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Best Enterprise Data Quality Tools - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Data Quality category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Data Quality to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Data Quality category.

In addition to qualifying for inclusion in the Data Quality Tools category, to qualify for inclusion in the Enterprise Business Data Quality Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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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24 Listings in Enterprise Data Quality Tools Available

(41)4.4 out of 5
Optimized for quick response
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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.

    Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, A

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 49% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anomalo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Anomaly Detection
    1
    Automation
    1
    Ease of Use
    1
    Efficiency
    1
    Monitoring Ease
    1
    Cons
    Alert Management
    1
    Expensive
    1
    Inaccuracy Issues
    1
    Inefficient Alert System
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anomalo features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    7.8
    Automation
    Average: 8.7
    8.7
    Identification
    Average: 8.8
    6.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Anomalo
    Company Website
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @anomalo_hq
    542 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    101 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, A

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 49% Mid-Market
Anomalo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Anomaly Detection
1
Automation
1
Ease of Use
1
Efficiency
1
Monitoring Ease
1
Cons
Alert Management
1
Expensive
1
Inaccuracy Issues
1
Inefficient Alert System
1
Limited Features
1
Anomalo features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
7.8
Automation
Average: 8.7
8.7
Identification
Average: 8.8
6.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Anomalo
Company Website
Year Founded
2018
HQ Location
N/A
Twitter
@anomalo_hq
542 Twitter followers
LinkedIn® Page
www.linkedin.com
101 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
    3,623 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
3,623 Twitter followers
LinkedIn® Page
www.linkedin.com
131 employees on LinkedIn®

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(113)4.5 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Plauti keeps your CRM data accurate, complete, and ready for business. Verify, deduplicate, manipulate, and assign records automatically so your teams can trust their data and act fast. Because w

    Users
    No information available
    Industries
    • Non-Profit Organization Management
    • Computer Software
    Market Segment
    • 55% Mid-Market
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Plauti 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
    Duplicate Management
    15
    Ease of Use
    12
    Customization
    10
    Customer Support
    7
    Customizability
    7
    Cons
    Learning Curve
    5
    Complexity
    3
    Expensive
    2
    Limitations
    2
    Limited Functionality
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Plauti features and usability ratings that predict user satisfaction
    9.3
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.7
    8.7
    Identification
    Average: 8.8
    8.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Plauti
    Company Website
    Year Founded
    2011
    HQ Location
    Arnhem, Netherlands
    LinkedIn® Page
    www.linkedin.com
    58 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Plauti keeps your CRM data accurate, complete, and ready for business. Verify, deduplicate, manipulate, and assign records automatically so your teams can trust their data and act fast. Because w

Users
No information available
Industries
  • Non-Profit Organization Management
  • Computer Software
Market Segment
  • 55% Mid-Market
  • 35% Small-Business
Plauti 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
Duplicate Management
15
Ease of Use
12
Customization
10
Customer Support
7
Customizability
7
Cons
Learning Curve
5
Complexity
3
Expensive
2
Limitations
2
Limited Functionality
2
Plauti features and usability ratings that predict user satisfaction
9.3
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.7
8.7
Identification
Average: 8.8
8.5
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Plauti
Company Website
Year Founded
2011
HQ Location
Arnhem, Netherlands
LinkedIn® Page
www.linkedin.com
58 employees on LinkedIn®
(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
    2,245 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
2,245 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
(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
    297,341 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
297,341 Twitter followers
LinkedIn® Page
www.linkedin.com
135,108 employees on LinkedIn®
Ownership
NYSE:SAP
  • 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
    61,236 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 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
61,236 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
Phone
1-800-727-0025
(84)4.5 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Introhive is a leading Relationship Intelligence platform that empowers firms to break down data silos and gain actionable insights from their relationships to fuel collaboration and growth. With I

    Users
    No information available
    Industries
    • Legal Services
    • Accounting
    Market Segment
    • 49% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Introhive Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    2
    Ease of Use
    1
    Lead Generation
    1
    Sales Alignment
    1
    Cons
    Confusion
    1
    Difficult Learning Curve
    1
    Expensive
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Introhive features and usability ratings that predict user satisfaction
    9.1
    Quality of Support
    Average: 8.8
    8.6
    Automation
    Average: 8.7
    8.2
    Identification
    Average: 8.8
    8.4
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Introhive
    Company Website
    Year Founded
    2012
    HQ Location
    Fredericton
    Twitter
    @Introhive
    9,931 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    224 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Introhive is a leading Relationship Intelligence platform that empowers firms to break down data silos and gain actionable insights from their relationships to fuel collaboration and growth. With I

Users
No information available
Industries
  • Legal Services
  • Accounting
Market Segment
  • 49% Mid-Market
  • 35% Enterprise
Introhive Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
2
Ease of Use
1
Lead Generation
1
Sales Alignment
1
Cons
Confusion
1
Difficult Learning Curve
1
Expensive
1
Learning Curve
1
Introhive features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.8
8.6
Automation
Average: 8.7
8.2
Identification
Average: 8.8
8.4
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Introhive
Company Website
Year Founded
2012
HQ Location
Fredericton
Twitter
@Introhive
9,931 Twitter followers
LinkedIn® Page
www.linkedin.com
224 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

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

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

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

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

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Mid-Market
    • 30% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Open Studio features and usability ratings that predict user satisfaction
    7.6
    Quality of Support
    Average: 8.8
    8.5
    Automation
    Average: 8.7
    8.2
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,589 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,564 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Mid-Market
  • 30% Enterprise
Talend Open Studio features and usability ratings that predict user satisfaction
7.6
Quality of Support
Average: 8.8
8.5
Automation
Average: 8.7
8.2
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,589 Twitter followers
LinkedIn® Page
www.linkedin.com
4,564 employees on LinkedIn®
Phone
1 (888) 994-9854