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Best Enterprise Data Quality Tools

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.

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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23 Listings in Enterprise Data Quality Tools Available

(406)4.4 out of 5
10th 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.

    Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 46% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Monte Carlo 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
    163
    Monitoring
    141
    Alerts
    132
    Alerting System
    97
    Customer Support
    87
    Cons
    Alert Management
    70
    Alert Overload
    70
    Inefficient Alert System
    63
    UX Improvement
    61
    Limited Features
    41
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    7.5
    Automation
    Average: 8.6
    8.1
    Identification
    Average: 8.8
    6.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,561 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    477 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Monte Carlo, the data + AI observability leader, enables enterprise organizations to drive mission-critical initiatives with trusted foundations. Nasdaq, Honeywell, Roche, and hundreds of leading orga

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 46% Mid-Market
Monte Carlo 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
163
Monitoring
141
Alerts
132
Alerting System
97
Customer Support
87
Cons
Alert Management
70
Alert Overload
70
Inefficient Alert System
63
UX Improvement
61
Limited Features
41
Monte Carlo features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
7.5
Automation
Average: 8.6
8.1
Identification
Average: 8.8
6.0
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,561 Twitter followers
LinkedIn® Page
www.linkedin.com
477 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

    Users
    • Statistical Programmer
    • Data Analyst
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 35% Enterprise
    • 32% Small-Business
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • SAS Viya is a data analytics platform that allows users to develop, visualize, and model data in a single, intuitive platform.
    • Reviewers appreciate the software's flexibility, its ability to handle large data sets, its integration with open-source technologies, and its user-friendly interface that requires little to no coding.
    • Reviewers noted that the platform can be complex for new users, its data preparation features are limited, the pricing can be vague, and the process to upload and read-in data could be easier.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Viya 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
    185
    Features
    132
    Analytics
    110
    Data Analysis
    85
    Performance Efficiency
    83
    Cons
    Learning Curve
    86
    Learning Difficulty
    83
    Complexity
    79
    Expensive
    64
    Difficult Learning
    63
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.6
    8.9
    Identification
    Average: 8.8
    8.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,528 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Organizations face increasing demands for high-powered analytics that produce fast, trustworthy results. Whether it’s providing teams of data scientists with advanced machine learning capabilities or

Users
  • Statistical Programmer
  • Data Analyst
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 35% Enterprise
  • 32% Small-Business
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • SAS Viya is a data analytics platform that allows users to develop, visualize, and model data in a single, intuitive platform.
  • Reviewers appreciate the software's flexibility, its ability to handle large data sets, its integration with open-source technologies, and its user-friendly interface that requires little to no coding.
  • Reviewers noted that the platform can be complex for new users, its data preparation features are limited, the pricing can be vague, and the process to upload and read-in data could be easier.
SAS Viya 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
185
Features
132
Analytics
110
Data Analysis
85
Performance Efficiency
83
Cons
Learning Curve
86
Learning Difficulty
83
Complexity
79
Expensive
64
Difficult Learning
63
SAS Viya features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.6
8.9
Identification
Average: 8.8
8.8
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,528 employees on LinkedIn®

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(54)4.0 out of 5
23rd Easiest To Use in Data Quality software
View top Consulting Services for Oracle Data Quality
Save to My Lists
  • 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: 8.6
    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
    822,135 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    204,855 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: 8.6
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
822,135 Twitter followers
LinkedIn® Page
www.linkedin.com
204,855 employees on LinkedIn®
Ownership
NYSE:ORCL
(96)4.3 out of 5
Optimized for quick response
29th Easiest To Use in Data Quality software
View top Consulting Services for Collibra
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying

    Users
    No information available
    Industries
    • Financial Services
    • Banking
    Market Segment
    • 74% Enterprise
    • 19% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Collibra 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
    Features
    11
    Ease of Use
    10
    Data Management
    8
    Customization
    7
    Integrations
    7
    Cons
    Limited Functionality
    6
    Missing Features
    5
    Improvement Needed
    4
    Integration Issues
    4
    User Interface Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Collibra features and usability ratings that predict user satisfaction
    8.2
    Quality of Support
    Average: 8.8
    7.8
    Automation
    Average: 8.6
    8.3
    Identification
    Average: 8.8
    7.1
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Collibra
    Company Website
    Year Founded
    2008
    HQ Location
    New York, New York
    Twitter
    @collibra
    5,744 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    995 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying

