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Best Data Quality Tools - Page 4

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

    Talend Data Quality has the potential to reduce costs, increase sales, and improve performance by making trusted data available in every style of integration. Talend Data Quality delivers trusted data

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Talend Data Quality 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 Accuracy
    1
    Data Cleaning
    1
    Data Quality
    1
    Duplicate Management
    1
    Ease of Use
    1
    Cons
    Not User-Friendly
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Data Quality features and usability ratings that predict user satisfaction
    7.5
    Quality of Support
    Average: 8.8
    7.4
    Automation
    Average: 8.7
    8.1
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • 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.

Talend Data Quality has the potential to reduce costs, increase sales, and improve performance by making trusted data available in every style of integration. Talend Data Quality delivers trusted data

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 32% Mid-Market
Talend Data Quality 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 Accuracy
1
Data Cleaning
1
Data Quality
1
Duplicate Management
1
Ease of Use
1
Cons
Not User-Friendly
1
Steep Learning Curve
1
Talend Data Quality features and usability ratings that predict user satisfaction
7.5
Quality of Support
Average: 8.8
7.4
Automation
Average: 8.7
8.1
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
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
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slow

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Soda 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
    7
    Ease of Use
    7
    Easy Integrations
    4
    Customization
    3
    Documentation
    3
    Cons
    Limited Functionality
    4
    Poor Documentation
    3
    Data Management Issues
    2
    Dependency Issues
    2
    Expensive
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Soda features and usability ratings that predict user satisfaction
    8.7
    Quality of Support
    Average: 8.8
    8.6
    Automation
    Average: 8.7
    8.7
    Identification
    Average: 8.8
    7.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Soda
    Year Founded
    2018
    HQ Location
    Brussels, BE
    Twitter
    @sodadata
    909 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    111 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slow

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Mid-Market
  • 40% Enterprise
Soda 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
7
Ease of Use
7
Easy Integrations
4
Customization
3
Documentation
3
Cons
Limited Functionality
4
Poor Documentation
3
Data Management Issues
2
Dependency Issues
2
Expensive
2
Soda features and usability ratings that predict user satisfaction
8.7
Quality of Support
Average: 8.8
8.6
Automation
Average: 8.7
8.7
Identification
Average: 8.8
7.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Soda
Year Founded
2018
HQ Location
Brussels, BE
Twitter
@sodadata
909 Twitter followers
LinkedIn® Page
www.linkedin.com
111 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.

    Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Telmai 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
    Anomaly Detection
    2
    Ease of Use
    2
    Machine Learning
    2
    Automation
    1
    Connectivity
    1
    Cons
    Difficult Learning Curve
    1
    Learning Difficulty
    1
    Limited Functionality
    1
    Poor User Experience
    1
    UX Improvement
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Telmai features and usability ratings that predict user satisfaction
    9.1
    Quality of Support
    Average: 8.8
    8.5
    Automation
    Average: 8.7
    8.9
    Identification
    Average: 8.8
    7.4
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Telmai
    Year Founded
    2020
    HQ Location
    San Mateo , Ca
    Twitter
    @telmai1
    101 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Enterprise
  • 35% Mid-Market
Telmai 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
Anomaly Detection
2
Ease of Use
2
Machine Learning
2
Automation
1
Connectivity
1
Cons
Difficult Learning Curve
1
Learning Difficulty
1
Limited Functionality
1
Poor User Experience
1
UX Improvement
1
Telmai features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.8
8.5
Automation
Average: 8.7
8.9
Identification
Average: 8.8
7.4
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Telmai
Year Founded
2020
HQ Location
San Mateo , Ca
Twitter
@telmai1
101 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloudingo solves the biggest problem with Salesforce and Marketo data: duplicate records. What’s unique about Cloudingo is its ability to comb through data to find duplicated records while giving you

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 76% Mid-Market
    • 16% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cloudingo 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
    Data Cleaning
    1
    Ease of Use
    1
    Efficiency
    1
    Training
    1
    Cons
    Slow Loading
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudingo features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    9.8
    Automation
    Average: 8.7
    9.5
    Identification
    Average: 8.8
    9.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2010
    HQ Location
    Dallas, TX
    Twitter
    @SymphonicSource
    270 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
    Phone
    (972) 241-1543
Product Description
How are these determined?Information
This description is provided by the seller.

