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Best Data Quality Tools with Database Capabilities

Below are the top-rated Data Quality Tools with Database capabilities, as verified by G2’s Research team. Real users have identified Database as an important function of Data Quality Tools. Compare different products that offer this feature so you can decide which is best for your business needs.
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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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22 Listings in Data Quality Available
(351)4.4 out of 5
8th Easiest To Use in Data Quality software
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ZoomInfo Operations is a sophisticated data management solution designed to assist organizations in optimizing their go-to-market (GTM) strategies by effectively managing sales and marketing data. Thi

    Users
    • Salesforce Administrator
    • Marketing Operations Manager
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 66% Mid-Market
    • 20% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ZoomInfo Operations 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
    24
    Data Accuracy
    23
    Automation
    21
    Lead Generation
    19
    Efficiency
    18
    Cons
    Inaccuracy Issues
    13
    Inaccurate Data
    11
    Learning Curve
    11
    Learning Difficulty
    11
    Expensive
    10
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ZoomInfo Operations features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.8
    8.9
    Automation
    Average: 8.7
    9.0
    Identification
    Average: 8.8
    8.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ZoomInfo
    Company Website
    Year Founded
    2000
    HQ Location
    Vancouver, WA
    Twitter
    @ZoomInfo
    23,509 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,353 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ZoomInfo Operations is a sophisticated data management solution designed to assist organizations in optimizing their go-to-market (GTM) strategies by effectively managing sales and marketing data. Thi

Users
  • Salesforce Administrator
  • Marketing Operations Manager
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 66% Mid-Market
  • 20% Small-Business
ZoomInfo Operations 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
24
Data Accuracy
23
Automation
21
Lead Generation
19
Efficiency
18
Cons
Inaccuracy Issues
13
Inaccurate Data
11
Learning Curve
11
Learning Difficulty
11
Expensive
10
ZoomInfo Operations features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.8
8.9
Automation
Average: 8.7
9.0
Identification
Average: 8.8
8.8
Preventative Cleaning
Average: 8.4
Seller Details
Seller
ZoomInfo
Company Website
Year Founded
2000
HQ Location
Vancouver, WA
Twitter
@ZoomInfo
23,509 Twitter followers
LinkedIn® Page
www.linkedin.com
4,353 employees on LinkedIn®
(54)4.0 out of 5
View top Consulting Services for Oracle Data Quality
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

    Users
    No information available
    Industries
    • Hospital & Health Care
    • Information Technology and Services
    Market Segment
    • 50% Enterprise
    • 28% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Data Quality features and usability ratings that predict user satisfaction
    8.4
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    8.6
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    821,243 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    198,071 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

Users
No information available
Industries
  • Hospital & Health Care
  • Information Technology and Services
Market Segment
  • 50% Enterprise
  • 28% Small-Business
Oracle Data Quality features and usability ratings that predict user satisfaction
8.4
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.7
9.2
Identification
Average: 8.8
8.6
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
821,243 Twitter followers
LinkedIn® Page
www.linkedin.com
198,071 employees on LinkedIn®
Ownership
NYSE:ORCL
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Small-Business
    • 29% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Microsoft Data Quality Services features and usability ratings that predict user satisfaction
    8.0
    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
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,084,563 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product.

Users
No information available
Industries
No information available
Market Segment
  • 53% Small-Business
  • 29% Mid-Market
Microsoft Data Quality Services features and usability ratings that predict user satisfaction
8.0
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,084,563 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projec

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 96% Enterprise
    • 26% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
    7.1
    Quality of Support
    Average: 8.8
    6.7
    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
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,739 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projec

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 96% Enterprise
  • 26% Mid-Market
IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 8.8
6.7
Automation
Average: 8.7
8.3
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,739 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(32)4.0 out of 5
View top Consulting Services for SAP Data Management
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these e

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 69% Enterprise
    • 22% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Data Management features and usability ratings that predict user satisfaction
    7.4
    Quality of Support
    Average: 8.8
    9.4
    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
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,310 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    138,451 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these e

Users
No information available
Industries
No information available
Market Segment
  • 69% Enterprise
  • 22% Mid-Market
SAP Data Management features and usability ratings that predict user satisfaction
7.4
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,310 Twitter followers
LinkedIn® Page
www.linkedin.com
138,451 employees on LinkedIn®
Ownership
NYSE:SAP
(74)4.7 out of 5
13th 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.

    Clean & Match Enterprise is the top-rated desktop platform for data quality management – powered with AI data matching for easy & efficient data cleaning, deduplication, & transformation.T

    Users
    No information available
    Industries
    • Marketing and Advertising
    • Health, Wellness and Fitness
    Market Segment
    • 43% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • WinPure Clean & Match 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 Quality
    1
    Duplicate Management
    1
    Ease of Use
    1
    Easy Access
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • WinPure Clean & Match features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.4
    Automation
    Average: 8.7
    9.4
    Identification
    Average: 8.8
    9.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    WinPure
    Year Founded
    2004
    HQ Location
    Theale, Berkshire
    Twitter
    @WinPure
    2,236 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clean & Match Enterprise is the top-rated desktop platform for data quality management – powered with AI data matching for easy & efficient data cleaning, deduplication, & transformation.T

Users
No information available
Industries
  • Marketing and Advertising
  • Health, Wellness and Fitness
Market Segment
  • 43% Small-Business
  • 35% Mid-Market
WinPure Clean & Match 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 Quality
1
Duplicate Management
1
Ease of Use
1
Easy Access
1
Cons
This product has not yet received any negative sentiments.
WinPure Clean & Match features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
9.4
Identification
Average: 8.8
9.8
Preventative Cleaning
Average: 8.4
Seller Details
Seller
WinPure
Year Founded
2004
HQ Location
Theale, Berkshire
Twitter
@WinPure
2,236 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Openprise is fueling the revolution in RevOps. Openprise automates critical RevOps processes to break down silos and align sales and marketing professionals and their technologies to deliver explosive

