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Best Data Quality Tools - Page 6

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data quality tools analyze sets of information and identify incorrect, incomplete, or improperly formatted data. After profiling data concerns, data quality tools cleanse or correct that data based on previously established guidelines. Deletion, modification, appending, and merging are all common methods of data set cleansing or correction; data analysts, marketers, and salespeople are just a few positions that benefit from leveraging data quality solutions.

By targeting and cleaning data lists, data quality software allows businesses to establish and maintain high standards for data integrity. These solutions are also helpful for ensuring that data adheres to these standards, based on the required industry, market, or in-house regulations. This process of maintaining data integrity enhances the reliability of such information for business use. Data sets can range from customer contact information to granular financial statistics and much more.

Data quality software products may also share features or coexist with master data management (MDM) software, data integration software, or big data software. While tangentially related to data quality solutions from a functional standpoint, address verification software differs through its distinct use cases, focus on physical location data, and reliance on authoritative location data sourcing to verify correctness.

To qualify for inclusion in the Data Quality category, a product must:

Enable data profiling and identify data anomalies
Provide basic data cleansing functionalities like record merge, append, and delete
Allow data modification and standardization based on predefined rules
Allow automated and manual cleaning options
Offer preventive measures to preserve data integrity
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Featured Data Quality Tools At A Glance

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DataGroomr
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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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208 Listings in Data Quality Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Email Hippo provides fast, accurate and secure email verification software, accessed via web app or API. Check a list of up to 500,000 emails, or use our API to screen emails in real time to prevent

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 83% Small-Business
    • 17% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Email Hippo features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    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
    2015
    HQ Location
    Launceston, GB
    Twitter
    @Email_Hippo
    241 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.

Email Hippo provides fast, accurate and secure email verification software, accessed via web app or API. Check a list of up to 500,000 emails, or use our API to screen emails in real time to prevent

Users
No information available
Industries
No information available
Market Segment
  • 83% Small-Business
  • 17% Enterprise
Email Hippo features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2015
HQ Location
Launceston, GB
Twitter
@Email_Hippo
241 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.

    We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully ma

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Great Expectations Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Data Quality
    2
    Analytics
    1
    Automated Testing
    1
    Big Data Management
    1
    Cons
    Technical Expertise Required
    3
    Training Required
    3
    Complex Setup
    2
    Difficult Setup
    2
    Limited Functionality
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Great Expectations features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.8
    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
    2017
    HQ Location
    Remote, US
    Twitter
    @expectgreatdata
    3,596 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    47 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We're helping data teams have confidence in their data, no matter what. GX Cloud is our end-to-end platform for managing your data quality process. It delivers the intuitive experience of a fully ma

Users
No information available
Industries
No information available
Market Segment
  • 45% Mid-Market
  • 36% Small-Business
Great Expectations Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Data Quality
2
Analytics
1
Automated Testing
1
Big Data Management
1
Cons
Technical Expertise Required
3
Training Required
3
Complex Setup
2
Difficult Setup
2
Limited Functionality
2
Great Expectations features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2017
HQ Location
Remote, US
Twitter
@expectgreatdata
3,596 Twitter followers
LinkedIn® Page
www.linkedin.com
47 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.

    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
    7.8
    Quality of Support
    Average: 8.8
    7.5
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    9.2
    Preventative Cleaning
    Average: 8.4
  • 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
7.8
Quality of Support
Average: 8.8
7.5
Automation
Average: 8.7
8.3
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
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.

    Precisely Trillium is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources, and enterprise infrastructures – including the cloud. With data clea

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Enterprise
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Trillium Quality features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    10.0
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • 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.

Precisely Trillium is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources, and enterprise infrastructures – including the cloud. With data clea

Users
No information available
Industries
No information available
Market Segment
  • 80% Enterprise
  • 40% Mid-Market
Trillium Quality features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
10.0
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
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.

    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% Enterprise
  • 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
    8.9
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    7.2
    Preventative Cleaning
    Average: 8.4
  • 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% Enterprise
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
8.9
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.3
Identification
Average: 8.8
7.2
Preventative Cleaning
Average: 8.4
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®
(17)4.3 out of 5
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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
    7.5
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    7.5
    Preventative Cleaning
    Average: 8.4
  • 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
7.5
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.3
Identification
Average: 8.8
7.5
Preventative Cleaning
Average: 8.4
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®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    🌐 What is Impler? Impler is an open-source data import experience designed to simplify the process of bringing data into your systems. Whether you're building a startup or an enterprice app, Impler ca

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 44% Small-Business
    • 44% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Impler Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Data Integration
    2
    Easy Integrations
    2
    Performance Speed
    2
    Customization
    1
    Cons
    Limited Functionality
    2
    Complexity
    1
    Data Management Issues
    1
    Excel Issues
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Impler features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Surat
    Twitter
    @knovator
    61 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.

