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Best Data Quality Tools - Page 7

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.

    Salesforce Deduplication | Smart Duplicate Manager - Salesforce Duplicate Management made easy - searches Duplicate Leads, Contacts and Accounts allowing to merge records one-by-one in enhanced way or

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Peeklogic Salesforce Duplicate Management 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
    Peeklogic
    Year Founded
    2015
    HQ Location
    Austin, US
    Twitter
    @peeklogic
    85 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    77 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Salesforce Deduplication | Smart Duplicate Manager - Salesforce Duplicate Management made easy - searches Duplicate Leads, Contacts and Accounts allowing to merge records one-by-one in enhanced way or

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Peeklogic Salesforce Duplicate Management 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
Peeklogic
Year Founded
2015
HQ Location
Austin, US
Twitter
@peeklogic
85 Twitter followers
LinkedIn® Page
www.linkedin.com
77 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TCS MasterCraft DataPlus is an integrated data management software for data privacy, test data management, data quality management, data analytics and database modeling. It is industry-agnostic, deliv

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TCS Mastercraft Data Plus 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
    Task Automation
    1
    Time-saving
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TCS Mastercraft Data Plus features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    7.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1968
    HQ Location
    Mumbai, Maharashtra
    Twitter
    @TCS
    576,883 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    685,179 employees on LinkedIn®
    Ownership
    NSE: TCS
Product Description
How are these determined?Information
This description is provided by the seller.

TCS MasterCraft DataPlus is an integrated data management software for data privacy, test data management, data quality management, data analytics and database modeling. It is industry-agnostic, deliv

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
TCS Mastercraft Data Plus 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
Task Automation
1
Time-saving
1
Cons
This product has not yet received any negative sentiments.
TCS Mastercraft Data Plus features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.7
9.2
Identification
Average: 8.8
7.5
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1968
HQ Location
Mumbai, Maharashtra
Twitter
@TCS
576,883 Twitter followers
LinkedIn® Page
www.linkedin.com
685,179 employees on LinkedIn®
Ownership
NSE: TCS

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

    ActivePrime provides innovative, automated customer intelligence solutions helping more than 120,000 users in 42 countries. Our data quality and fuzzy search technologies enable our customers to gener

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ActivePrime features and usability ratings that predict user satisfaction
    10.0
    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
    2001
    HQ Location
    Mountain View, US
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ActivePrime provides innovative, automated customer intelligence solutions helping more than 120,000 users in 42 countries. Our data quality and fuzzy search technologies enable our customers to gener

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
  • 50% Enterprise
ActivePrime features and usability ratings that predict user satisfaction
10.0
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
2001
HQ Location
Mountain View, US
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.

    AQA is a cloud-based tool that helps sales reps, project managers, and data analysts spot data errors, fast. AQA spots errors so your team can put them right and get back to what they do best, helping

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AQA 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
    Tool Power
    2
    Data Visualization
    1
    Ease of Use
    1
    Error Detection
    1
    Cons
    Data Management Issues
    1
    Inaccuracy Issues
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AQA features and usability ratings that predict user satisfaction
    6.7
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    7.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Godalming, GB
    LinkedIn® Page
    www.linkedin.com
    5 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AQA is a cloud-based tool that helps sales reps, project managers, and data analysts spot data errors, fast. AQA spots errors so your team can put them right and get back to what they do best, helping

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
AQA 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
Tool Power
2
Data Visualization
1
Ease of Use
1
Error Detection
1
Cons
Data Management Issues
1
Inaccuracy Issues
1
Limited Customization
1
AQA features and usability ratings that predict user satisfaction
6.7
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
10.0
Identification
Average: 8.8
7.5
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2021
HQ Location
Godalming, GB
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.