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Openprise 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
    Booking Efficiency
    1
    Data Management
    1
    Data Quality
    1
    Flexibility
    1
    Lead Generation
    1
    Cons
    Poor Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Openprise features and usability ratings that predict user satisfaction
    9.9
    Quality of Support
    Average: 8.8
    9.7
    Automation
    Average: 8.7
    9.3
    Identification
    Average: 8.8
    9.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Openprise
    Year Founded
    2014
    HQ Location
    San Mateo, CA
    Twitter
    @OpenpriseTech
    3,612 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    127 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Openprise is fueling the revolution in RevOps. Openprise automates critical RevOps processes to break down silos and align sales and marketing professionals and their technologies to deliver explosive

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Enterprise
  • 34% Mid-Market
Openprise 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
Booking Efficiency
1
Data Management
1
Data Quality
1
Flexibility
1
Lead Generation
1
Cons
Poor Navigation
1
Openprise features and usability ratings that predict user satisfaction
9.9
Quality of Support
Average: 8.8
9.7
Automation
Average: 8.7
9.3
Identification
Average: 8.8
9.8
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Openprise
Year Founded
2014
HQ Location
San Mateo, CA
Twitter
@OpenpriseTech
3,612 Twitter followers
LinkedIn® Page
www.linkedin.com
127 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica Data Quality is a comprehensive solution designed to help organizations ensure their data is accurate, complete, and reliable. By automating critical data quality tasks, it enables busines

    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
    99,951 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,337 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Informatica Data Quality is a comprehensive solution designed to help organizations ensure their data is accurate, complete, and reliable. By automating critical data quality tasks, it enables busines

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
99,951 Twitter followers
LinkedIn® Page
www.linkedin.com
5,337 employees on LinkedIn®
Ownership
NYSE: INFA
  • 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
  • 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
    33,062 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    895 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 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
33,062 Twitter followers
LinkedIn® Page
www.linkedin.com
895 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.

    The only de-duping tool that allows you to identify duplicates based on your own business rules. You select how to define a duplicate by setting up your own rules of identifying which record is going

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Small-Business
    • 30% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Data Deduplication Tool features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.8
    7.2
    Automation
    Average: 8.7
    6.1
    Identification
    Average: 8.8
    7.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Canada
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The only de-duping tool that allows you to identify duplicates based on your own business rules. You select how to define a duplicate by setting up your own rules of identifying which record is going

Users
No information available
Industries
No information available
Market Segment
  • 40% Small-Business
  • 30% Enterprise
Data Deduplication Tool features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.8
7.2
Automation
Average: 8.7
6.1
Identification
Average: 8.8
7.2
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2014
HQ Location
Canada
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.

    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
  • 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 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.

    Analyze and improve the quality of your data with Enlighten's complete data quality suite. Understand the state of your data and identify potential anomalies. Cleanse and normalize your data to your o

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Enlighten 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
    1968
    HQ Location
    Pittsburgh, Pennsylvania, United States
    LinkedIn® Page
    www.linkedin.com
    146 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Analyze and improve the quality of your data with Enlighten's complete data quality suite. Understand the state of your data and identify potential anomalies. Cleanse and normalize your data to your o

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Mid-Market
Enlighten 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
1968
HQ Location
Pittsburgh, Pennsylvania, United States
LinkedIn® Page
www.linkedin.com
146 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataCleaner is your comprehensive data quality Swiss army knife.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Human Inference DataCleaner 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
    Data Cleaning
    1
    Data Quality
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Human Inference DataCleaner features and usability ratings that predict user satisfaction
    8.3
    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
    Quadient
    Year Founded
    1924
    HQ Location
    Bagneux, France
    Twitter
    @Quadient
    3,903 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,008 employees on LinkedIn®
    Ownership
    EPA: QDT
Product Description
How are these determined?Information
This description is provided by the seller.

DataCleaner is your comprehensive data quality Swiss army knife.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Human Inference DataCleaner 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
Data Cleaning
1
Data Quality
1
Cons
This product has not yet received any negative sentiments.
Human Inference DataCleaner features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Quadient
Year Founded
1924
HQ Location
Bagneux, France
Twitter
@Quadient
3,903 Twitter followers
LinkedIn® Page
www.linkedin.com
4,008 employees on LinkedIn®
Ownership
EPA: QDT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    iugum Data Software helps Improve your data management software to cleanse, match and merge your lists, datasets or databases.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • iugum Data Software features and usability ratings that predict user satisfaction
    5.0
    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
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

iugum Data Software helps Improve your data management software to cleanse, match and merge your lists, datasets or databases.

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
iugum Data Software features and usability ratings that predict user satisfaction
5.0
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Blazent is a cloud-based IT data integrity engine that aggregates, reconciles and consolidates IT data.

    We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Blazent features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Blazent
    Year Founded
    2001
    HQ Location
    Livonia, US
    Twitter
    @Blazent
    1,804 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    45 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Blazent is a cloud-based IT data integrity engine that aggregates, reconciles and consolidates IT data.

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
Blazent features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Blazent
Year Founded
2001
HQ Location
Livonia, US
Twitter
@Blazent
1,804 Twitter followers
LinkedIn® Page
www.linkedin.com
45 employees on LinkedIn®