Cloudingo solves the biggest problem with Salesforce and Marketo data: duplicate records. What’s unique about Cloudingo is its ability to comb through data to find duplicated records while giving you

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 76% Mid-Market
  • 16% Small-Business
Cloudingo 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
Data Cleaning
1
Ease of Use
1
Efficiency
1
Training
1
Cons
Slow Loading
1
Slow Performance
1
Cloudingo features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
9.8
Automation
Average: 8.7
9.5
Identification
Average: 8.8
9.7
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2010
HQ Location
Dallas, TX
Twitter
@SymphonicSource
270 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
Phone
(972) 241-1543
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Mid-Market
    • 22% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elementary 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
    Ease of Use
    8
    Features
    8
    Insights
    8
    Alerting System
    7
    Setup Ease
    7
    Cons
    Integration Issues
    6
    Database Integration Issues
    4
    Limited Features
    3
    Limited Integration
    3
    API Limitations
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elementary Data features and usability ratings that predict user satisfaction
    9.2
    Quality of Support
    Average: 8.8
    8.1
    Automation
    Average: 8.7
    9.0
    Identification
    Average: 8.8
    4.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    N/A
    Twitter
    @ElementaryData
    413 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    39 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when

Users
No information available
Industries
No information available
Market Segment
  • 56% Mid-Market
  • 22% Enterprise
Elementary 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
Ease of Use
8
Features
8
Insights
8
Alerting System
7
Setup Ease
7
Cons
Integration Issues
6
Database Integration Issues
4
Limited Features
3
Limited Integration
3
API Limitations
2
Elementary Data features and usability ratings that predict user satisfaction
9.2
Quality of Support
Average: 8.8
8.1
Automation
Average: 8.7
9.0
Identification
Average: 8.8
4.5
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2022
HQ Location
N/A
Twitter
@ElementaryData
413 Twitter followers
LinkedIn® Page
www.linkedin.com
39 employees on LinkedIn®
(48)4.6 out of 5
14th Easiest To Use in Data Quality software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OneSchema automates CSV & PDF workflows with AI. Enterprise operations, IT, and data engineering teams use OneSchema to replace brittle scripts and save countless hours of time manually cleaning m

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 44% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OneSchema 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
    Community Support
    1
    Customer Support
    1
    Customization
    1
    Ease of Use
    1
    Helpful
    1
    Cons
    Limited Customization
    1
    Poor Interface Design
    1
    Poor User Experience
    1
    UX Improvement
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OneSchema features and usability ratings that predict user satisfaction
    9.5
    Quality of Support
    Average: 8.8
    7.7
    Automation
    Average: 8.7
    8.1
    Identification
    Average: 8.8
    8.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OneSchema
    Year Founded
    2021
    HQ Location
    San Francisco, California
    Twitter
    @oneschema_co
    219 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    21 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OneSchema automates CSV & PDF workflows with AI. Enterprise operations, IT, and data engineering teams use OneSchema to replace brittle scripts and save countless hours of time manually cleaning m

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 44% Mid-Market
OneSchema 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
Community Support
1
Customer Support
1
Customization
1
Ease of Use
1
Helpful
1
Cons
Limited Customization
1
Poor Interface Design
1
Poor User Experience
1
UX Improvement
1
OneSchema features and usability ratings that predict user satisfaction
9.5
Quality of Support
Average: 8.8
7.7
Automation
Average: 8.7
8.1
Identification
Average: 8.8
8.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
OneSchema
Year Founded
2021
HQ Location
San Francisco, California
Twitter
@oneschema_co
219 Twitter followers
LinkedIn® Page
www.linkedin.com
21 employees on LinkedIn®
(17)4.6 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Convertr is the enterprise data integrity layer that ensures clean, compliant, and complete data flows across systems and teams to support AI-readiness. Global leaders like Microsoft, Oracle, Amazon,

    Users
    No information available
    Industries
    • Marketing and Advertising
    Market Segment
    • 41% Enterprise
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Convertr 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
    Lead Generation
    2
    Lead Management
    2
    Accuracy of Information
    1
    Automation Efficiency
    1
    Cons
    Admin Issues
    1
    Delays
    1
    Difficult Setup
    1
    Learning Curve
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Convertr features and usability ratings that predict user satisfaction
    8.8
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    9.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Convertr
    Company Website
    Year Founded
    2011
    HQ Location
    London, England, United Kingdom
    Twitter
    @convertr_io
    799 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    63 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Convertr is the enterprise data integrity layer that ensures clean, compliant, and complete data flows across systems and teams to support AI-readiness. Global leaders like Microsoft, Oracle, Amazon,

Users
No information available
Industries
  • Marketing and Advertising
Market Segment
  • 41% Enterprise
  • 41% Mid-Market
Convertr 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
Lead Generation
2
Lead Management
2
Accuracy of Information
1
Automation Efficiency
1
Cons
Admin Issues
1
Delays
1
Difficult Setup
1
Learning Curve
1
Learning Difficulty
1
Convertr features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.3
Identification
Average: 8.8
9.3
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Convertr
Company Website
Year Founded
2011
HQ Location
London, England, United Kingdom
Twitter
@convertr_io
799 Twitter followers
LinkedIn® Page
www.linkedin.com
63 employees on LinkedIn®
Entry Level Price:$300.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Delpha is an AI-driven data quality solution designed to help businesses ensure accurate and reliable customer data in Salesforce, which is essential for informed decision-making and enhanced operatio