🌐 What is Impler? Impler is an open-source data import experience designed to simplify the process of bringing data into your systems. Whether you're building a startup or an enterprice app, Impler ca

Users
No information available
Industries
No information available
Market Segment
  • 44% Small-Business
  • 44% Mid-Market
Impler Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Data Integration
2
Easy Integrations
2
Performance Speed
2
Customization
1
Cons
Limited Functionality
2
Complexity
1
Data Management Issues
1
Excel Issues
1
Missing Features
1
Impler features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.7
10.0
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2017
HQ Location
Surat
Twitter
@knovator
61 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.

    At Match Data Pro, our core focus is data matching and entity resolution — but our platform goes far beyond that: We’ve built MDP to empower organizations with a smarter, scalable, and secure envir

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Match Data Pro 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 Cleaning
    3
    Ease of Use
    3
    Learning
    3
    Automation
    2
    Customer Support
    2
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Match Data Pro features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    10.0
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2023
    HQ Location
    Dover, US
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Match Data Pro, our core focus is data matching and entity resolution — but our platform goes far beyond that: We’ve built MDP to empower organizations with a smarter, scalable, and secure envir

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 25% Mid-Market
Match Data Pro 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 Cleaning
3
Ease of Use
3
Learning
3
Automation
2
Customer Support
2
Cons
This product has not yet received any negative sentiments.
Match Data Pro features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
10.0
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2023
HQ Location
Dover, US
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Seemore Data is the leading autonomous AI-powered agent for the modern data cloud. Seemore Data continuously tunes performance and spend across your full data stack - ETL, warehouse, and BI - turning

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Seemore Data 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
    Ease of Use
    7
    User Interface
    6
    Data Management
    3
    Efficiency Improvement
    3
    Cons
    Lineage Limitations
    4
    Data Management Issues
    3
    Not User-Friendly
    3
    Data Inaccuracy
    2
    Data Lineage Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Seemore Data features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    10.0
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2023
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Seemore Data is the leading autonomous AI-powered agent for the modern data cloud. Seemore Data continuously tunes performance and spend across your full data stack - ETL, warehouse, and BI - turning

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Seemore Data 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
Ease of Use
7
User Interface
6
Data Management
3
Efficiency Improvement
3
Cons
Lineage Limitations
4
Data Management Issues
3
Not User-Friendly
3
Data Inaccuracy
2
Data Lineage Issues
2
Seemore Data features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
10.0
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2023
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SqlDBM – The Standard for Modern Data Modeling in the Cloud + AI Era SqlDBM is redefining how enterprises architect, govern, and scale data infrastructure in a cloud-first world. As the only clo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SqlDBM 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
    6
    Integrations
    6
    Analytics
    5
    Easy Integrations
    5
    Features
    5
    Cons
    Feature Limitations
    3
    Missing Features
    2
    Complexity
    1
    Connectivity Issues
    1
    Data Management
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SqlDBM features and usability ratings that predict user satisfaction
    9.7
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.7
    7.8
    Identification
    Average: 8.8
    9.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SqlDBM
    Year Founded
    2017
    HQ Location
    San Diego, US
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SqlDBM – The Standard for Modern Data Modeling in the Cloud + AI Era SqlDBM is redefining how enterprises architect, govern, and scale data infrastructure in a cloud-first world. As the only clo

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 25% Mid-Market
SqlDBM 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
6
Integrations
6
Analytics
5
Easy Integrations
5
Features
5
Cons
Feature Limitations
3
Missing Features
2
Complexity
1
Connectivity Issues
1
Data Management
1
SqlDBM features and usability ratings that predict user satisfaction
9.7
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.7
7.8
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
SqlDBM
Year Founded
2017
HQ Location
San Diego, 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.

    Verdantis MDM Suite is an AI-powered platform purpose-built for MRO master data management. It addresses core challenges including data cleansing, deduplication, normalization, enrichment, and governa

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Enterprise
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Verdantis Master Data Management 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
    Ease of Use
    2
    Automation
    1
    Customization
    1
    Data Accuracy
    1
    Flexibility
    1
    Cons
    Difficult Setup
    2
    Complex Setup
    1
    Data Management Issues
    1
    Integration Issues
    1
    Poor Integration
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Verdantis Master Data Management Suite features and usability ratings that predict user satisfaction
    9.2
    Quality of Support
    Average: 8.8
    8.9
    Automation
    Average: 8.7
    9.4
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Verdantis
    Year Founded
    2004
    HQ Location
    Princeton, US
    LinkedIn® Page
    www.linkedin.com
    66 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Verdantis MDM Suite is an AI-powered platform purpose-built for MRO master data management. It addresses core challenges including data cleansing, deduplication, normalization, enrichment, and governa