Users
No information available
Industries
  • Financial Services
  • Banking
Market Segment
  • 74% Enterprise
  • 19% Mid-Market
Collibra 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
Features
11
Ease of Use
10
Data Management
8
Customization
7
Integrations
7
Cons
Limited Functionality
6
Missing Features
5
Improvement Needed
4
Integration Issues
4
User Interface Issues
4
Collibra features and usability ratings that predict user satisfaction
8.2
Quality of Support
Average: 8.8
7.8
Automation
Average: 8.6
8.3
Identification
Average: 8.8
7.1
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Collibra
Company Website
Year Founded
2008
HQ Location
New York, New York
Twitter
@collibra
5,744 Twitter followers
LinkedIn® Page
www.linkedin.com
995 employees on LinkedIn®
(170)4.8 out of 5
15th Easiest To Use in Data Quality software
View top Consulting Services for dbt
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Mid-Market
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt 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
    29
    Features
    21
    Transformation
    16
    Easy Integrations
    12
    Integrations
    12
    Cons
    Feature Limitations
    9
    Missing Features
    8
    Learning Curve
    7
    Learning Difficulty
    7
    Limited Functionality
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.8
    Quality of Support
    Average: 8.8
    9.5
    Automation
    Average: 8.6
    8.4
    Identification
    Average: 8.8
    7.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dbt Labs
    Company Website
    Year Founded
    2016
    HQ Location
    Philadelphia, US
    Twitter
    @getdbt
    13,458 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    837 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Mid-Market
  • 24% Small-Business
dbt 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
29
Features
21
Transformation
16
Easy Integrations
12
Integrations
12
Cons
Feature Limitations
9
Missing Features
8
Learning Curve
7
Learning Difficulty
7
Limited Functionality
6
dbt features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.8
9.5
Automation
Average: 8.6
8.4
Identification
Average: 8.8
7.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
dbt Labs
Company Website
Year Founded
2016
HQ Location
Philadelphia, US
Twitter
@getdbt
13,458 Twitter followers
LinkedIn® Page
www.linkedin.com
837 employees on LinkedIn®
(271)4.5 out of 5
Optimized for quick response
5th Easiest To Use in Data Quality software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DemandTools is the secure data quality platform that ensures your data remains your most valuable asset. With DemandTools, you manage your CRM data in minutes, not months, so you always have accura

    Users
    • Salesforce Administrator
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 49% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DemandTools 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
    20
    Time-saving
    10
    Customer Support
    6
    Features
    6
    Automation
    4
    Cons
    Expensive
    3
    Learning Curve
    3
    Learning Difficulty
    2
    Limited Functionality
    2
    Missing Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DemandTools features and usability ratings that predict user satisfaction
    8.7
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.6
    9.1
    Identification
    Average: 8.8
    8.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2018
    HQ Location
    Boston, Massachusetts
    Twitter
    @TrustValidity
    1,152 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    320 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DemandTools is the secure data quality platform that ensures your data remains your most valuable asset. With DemandTools, you manage your CRM data in minutes, not months, so you always have accura

Users
  • Salesforce Administrator
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 49% Mid-Market
  • 33% Enterprise
DemandTools 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
20
Time-saving
10
Customer Support
6
Features
6
Automation
4
Cons
Expensive
3
Learning Curve
3
Learning Difficulty
2
Limited Functionality
2
Missing Features
2
DemandTools features and usability ratings that predict user satisfaction
8.7
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.6
9.1
Identification
Average: 8.8
8.8
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
Year Founded
2018
HQ Location
Boston, Massachusetts
Twitter
@TrustValidity
1,152 Twitter followers
LinkedIn® Page
www.linkedin.com
320 employees on LinkedIn®
(117)4.5 out of 5
Optimized for quick response
24th 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.

    Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 55% Mid-Market
    • 39% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Atlan 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
    26
    User Interface
    19
    Features
    17
    Data Lineage
    16
    Easy Setup
    13
    Cons
    Lacking Features
    7
    Limited Functionality
    7
    Integration Issues
    6
    Missing Features
    6
    Data Lineage Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    9.3
    Quality of Support
    Average: 8.8
    7.6
    Automation
    Average: 8.6
    7.6
    Identification
    Average: 8.8
    6.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,550 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    477 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 55% Mid-Market
  • 39% Enterprise
Atlan 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
26
User Interface
19
Features
17
Data Lineage
16
Easy Setup
13
Cons
Lacking Features
7
Limited Functionality
7
Integration Issues
6
Missing Features
6
Data Lineage Issues
5
Atlan features and usability ratings that predict user satisfaction
9.3
Quality of Support
Average: 8.8
7.6
Automation
Average: 8.6
7.6
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,550 Twitter followers
LinkedIn® Page
in.linkedin.com
477 employees on LinkedIn®
(1,835)4.4 out of 5
Optimized for quick response
14th Easiest To Use in Data Quality software
View top Consulting Services for Demandbase One
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Demandbase is the leading, enterprise-grade account-based GTM platform for sales and marketing teams designed to make every moment and every dollar count. Since creating the category in 2013, we h

    Users
    • Account Executive
    • Business Development Representative
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 49% Mid-Market
    • 32% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Demandbase is a platform that provides insights and data to help businesses optimize their outreach and track potential customers.
    • Reviewers like the platform's intuitive interface, extensive database, and AI-powered insights which generate meaningful conversations and accelerate deal flow, and appreciate the strong customer support.
    • Reviewers mentioned that the platform can be a bit expensive and overwhelming due to the amount of data, and some users reported issues with data accuracy and integration.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Demandbase One 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
    201
    Lead Generation
    188
    Intent Data
    169
    Insights
    168
    Integrations
    131
    Cons
    Learning Curve
    64
    Steep Learning Curve
    56
    Complexity
    44
    Learning Difficulty
    44
    Not Intuitive
    43
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Demandbase One features and usability ratings that predict user satisfaction
    8.8
    Quality of Support
    Average: 8.8
    9.0
    Automation
    Average: 8.6
    8.6
    Identification
    Average: 8.8
    8.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2005
    HQ Location
    San Francisco, CA
    Twitter
    @Demandbase
    21,623 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,010 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Demandbase is the leading, enterprise-grade account-based GTM platform for sales and marketing teams designed to make every moment and every dollar count. Since creating the category in 2013, we h

Users
  • Account Executive
  • Business Development Representative
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 49% Mid-Market
  • 32% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Demandbase is a platform that provides insights and data to help businesses optimize their outreach and track potential customers.
  • Reviewers like the platform's intuitive interface, extensive database, and AI-powered insights which generate meaningful conversations and accelerate deal flow, and appreciate the strong customer support.
  • Reviewers mentioned that the platform can be a bit expensive and overwhelming due to the amount of data, and some users reported issues with data accuracy and integration.
Demandbase One 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
201
Lead Generation
188
Intent Data
169
Insights
168
Integrations
131
Cons
Learning Curve
64
Steep Learning Curve
56
Complexity
44
Learning Difficulty
44
Not Intuitive
43
Demandbase One features and usability ratings that predict user satisfaction
8.8
Quality of Support
Average: 8.8
9.0
Automation
Average: 8.6
8.6
Identification
Average: 8.8
8.2
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
Year Founded
2005
HQ Location
San Francisco, CA
Twitter
@Demandbase
21,623 Twitter followers
LinkedIn® Page
www.linkedin.com
1,010 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica Cloud Data Quality empowers your company to take a holistic approach to managing data quality to quickly identify, fix, and monitor data quality problems in your business applications. The

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 180% Enterprise
    • 80% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Cloud Data Quality features and usability ratings that predict user satisfaction
    9.2
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.6
    8.3
    Identification
    Average: 8.8
    6.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    101,095 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,378 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Informatica Cloud Data Quality empowers your company to take a holistic approach to managing data quality to quickly identify, fix, and monitor data quality problems in your business applications. The

