7
    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
    2001
    HQ Location
    Princeton, US
    Twitter
    @GlobalIDs
    3,987 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    90 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Global IDs is an innovative software company delivering purpose-built solutions for data-centric organizations. Global IDs is committed to helping organizations of any size solve business problems wit

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Global IDs Data Governance Platform features and usability ratings that predict user satisfaction
6.7
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
2001
HQ Location
Princeton, US
Twitter
@GlobalIDs
3,987 Twitter followers
LinkedIn® Page
www.linkedin.com
90 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and acces

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 67% Enterprise
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Immuta 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
    Immuta
    Year Founded
    2015
    HQ Location
    Boston, Massachusetts
    Twitter
    @immuta
    38,328 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    205 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access. The Immuta Data Security Platform provides sensitive data discovery, security and acces

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 67% Enterprise
  • 20% Mid-Market
Immuta 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
Immuta
Year Founded
2015
HQ Location
Boston, Massachusetts
Twitter
@immuta
38,328 Twitter followers
LinkedIn® Page
www.linkedin.com
205 employees on LinkedIn®
(14)4.3 out of 5
View top Consulting Services for Informatica Cloud Data Governance and Catalog
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica Cloud Data Governance and Catalog is a comprehensive, cloud-native solution designed to empower organizations with predictive data intelligence. By integrating data discovery, cataloging,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 43% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Cloud Data Governance and Catalog features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.6
    10.0
    Business and Data Glossary
    Average: 8.5
    10.0
    Metadata Management
    Average: 8.4
    8.3
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,370 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Informatica Cloud Data Governance and Catalog is a comprehensive, cloud-native solution designed to empower organizations with predictive data intelligence. By integrating data discovery, cataloging,

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 43% Small-Business
Informatica Cloud Data Governance and Catalog features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.6
10.0
Business and Data Glossary
Average: 8.5
10.0
Metadata Management
Average: 8.4
8.3
Data Lineage
Average: 8.6
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,074 Twitter followers
LinkedIn® Page
www.linkedin.com
5,370 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica Enterprise Data Preparation empowers data scientists and data analysts to rapidly discover, enrich, cleanse, and govern data pipelines for faster insights.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Enterprise Data Preparation features and usability ratings that predict user satisfaction
    7.2
    Ease of Use
    Average: 8.6
    8.3
    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
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,370 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Informatica Enterprise Data Preparation empowers data scientists and data analysts to rapidly discover, enrich, cleanse, and govern data pipelines for faster insights.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 30% Small-Business
Informatica Enterprise Data Preparation features and usability ratings that predict user satisfaction
7.2
Ease of Use
Average: 8.6
8.3
Business and Data Glossary
Average: 8.5
8.3
Metadata Management
Average: 8.4
8.3
Data Lineage
Average: 8.6
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,074 Twitter followers
LinkedIn® Page
www.linkedin.com
5,370 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    LayerNext is the AI-powered Business Insight Generation platform. With LayerNext's proactive insights, decision-makers can move quickly and make confident, data-driven decisions. LayerNext seamlessly

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • LayerNext 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
    Accuracy
    1
    Analysis Efficiency
    1
    Analytics
    1
    Data Management
    1
    Data Visualization
    1
    Cons
    Annotation Issues
    1
    Lacking Features
    1
    Lack of Features
    1
    Limited Features
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LayerNext features and usability ratings that predict user satisfaction
    10.0
    Ease of Use
    Average: 8.6
    0.0
    No information available
    0.0
    No information available
    8.3
    Data Lineage
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

LayerNext is the AI-powered Business Insight Generation platform. With LayerNext's proactive insights, decision-makers can move quickly and make confident, data-driven decisions. LayerNext seamlessly

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
LayerNext 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
Accuracy
1
Analysis Efficiency
1
Analytics
1
Data Management
1
Data Visualization
1
Cons
Annotation Issues
1
Lacking Features
1
Lack of Features
1
Limited Features
1
Missing Features
1
LayerNext features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
8.3
Data Lineage
Average: 8.6
Seller Details
Year Founded
2022
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • PHEMI Health DataLab features and usability ratings that predict user satisfaction
    9.6
    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
    2013
    HQ Location
    Vancouver, CA
    Twitter
    @PHEMIsystems
    762 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.

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
PHEMI Health DataLab features and usability ratings that predict user satisfaction
9.6
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
2013
HQ Location
Vancouver, CA
Twitter
@PHEMIsystems
762 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Unlock the real power of your Data In today's data-driven landscape, the quality of your data is paramount. Poor data quality can lead to wrong business decisions, poor quality software or biased AI

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rudol 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
    Seller
    Rudol
    Year Founded
    2022
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Unlock the real power of your Data In today's data-driven landscape, the quality of your data is paramount. Poor data quality can lead to wrong business decisions, poor quality software or biased AI

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Rudol 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
Seller
Rudol
Year Founded
2022
HQ Location
N/A
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.

    Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date thr

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Data Catalog features and usability ratings that predict user satisfaction
    5.0
    Ease of Use
    Average: 8.6
    3.3
    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
    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.

Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date thr

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
Talend Data Catalog features and usability ratings that predict user satisfaction
5.0
Ease of Use
Average: 8.6
3.3
Business and Data Glossary
Average: 8.5
8.3
Metadata Management
Average: 8.4
10.0
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.

    Waterline Data Fingerprinting works by analyzing the data values in each data set and profiling the data. Waterline Data then uses that information to create a fingerprint for each column of data—usin

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Waterline Data Catalog features and usability ratings that predict user satisfaction
    10.0
    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
    2013
    HQ Location
    Mountain View, US
    Twitter
    @waterlinedata
    1,717 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Waterline Data Fingerprinting works by analyzing the data values in each data set and profiling the data. Waterline Data then uses that information to create a fingerprint for each column of data—usin

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Waterline Data Catalog features and usability ratings that predict user satisfaction
10.0
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
2013
HQ Location
Mountain View, US
Twitter
@waterlinedata
1,717 Twitter followers
LinkedIn® Page
www.linkedin.com
5 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Zaloni, we believe in the unrealized power of data. Our data management software, Arena, provides an augmented catalog that enables self-service data enrichment and consumption. We work with the wo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zaloni Data Governance 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
    Seller
    Zaloni
    Year Founded
    2007
    HQ Location
    Research Triangle Park, US
    Twitter
    @zaloni
    1,302 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Zaloni, we believe in the unrealized power of data. Our data management software, Arena, provides an augmented catalog that enables self-service data enrichment and consumption. We work with the wo

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Zaloni Data Governance 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
Seller
Zaloni
Year Founded
2007
HQ Location
Research Triangle Park, US
Twitter
@zaloni
1,302 Twitter followers
LinkedIn® Page
www.linkedin.com
62 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With Accurity, the all-in-one data intelligence platform, you get company-wide understanding and complete trust in your data - speed up business-critical decision making, increase your revenue, reduce

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Accurity Software Suite 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
    Accessibility
    1
    Automation
    1
    Collaboration
    1
    Compliance Management
    1
    Data Accuracy
    1
    Cons
    Difficult Setup
    1
    User Adoption Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Accurity Software Suite features and usability ratings that predict user satisfaction
    10.0
    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
    Simplity
    Year Founded
    2010
    HQ Location
    Prague, CZ
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With Accurity, the all-in-one data intelligence platform, you get company-wide understanding and complete trust in your data - speed up business-critical decision making, increase your revenue, reduce

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Accurity Software Suite 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
Accessibility
1
Automation
1
Collaboration
1
Compliance Management
1
Data Accuracy
1
Cons
Difficult Setup
1
User Adoption Difficulty
1
Accurity Software Suite features and usability ratings that predict user satisfaction
10.0
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Simplity
Year Founded
2010
HQ Location
Prague, CZ
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ataccama enables organizations to maximize the transformative potential of data and AI with Ataccama ONE, a unified, AI-powered data management platform for automated data quality, data governance, an

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Ataccama One 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
    1
    Customization
    1
    Customization Options
    1
    Ease of Use
    1
    User Interface
    1
    Cons
    Complexity
    1
    Difficult Learning
    1
    Difficulty Learning
    1
    Learning Curve
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Ataccama One features and usability ratings that predict user satisfaction
    8.7
    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
    Ataccama
    Year Founded
    2007
    HQ Location
    Toronto, Canada
    Twitter
    @ataccama
    3,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    430 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ataccama enables organizations to maximize the transformative potential of data and AI with Ataccama ONE, a unified, AI-powered data management platform for automated data quality, data governance, an

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 33% Mid-Market
Ataccama One 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
1
Customization
1
Customization Options
1
Ease of Use
1
User Interface
1
Cons
Complexity
1
Difficult Learning
1
Difficulty Learning
1
Learning Curve
1
Learning Difficulty
1
Ataccama One features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.6
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Ataccama
Year Founded
2007
HQ Location
Toronto, Canada
Twitter
@ataccama
3,117 Twitter followers
LinkedIn® Page
www.linkedin.com
430 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Binary Demand provides custom solutions to prevent wastage of your data by making up for its natural degradation. Its customised data solutions include standardisation, de-duping, cleansing, verificat

    We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Binary Demand 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
    Dubai, AE
    Twitter
    @BinaryDemand
    42 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Binary Demand provides custom solutions to prevent wastage of your data by making up for its natural degradation. Its customised data solutions include standardisation, de-duping, cleansing, verificat

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Binary Demand 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
Dubai, AE
Twitter
@BinaryDemand
42 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®