    Datactics provides AI-augmented self-service data quality and matching software, empowering CDOs, CIOs and data leaders to rapidly measure, match, report and fix data assets. Solutions are data-agno

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datactics Data Quality 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
    Analytics
    1
    Automation
    1
    Data Cleaning
    1
    Data Management
    1
    Data Quality
    1
    Cons
    Complex Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datactics Data Quality Suite features and usability ratings that predict user satisfaction
    6.7
    Quality of Support
    Average: 8.8
    6.7
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datactics
    Year Founded
    1999
    HQ Location
    Belfast, Northern Ireland, United Kingdom
    LinkedIn® Page
    www.linkedin.com
    44 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datactics provides AI-augmented self-service data quality and matching software, empowering CDOs, CIOs and data leaders to rapidly measure, match, report and fix data assets. Solutions are data-agno

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
  • 50% Mid-Market
Datactics Data Quality 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
Analytics
1
Automation
1
Data Cleaning
1
Data Management
1
Data Quality
1
Cons
Complex Setup
1
Datactics Data Quality Suite features and usability ratings that predict user satisfaction
6.7
Quality of Support
Average: 8.8
6.7
Automation
Average: 8.7
8.3
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Datactics
Year Founded
1999
HQ Location
Belfast, Northern Ireland, United Kingdom
LinkedIn® Page
www.linkedin.com
44 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Experian's Aperture Data Studio is a one-stop shop for you to build a consistent, accurate, holistic view of your consumer data. The data quality platform provides a scalable way to validate, cleanse,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Experian Aperture Data Studio features and usability ratings that predict user satisfaction
    10.0
    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
    Experian
    Year Founded
    1826
    HQ Location
    Dublin, Ireland
    Twitter
    @Experian_US
    38,482 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    24,829 employees on LinkedIn®
    Ownership
    LSE: EXPNL
Product Description
How are these determined?Information
This description is provided by the seller.

Experian's Aperture Data Studio is a one-stop shop for you to build a consistent, accurate, holistic view of your consumer data. The data quality platform provides a scalable way to validate, cleanse,

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Experian Aperture Data Studio features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Experian
Year Founded
1826
HQ Location
Dublin, Ireland
Twitter
@Experian_US
38,482 Twitter followers
LinkedIn® Page
www.linkedin.com
24,829 employees on LinkedIn®
Ownership
LSE: EXPNL
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Data360 DQ+ merges sophisticated data validation capabilities with self-service simplicity to enable users of any skillset to quickly and easily apply powerful checks to data sets. These include data

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Infogix Data360 DQ features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    6.7
    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.

Data360 DQ+ merges sophisticated data validation capabilities with self-service simplicity to enable users of any skillset to quickly and easily apply powerful checks to data sets. These include data

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Infogix Data360 DQ features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.3
Identification
Average: 8.8
6.7
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.

    Asset managers that typically use large amounts of data struggle with data arriving on time and without error. LeverData delivers monitored, validated and actionable data; empowering our clients to

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • LeverData features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    7.5
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    6.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    LeverData
    Year Founded
    2018
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Asset managers that typically use large amounts of data struggle with data arriving on time and without error. LeverData delivers monitored, validated and actionable data; empowering our clients to

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
LeverData features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
7.5
Automation
Average: 8.7
8.3
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
LeverData
Year Founded
2018
HQ Location
New York, US
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.

    Praxi Curation as a Service (CaaS) delivers rapid ROI through Cloud-native deployment - automating discovery, classification and action across structured, semi‑structured, and unstructured data. Pre‑t

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Praxi.ai - Automated Data Curation 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
    1
    Data Quality
    1
    Error Detection
    1
    Cons
    Poor Integration
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Praxi.ai - Automated Data Curation features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    8.3
    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
    Praxi
    Year Founded
    2018
    HQ Location
    San Mateo, US
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Praxi Curation as a Service (CaaS) delivers rapid ROI through Cloud-native deployment - automating discovery, classification and action across structured, semi‑structured, and unstructured data. Pre‑t

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Praxi.ai - Automated Data Curation 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
1
Data Quality
1
Error Detection
1
Cons
Poor Integration
1
Praxi.ai - Automated Data Curation features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
9.2
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Praxi
Year Founded
2018
HQ Location
San Mateo, US
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.