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 180% Enterprise
  • 80% Mid-Market
Informatica Cloud Data Quality features and usability ratings that predict user satisfaction
9.2
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.6
8.3
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
101,095 Twitter followers
LinkedIn® Page
www.linkedin.com
5,378 employees on LinkedIn®
Ownership
NYSE: INFA
(165)4.4 out of 5
28th Easiest To Use in Data Quality software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Hospital & Health Care
    Market Segment
    • 35% Enterprise
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Designer Cloud 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
    Connectivity
    2
    Connectors Quantity
    2
    Ease of Use
    2
    Features
    2
    Flexibility
    2
    Cons
    Limited Functionality
    3
    Limitations
    2
    Missing Features
    2
    Expensive
    1
    Lack of Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Designer Cloud features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.6
    8.8
    Identification
    Average: 8.8
    8.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,492 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,323 employees on LinkedIn®
    Ownership
    Private
Product Description
How are these determined?Information
This description is provided by the seller.

Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for a

Users
No information available
Industries
  • Information Technology and Services
  • Hospital & Health Care
Market Segment
  • 35% Enterprise
  • 35% Small-Business
Designer Cloud 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
Connectivity
2
Connectors Quantity
2
Ease of Use
2
Features
2
Flexibility
2
Cons
Limited Functionality
3
Limitations
2
Missing Features
2
Expensive
1
Lack of Functionality
1
Designer Cloud features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.6
8.8
Identification
Average: 8.8
8.5
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Alteryx
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,492 Twitter followers
LinkedIn® Page
www.linkedin.com
2,323 employees on LinkedIn®
Ownership
Private
(117)4.1 out of 5
Optimized for quick response
19th Easiest To Use in Data Quality software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Mid-Market
    • 29% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • D&B Connect 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
    23
    Ease of Use
    23
    Easy Integrations
    15
    Integrations
    15
    Accuracy of Information
    14
    Cons
    Expensive
    17
    Inaccurate Data
    11
    Inaccuracy Issues
    10
    Outdated Information
    9
    Data Inaccuracy
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • D&B Connect features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.6
    8.1
    Identification
    Average: 8.8
    8.4
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    Short Hills, NJ
    Twitter
    @DunBradstreet
    21,938 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,564 employees on LinkedIn®
    Ownership
    NYSE: DNB
Product Description
How are these determined?Information
This description is provided by the seller.

D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Mid-Market
  • 29% Small-Business
D&B Connect 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
23
Ease of Use
23
Easy Integrations
15
Integrations
15
Accuracy of Information
14
Cons
Expensive
17
Inaccurate Data
11
Inaccuracy Issues
10
Outdated Information
9
Data Inaccuracy
8
D&B Connect features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.6
8.1
Identification
Average: 8.8
8.4
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
HQ Location
Short Hills, NJ
Twitter
@DunBradstreet
21,938 Twitter followers
LinkedIn® Page
www.linkedin.com
5,564 employees on LinkedIn®
Ownership
NYSE: DNB
  • 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
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 96% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM InfoSphere Information Server 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
    Big Data Management
    1
    Data Integration
    1
    Data Lineage
    1
    Data Management
    1
    Data Quality
    1
    Cons
    Complexity
    1
    Complex Setup
    1
    Difficult Setup
    1
    Expensive
    1
    Expertise Required
    1
  • 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: 8.6
    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
    709,764 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    331,391 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
  • Information Technology and Services
  • Financial Services
Market Segment
  • 96% Enterprise
  • 26% Mid-Market
IBM InfoSphere Information Server 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
Big Data Management
1
Data Integration
1
Data Lineage
1
Data Management
1
Data Quality
1
Cons
Complexity
1
Complex Setup
1
Difficult Setup
1
Expensive
1
Expertise Required
1
IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
7.1
Quality of Support
Average: 8.8
6.7
Automation
Average: 8.6
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
709,764 Twitter followers
LinkedIn® Page
www.linkedin.com
331,391 employees on LinkedIn®
Ownership
SWX:IBM
(73)4.7 out of 5
7th Easiest To Use in Data Quality software
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  • 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
    • 42% Small-Business
    • 36% 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
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Slow Performance
    1
  • 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
    9.6
    Automation
    Average: 8.6
    9.3
    Identification
    Average: 8.8
    9.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    WinPure
    Year Founded
    2004
    HQ Location
    Theale, Berkshire
    Twitter
    @WinPure
    2,317 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
  • 42% Small-Business
  • 36% 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
Ease of Use
1
Easy Integrations
1
Cons
Slow Performance
1
WinPure Clean & Match features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.6
Automation
Average: 8.6
9.3
Identification
Average: 8.8
9.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
WinPure
Year Founded
2004
HQ Location
Theale, Berkshire
Twitter
@WinPure
2,317 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
(64)4.9 out of 5
20th 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.