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Delpha 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
    Easy Setup
    2
    Accuracy of Information
    1
    Customer Support
    1
    Data Quality
    1
    Ease of Use
    1
    Cons
    Poor Customer Support
    1
    Software Stability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Delpha features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    10.0
    Automation
    Average: 8.7
    9.7
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Delpha.io
    Company Website
    Year Founded
    2020
    HQ Location
    Paris, FR
    Twitter
    @Delphainc
    28 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Delpha is an AI-driven data quality solution designed to help businesses ensure accurate and reliable customer data in Salesforce, which is essential for informed decision-making and enhanced operatio

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 36% Enterprise
Delpha 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
Easy Setup
2
Accuracy of Information
1
Customer Support
1
Data Quality
1
Ease of Use
1
Cons
Poor Customer Support
1
Software Stability
1
Delpha features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
10.0
Automation
Average: 8.7
9.7
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Delpha.io
Company Website
Year Founded
2020
HQ Location
Paris, FR
Twitter
@Delphainc
28 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica LLC is the worlds number one independent provider of data integration software.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Informatica Data Quality 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
    Customization
    1
    Cons
    Difficult Learning Curve
    1
    Learning Difficulty
    1
    Training Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Data Quality features and usability ratings that predict user satisfaction
    7.7
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.8
    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 LLC is the worlds number one independent provider of data integration software.

Users
No information available
Industries
No information available
Market Segment
  • 58% Enterprise
  • 33% Mid-Market
Informatica Data Quality 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
Customization
1
Cons
Difficult Learning Curve
1
Learning Difficulty
1
Training Required
1
Informatica Data Quality features and usability ratings that predict user satisfaction
7.7
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.8
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.

    BiG EVAL is the leading test automator for data-centric projects such as data warehouses, ETL/ELT, data migrations and ERP or CRM implementations. With its ability to automatically test and verify d

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 47% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BiG EVAL features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.8
    Automation
    Average: 8.7
    9.7
    Identification
    Average: 8.8
    9.6
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BiG EVAL
    Year Founded
    2010
    HQ Location
    Kloten, ZH
    Twitter
    @BiGEVAL
    69 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BiG EVAL is the leading test automator for data-centric projects such as data warehouses, ETL/ELT, data migrations and ERP or CRM implementations. With its ability to automatically test and verify d

Users
No information available
Industries
No information available
Market Segment
  • 47% Mid-Market
  • 33% Enterprise
BiG EVAL features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.8
Automation
Average: 8.7
9.7
Identification
Average: 8.8
9.6
Preventative Cleaning
Average: 8.4
Seller Details
Seller
BiG EVAL
Year Founded
2010
HQ Location
Kloten, ZH
Twitter
@BiGEVAL
69 Twitter followers
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.

    DataTrust (formerly “RDt”) is what you need to ensure that you can rely on your data when making decisions. It's everything you need to for both data quality and data observability — profile data, au

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 38% Enterprise
    • 31% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DataTrust 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
    Time-saving
    2
    User Interface
    2
    Bug Detection
    1
    Customer Support
    1
    Cons
    Performance Issues
    2
    Slow Performance
    2
    Bug Issues
    1
    Complex Setup
    1
    Integration Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataTrust features and usability ratings that predict user satisfaction
    8.9
    Quality of Support
    Average: 8.8
    9.0
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    6.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    RightData
    Year Founded
    2016
    HQ Location
    Atlanta, US
    Twitter
    @GetRightData
    124 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    80 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DataTrust (formerly “RDt”) is what you need to ensure that you can rely on your data when making decisions. It's everything you need to for both data quality and data observability — profile data, au