    SAS Data Quality Accelerator for Teradata is the ultimate way for Teradata customers to improve and maintain data quality. There's no need to extract your data for quality improvements – the process t

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Data Quality Accelerator for Teradata 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
    Analytics
    1
    Big Data Management
    1
    Data Quality
    1
    Insights
    1
    Performance Efficiency
    1
    Cons
    Poor Customer Support
    2
    Slow Performance
    2
    Complex Setup
    1
    Slow Loading
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Data Quality Accelerator for Teradata 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
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,236 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS Data Quality Accelerator for Teradata is the ultimate way for Teradata customers to improve and maintain data quality. There's no need to extract your data for quality improvements – the process t

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
SAS Data Quality Accelerator for Teradata 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
Analytics
1
Big Data Management
1
Data Quality
1
Insights
1
Performance Efficiency
1
Cons
Poor Customer Support
2
Slow Performance
2
Complex Setup
1
Slow Loading
1
SAS Data Quality Accelerator for Teradata 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
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,236 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    delivering customer intelligence

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
    • 50% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tresata 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
    Analytics
    1
    Automation
    1
    Data Centralization
    1
    Data Quality
    1
    Ease of Use
    1
    Cons
    Difficult Setup
    1
    Limited Flexibility
    1
    Limited Functionality
    1
    Small Business Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tresata features and usability ratings that predict user satisfaction
    6.7
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tresata
    Year Founded
    2011
    HQ Location
    Charlotte, US
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

delivering customer intelligence

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
  • 50% Mid-Market
Tresata 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
Analytics
1
Automation
1
Data Centralization
1
Data Quality
1
Ease of Use
1
Cons
Difficult Setup
1
Limited Flexibility
1
Limited Functionality
1
Small Business Limitations
1
Tresata features and usability ratings that predict user satisfaction
6.7
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.3
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Tresata
Year Founded
2011
HQ Location
Charlotte, US
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Zengines is a technology company that transforms how organizations handle data migrations and mainframe modernization by empowering business users and technical specialists alike with modern AI-powere

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Zengines 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
    Innovation
    2
    Communication
    1
    Customer Support
    1
    Data Management
    1
    Ease of Use
    1
    Cons
    Mapping Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zengines 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
    9.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zengines
    Year Founded
    2020
    HQ Location
    Bedford, US
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Zengines is a technology company that transforms how organizations handle data migrations and mainframe modernization by empowering business users and technical specialists alike with modern AI-powere

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Mid-Market
Zengines 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
Innovation
2
Communication
1
Customer Support
1
Data Management
1
Ease of Use
1
Cons
Mapping Issues
1
Zengines 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
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Zengines
Year Founded
2020
HQ Location
Bedford, US
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AI-powered platform solving data quality, governance, and compliance—in real-time and at scale.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Black Tiger Platform 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
    Compliance Management
    1
    Customer Support
    1
    Data Quality
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Black Tiger Platform features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    8.3
    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
    2015
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    159 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AI-powered platform solving data quality, governance, and compliance—in real-time and at scale.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Enterprise
Black Tiger Platform 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
Compliance Management
1
Customer Support
1
Data Quality
1
Cons
This product has not yet received any negative sentiments.
Black Tiger Platform features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
10.0
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2015
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
159 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A data platform that bundles critical data functionalities including data orchestration, quality checks, comprehensive documentation, and observability. This platform empowers users to efficiently ext

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Blast 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
    Datablast
    Year Founded
    2021
    HQ Location
    İstanbul
    Twitter
    @Datablast_io
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A data platform that bundles critical data functionalities including data orchestration, quality checks, comprehensive documentation, and observability. This platform empowers users to efficiently ext

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Blast 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
Datablast
Year Founded
2021
HQ Location
İstanbul
Twitter
@Datablast_io
1 Twitter followers
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.

    Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to ins

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 66% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Coginiti 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
    Efficiency Improvement
    3
    Customer Support
    2
    Data Management
    2
    Easy Setup
    2
    Cons
    Poor Documentation
    2
    Search Functionality
    2
    Limited Customization
    1
    Slow Performance
    1
    Training Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Coginiti features and usability ratings that predict user satisfaction
    8.7
    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
    2020
    HQ Location
    Atlanta , GA
    Twitter
    @coginiti
    71 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to ins

Users
No information available
Industries
No information available
Market Segment
  • 66% Enterprise
  • 28% Mid-Market
Coginiti 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
Efficiency Improvement
3
Customer Support
2
Data Management
2
Easy Setup
2
Cons
Poor Documentation
2
Search Functionality
2
Limited Customization
1
Slow Performance
1
Training Required
1
Coginiti features and usability ratings that predict user satisfaction
8.7
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
2020
HQ Location
Atlanta , GA
Twitter
@coginiti
71 Twitter followers
LinkedIn® Page
www.linkedin.com
30 employees on LinkedIn®