    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: 8.6
    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
    3,647 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    132 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: 8.6
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
3,647 Twitter followers
LinkedIn® Page
www.linkedin.com
132 employees on LinkedIn®
  • 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
    14,002,464 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    237,523 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
14,002,464 Twitter followers
LinkedIn® Page
www.linkedin.com
237,523 employees on LinkedIn®
Ownership
MSFT
(316)4.3 out of 5
9th 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.

    ZoomInfo Operations is a comprehensive data quality management platform for operations teams to clean, enrich, and route their sales and marketing data. With no-code, automated data management engine,

    Users
    • Salesforce Administrator
    • Marketing Operations Manager
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 66% Mid-Market
    • 19% 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
    34
    Data Accuracy
    31
    Contact Information
    21
    Accurate Data
    20
    Lead Generation
    19
    Cons
    Inaccuracy Issues
    13
    Inaccurate Data
    12
    Data Quality
    11
    Outdated Information
    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
    9.0
    Automation
    Average: 8.6
    9.1
    Identification
    Average: 8.8
    8.9
    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
    23,648 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,390 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ZoomInfo Operations is a comprehensive data quality management platform for operations teams to clean, enrich, and route their sales and marketing data. With no-code, automated data management engine,

Users
  • Salesforce Administrator
  • Marketing Operations Manager
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 66% Mid-Market
  • 19% 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
34
Data Accuracy
31
Contact Information
21
Accurate Data
20
Lead Generation
19
Cons
Inaccuracy Issues
13
Inaccurate Data
12
Data Quality
11
Outdated Information
11
Expensive
10
ZoomInfo Operations features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.8
9.0
Automation
Average: 8.6
9.1
Identification
Average: 8.8
8.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
ZoomInfo
Company Website
Year Founded
2000
HQ Location
Vancouver, WA
Twitter
@ZoomInfo
23,648 Twitter followers
LinkedIn® Page
www.linkedin.com
4,390 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
    • 45% Enterprise
    • 27% 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
    Data Cleaning
    2
    Comprehensive Overview
    1
    Customer Support
    1
    Data Accuracy
    1
    Data Lineage
    1
    Cons
    Difficult Learning Curve
    1
    Expensive
    1
    Integration Issues
    1
    Not User-Friendly
    1
    Poor Interface Design
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Data Quality features and usability ratings that predict user satisfaction
    7.8
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.6
    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
    61,921 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,528 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
  • 45% Enterprise
  • 27% 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
Data Cleaning
2
Comprehensive Overview
1
Customer Support
1
Data Accuracy
1
Data Lineage
1
Cons
Difficult Learning Curve
1
Expensive
1
Integration Issues
1
Not User-Friendly
1
Poor Interface Design
1
SAS Data Quality features and usability ratings that predict user satisfaction
7.8
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.6
8.8
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,921 Twitter followers
LinkedIn® Page
www.linkedin.com
17,528 employees on LinkedIn®
Phone
1-800-727-0025
(111)4.5 out of 5
Optimized for quick response
18th 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.