Users
No information available
Industries
No information available
Market Segment
  • 38% Enterprise
  • 31% Mid-Market
DataTrust 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
Time-saving
2
User Interface
2
Bug Detection
1
Customer Support
1
Cons
Performance Issues
2
Slow Performance
2
Bug Issues
1
Complex Setup
1
Integration Issues
1
DataTrust features and usability ratings that predict user satisfaction
8.9
Quality of Support
Average: 8.8
9.0
Automation
Average: 8.7
9.2
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
RightData
Year Founded
2016
HQ Location
Atlanta, US
Twitter
@GetRightData
124 Twitter followers
LinkedIn® Page
www.linkedin.com
80 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OpenRefine is a tool for working with messy data: cleaning it, transforming it and extending it with web services and external data.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenRefine features and usability ratings that predict user satisfaction
    7.7
    Quality of Support
    Average: 8.8
    8.0
    Automation
    Average: 8.7
    9.3
    Identification
    Average: 8.8
    9.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @openRefine
    4,947 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OpenRefine is a tool for working with messy data: cleaning it, transforming it and extending it with web services and external data.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 25% Mid-Market
OpenRefine features and usability ratings that predict user satisfaction
7.7
Quality of Support
Average: 8.8
8.0
Automation
Average: 8.7
9.3
Identification
Average: 8.8
9.7
Preventative Cleaning
Average: 8.4
Seller Details
HQ Location
N/A
Twitter
@openRefine
4,947 Twitter followers
LinkedIn® Page
www.linkedin.com
4 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.

    Osmos is Agentic AI for your data estate. Clean, transform, validate, and pipeline your data—hands-free—with intelligent AI agents that work like teammates. Solutions include: Osmos AI Data Wran

    Users
    No information available
    Industries
    • Insurance
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Osmos 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 Learning
    2
    Ease of Use
    2
    Easy Setup
    2
    Simple
    2
    Time-saving
    2
    Cons
    Limited Flexibility
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Osmos features and usability ratings that predict user satisfaction
    9.5
    Quality of Support
    Average: 8.8
    9.7
    Automation
    Average: 8.7
    9.8
    Identification
    Average: 8.8
    9.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Osmos
    Year Founded
    2019
    HQ Location
    Seattle, US
    Twitter
    @osmosdata
    90 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    14 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Osmos is Agentic AI for your data estate. Clean, transform, validate, and pipeline your data—hands-free—with intelligent AI agents that work like teammates. Solutions include: Osmos AI Data Wran

Users
No information available
Industries
  • Insurance
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Osmos 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 Learning
2
Ease of Use
2
Easy Setup
2
Simple
2
Time-saving
2
Cons
Limited Flexibility
1
Osmos features and usability ratings that predict user satisfaction
9.5
Quality of Support
Average: 8.8
9.7
Automation
Average: 8.7
9.8
Identification
Average: 8.8
9.0
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Osmos
Year Founded
2019
HQ Location
Seattle, US
Twitter
@osmosdata
90 Twitter followers
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The modern, highly scalable ibi™ Omni-Gen® Data Integration Framework provides powerful data integration and cleansing technologies that ensure your data is timely, accurate, consistent, and accessibl

    Users
    No information available
    Industries
    • Banking
    Market Segment
    • 43% Enterprise
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ibi Omni-Gen Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    1
    Data Analysis
    1
    Data Integration
    1
    Data Management
    1
    Data Quality
    1
    Cons
    Data Limitations
    1
    Data Management Issues
    1
    Feature Limitations
    1
    Importing Issues
    1
    Inaccuracy
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ibi Omni-Gen features and usability ratings that predict user satisfaction
    8.8
    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
    Seller
    ibi
    Year Founded
    1975
    HQ Location
    Fort Lauderdale, FL
    Twitter
    @infobldrs
    33,138 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    888 employees on LinkedIn®
    Phone
    212-736-4433
Product Description
How are these determined?Information
This description is provided by the seller.

The modern, highly scalable ibi™ Omni-Gen® Data Integration Framework provides powerful data integration and cleansing technologies that ensure your data is timely, accurate, consistent, and accessibl

Users
No information available
Industries
  • Banking
Market Segment
  • 43% Enterprise
  • 38% Mid-Market
ibi Omni-Gen Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
1
Data Analysis
1
Data Integration
1
Data Management
1
Data Quality
1
Cons
Data Limitations
1
Data Management Issues
1
Feature Limitations
1
Importing Issues
1
Inaccuracy
1
ibi Omni-Gen features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
ibi
Year Founded
1975
HQ Location
Fort Lauderdale, FL
Twitter
@infobldrs
33,138 Twitter followers
LinkedIn® Page
www.linkedin.com
888 employees on LinkedIn®
Phone
212-736-4433
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Talends open source products and open architecture create unmatched flexibility so you can solve integration challenges your way.

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Mid-Market
    • 30% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Open Studio features and usability ratings that predict user satisfaction
    7.6
    Quality of Support
    Average: 8.8
    8.5
    Automation
    Average: 8.7
    8.2
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • 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.

Talends open source products and open architecture create unmatched flexibility so you can solve integration challenges your way.

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Mid-Market
  • 30% Enterprise
Talend Open Studio features and usability ratings that predict user satisfaction
7.6
Quality of Support
Average: 8.8
8.5
Automation
Average: 8.7
8.2
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
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