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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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26 Listings in Data Quality Available
(350)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
    25
    Data Accuracy
    24
    Automation
    22
    Lead Generation
    19
    Efficiency
    18
    Cons
    Inaccuracy Issues
    13
    Learning Curve
    12
    Learning Difficulty
    12
    Inaccurate Data
    11
    Steep Learning Curve
    11
  • 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
    23,538 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,387 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
25
Data Accuracy
24
Automation
22
Lead Generation
19
Efficiency
18
Cons
Inaccuracy Issues
13
Learning Curve
12
Learning Difficulty
12
Inaccurate Data
11
Steep Learning Curve
11
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
23,538 Twitter followers
LinkedIn® Page
www.linkedin.com
4,387 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
    820,999 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    197,850 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
820,999 Twitter followers
LinkedIn® Page
www.linkedin.com
197,850 employees on LinkedIn®
Ownership
NYSE:ORCL

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  • Overview
    Expand/Collapse Overview
  • 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
    13,105,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 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
13,105,074 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 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
    709,128 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
709,128 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
    297,327 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135,108 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
297,327 Twitter followers
LinkedIn® Page
www.linkedin.com
135,108 employees on LinkedIn®
Ownership
NYSE:SAP
(74)4.7 out of 5
11th 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
    2,243 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 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
2,243 Twitter followers
LinkedIn® Page
www.linkedin.com
11 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
    3,625 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    131 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
3,625 Twitter followers
LinkedIn® Page
www.linkedin.com
131 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS Data Quality meets you where you are, addressing your data quality issues without requiring you to move your data.

    Users
    No information available
    Industries
    • Research
    • Higher Education
    Market Segment
    • 51% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS 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
    Integrations
    2
    Analytics
    1
    Ease of Use
    1
    Helpful
    1
    Cons
    Learning Curve
    1
    Not User-Friendly
    1
    Poor Customer Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Data Quality features and usability ratings that predict user satisfaction
    7.5
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.7
    8.8
    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
    61,226 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 meets you where you are, addressing your data quality issues without requiring you to move your data.

Users
No information available
Industries
  • Research
  • Higher Education
Market Segment
  • 51% Enterprise
  • 31% Small-Business
SAS 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
Integrations
2
Analytics
1
Ease of Use
1
Helpful
1
Cons
Learning Curve
1
Not User-Friendly
1
Poor Customer Support
1
SAS Data Quality features and usability ratings that predict user satisfaction
7.5
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.7
8.8
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,226 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.

    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
    64,578 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
64,578 Twitter followers
LinkedIn® Page
www.linkedin.com
4,564 employees on LinkedIn®
Phone
1 (888) 994-9854
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
    100,089 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
100,089 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.

    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
    33,136 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 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
33,136 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
    64,578 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
64,578 Twitter followers
LinkedIn® Page
www.linkedin.com
4,564 employees on LinkedIn®
Phone
1 (888) 994-9854
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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.

    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
    61,226 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
61,226 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
Phone
1-800-727-0025