    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
    No information available
    Market Segment
    • 54% Mid-Market
    • 36% 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
    16
    Ease of Use
    14
    Customization
    11
    Customer Support
    8
    Customizability
    8
    Cons
    Learning Curve
    5
    Complexity
    3
    Limitations
    3
    Limited Functionality
    3
    Expensive
    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: 8.6
    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
    56 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
No information available
Market Segment
  • 54% Mid-Market
  • 36% 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
16
Ease of Use
14
Customization
11
Customer Support
8
Customizability
8
Cons
Learning Curve
5
Complexity
3
Limitations
3
Limited Functionality
3
Expensive
2
Plauti features and usability ratings that predict user satisfaction
9.3
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.6
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
56 employees on LinkedIn®
(41)4.4 out of 5
Optimized for quick response
27th 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.

    The leader in enterprise data quality monitoring. Anomalo provides automated deep data quality monitoring and foundational data observability. With Anomalo, data teams and business stakeholders can de

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 49% Mid-Market
    • 49% Enterprise
  • 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: 8.6
    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
    538 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    79 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The leader in enterprise data quality monitoring. Anomalo provides automated deep data quality monitoring and foundational data observability. With Anomalo, data teams and business stakeholders can de

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 49% Mid-Market
  • 49% Enterprise
Anomalo features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
7.8
Automation
Average: 8.6
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
538 Twitter followers
LinkedIn® Page
www.linkedin.com
79 employees on LinkedIn®
(55)4.4 out of 5
22nd Easiest To Use in Data Quality software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Soda is the comprehensive data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues while uniting data producers and consumers in def

    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
    13
    Ease of Use
    12
    Easy Integrations
    6
    Features
    5
    Flexibility
    5
    Cons
    Limited Functionality
    5
    Data Management Issues
    3
    Dependency Issues
    3
    Integration Issues
    3
    Poor Documentation
    3
  • 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: 8.6
    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
    894 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    92 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Soda is the comprehensive data quality platform that offers end-to-end data quality management, enabling users to test, debug, and prevent data issues while uniting data producers and consumers in def

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
13
Ease of Use
12
Easy Integrations
6
Features
5
Flexibility
5
Cons
Limited Functionality
5
Data Management Issues
3
Dependency Issues
3
Integration Issues
3
Poor Documentation
3
Soda features and usability ratings that predict user satisfaction
8.7
Quality of Support
Average: 8.8
8.6
Automation
Average: 8.6
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
894 Twitter followers
LinkedIn® Page
www.linkedin.com
92 employees on LinkedIn®
(84)4.5 out of 5
Optimized for quick response
25th Easiest To Use in Data Quality software
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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
    • 48% 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
    3
    Ease of Use
    2
    Automation
    1
    Automation Features
    1
    Contact Information
    1
    Cons
    AI Limitations
    1
    Confusion
    1
    Contact Management
    1
    Data Inaccuracy
    1
    Difficult 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: 8.6
    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
    10,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226 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
  • 48% 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
3
Ease of Use
2
Automation
1
Automation Features
1
Contact Information
1
Cons
AI Limitations
1
Confusion
1
Contact Management
1
Data Inaccuracy
1
Difficult Learning Curve
1
Introhive features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.8
8.6
Automation
Average: 8.6
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
10,026 Twitter followers
LinkedIn® Page
www.linkedin.com
226 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Talend Open Studio 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
    This product has not yet received any positive sentiments.
    Cons
    Data Management Issues
    1
    Slow Performance
    1
    Software Stability
    1
    Training Required
    1
  • 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: 8.6
    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
    65,014 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,091 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 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
This product has not yet received any positive sentiments.
Cons
Data Management Issues
1
Slow Performance
1
Software Stability
1
Training Required
1
Talend Open Studio features and usability ratings that predict user satisfaction
7.6
Quality of Support
Average: 8.8
8.5
Automation
Average: 8.6
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
65,014 Twitter followers
LinkedIn® Page
www.linkedin.com
4,091 employees on LinkedIn®
Phone
1 (888) 994-9854
(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: 8.6
    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
    299,880 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    129,051 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: 8.6
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
299,880 Twitter followers
LinkedIn® Page
www.linkedin.com
129,051 employees on LinkedIn®
Ownership
NYSE:SAP