Users
No information available
Industries
No information available
Market Segment
  • 75% Enterprise
  • 50% Mid-Market
Verdantis Master Data Management 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
Ease of Use
2
Automation
1
Customization
1
Data Accuracy
1
Flexibility
1
Cons
Difficult Setup
2
Complex Setup
1
Data Management Issues
1
Integration Issues
1
Poor Integration
1
Verdantis Master Data Management Suite features and usability ratings that predict user satisfaction
9.2
Quality of Support
Average: 8.8
8.9
Automation
Average: 8.7
9.4
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Verdantis
Year Founded
2004
HQ Location
Princeton, US
LinkedIn® Page
www.linkedin.com
66 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Comprehensive End-to-End Data Validation Platform. A platform for automating Data Integration and Data Management projects. Seamless Data Pipeline & BI Testing Automation Powered by AI Product

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Enterprise
    • 20% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datagaps DataOps 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
    Data Quality
    2
    Implementation Ease
    2
    Configuration Ease
    1
    Connectivity
    1
    Customer Support
    1
    Cons
    Complex Setup
    1
    Difficult Setup
    1
    Not User-Friendly
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datagaps DataOps Suite features and usability ratings that predict user satisfaction
    9.2
    Quality of Support
    Average: 8.8
    8.9
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    9.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datagaps
    Year Founded
    2010
    HQ Location
    Herndon, US
    Twitter
    @datagaps
    52 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    96 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Comprehensive End-to-End Data Validation Platform. A platform for automating Data Integration and Data Management projects. Seamless Data Pipeline & BI Testing Automation Powered by AI Product

Users
No information available
Industries
No information available
Market Segment
  • 80% Enterprise
  • 20% Mid-Market
Datagaps DataOps 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
Data Quality
2
Implementation Ease
2
Configuration Ease
1
Connectivity
1
Customer Support
1
Cons
Complex Setup
1
Difficult Setup
1
Not User-Friendly
1
Datagaps DataOps Suite features and usability ratings that predict user satisfaction
9.2
Quality of Support
Average: 8.8
8.9
Automation
Average: 8.7
9.2
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Datagaps
Year Founded
2010
HQ Location
Herndon, US
Twitter
@datagaps
52 Twitter followers
LinkedIn® Page
www.linkedin.com
96 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DISQOVER is a knowledge discovery platform that links siloed data using knowledge graph and semantic technologies, helping life sciences organizations accelerate their drug development activities. Use

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DISQOVER Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    3
    Search Functionality
    2
    Understanding
    2
    Comprehensive Data
    1
    Data Accuracy
    1
    Cons
    Complexity
    2
    Complex Organization
    1
    Complex Usage
    1
    Data Handling
    1
    Data Management
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DISQOVER features and usability ratings that predict user satisfaction
    8.8
    Quality of Support
    Average: 8.8
    7.8
    Automation
    Average: 8.7
    7.8
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ONTOFORCE
    Year Founded
    2011
    HQ Location
    Ghent, BE
    LinkedIn® Page
    www.linkedin.com
    36 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DISQOVER is a knowledge discovery platform that links siloed data using knowledge graph and semantic technologies, helping life sciences organizations accelerate their drug development activities. Use

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
DISQOVER Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
3
Search Functionality
2
Understanding
2
Comprehensive Data
1
Data Accuracy
1
Cons
Complexity
2
Complex Organization
1
Complex Usage
1
Data Handling
1
Data Management
1
DISQOVER features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.8
7.8
Automation
Average: 8.7
7.8
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Seller
ONTOFORCE
Year Founded
2011
HQ Location
Ghent, BE
LinkedIn® Page
www.linkedin.com
36 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Duco is a leading data automation company that helps businesses to unleash their potential by removing the friction around data. Over 10,000 users across 30+ countries process billions of data records

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Duco features and usability ratings that predict user satisfaction
    3.3
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    5.0
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Duco
    Year Founded
    2010
    HQ Location
    London, GB
    Twitter
    @ducotweets
    530 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    255 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Duco is a leading data automation company that helps businesses to unleash their potential by removing the friction around data. Over 10,000 users across 30+ countries process billions of data records

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
Duco features and usability ratings that predict user satisfaction
3.3
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
5.0
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Duco
Year Founded
2010
HQ Location
London, GB
Twitter
@ducotweets
530 Twitter followers
LinkedIn® Page
www.linkedin.com
255 employees on LinkedIn®
Entry Level Price:$0
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OpenDQ 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
    Automation
    1
    Ease of Implementation
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Poor Documentation
    2
    Data Management Issues
    1
    Integration Issues
    1
    Poor Integration
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenDQ features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    10.0
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2003
    HQ Location
    Princeton, US
    Twitter
    @InfosolveTech
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs.

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 40% Small-Business
OpenDQ 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
Automation
1
Ease of Implementation
1
Ease of Use
1
Easy Integrations
1
Cons
Poor Documentation
2
Data Management Issues
1
Integration Issues
1
Poor Integration
1
OpenDQ features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
10.0
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2003
HQ Location
Princeton, US
Twitter
@InfosolveTech
1 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®