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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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22 Listings in Enterprise Data Quality Tools Available

(356)4.4 out of 5
9th 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.

    As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 47% Mid-Market
    • 47% Enterprise
  • 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
    150
    Monitoring
    121
    Alerts
    104
    Customer Support
    85
    Alerting System
    79
    Cons
    Alert Overload
    59
    Poor User Interface
    55
    Alert Management
    54
    Inefficient Alert System
    53
    Missing Features
    39
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Monte Carlo features and usability ratings that predict user satisfaction
    9.1
    Quality of Support
    Average: 8.8
    7.4
    Automation
    Average: 8.7
    8.1
    Identification
    Average: 8.8
    6.1
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    HQ Location
    San Francisco, US
    Twitter
    @montecarlodata
    1,555 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    400 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

As businesses increasingly rely on data to power digital products and drive better decision making, it’s mission-critical that this data is accurate and reliable. Monte Carlo’s Data Observability Plat

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 47% Mid-Market
  • 47% Enterprise
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
150
Monitoring
121
Alerts
104
Customer Support
85
Alerting System
79
Cons
Alert Overload
59
Poor User Interface
55
Alert Management
54
Inefficient Alert System
53
Missing Features
39
Monte Carlo features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.8
7.4
Automation
Average: 8.7
8.1
Identification
Average: 8.8
6.1
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
HQ Location
San Francisco, US
Twitter
@montecarlodata
1,555 Twitter followers
LinkedIn® Page
www.linkedin.com
400 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
    • Biostatistician
    Industries
    • Pharmaceuticals
    • Banking
    Market Segment
    • 34% Enterprise
    • 33% Mid-Market
    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 analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
    • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
    • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
  • 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
    269
    Features
    167
    Analytics
    136
    Data Analysis
    112
    Performance Efficiency
    108
    Cons
    Learning Curve
    116
    Learning Difficulty
    106
    Complexity
    102
    Difficult Learning
    83
    Expensive
    82
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Viya features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    9.1
    Automation
    Average: 8.7
    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
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 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
  • Biostatistician
Industries
  • Pharmaceuticals
  • Banking
Market Segment
  • 34% Enterprise
  • 33% Mid-Market
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 analysis platform that allows users to switch between low-code/no-code and hands-on coding to engineer, model, and analyze data.
  • Reviewers appreciate SAS Viya's ability to handle big data, its user-friendly interface, its integration with open-source languages like Python, R, and Java, and its efficient automation of programming tasks.
  • Users mentioned that SAS Viya has a steep learning curve, can be expensive compared to open-source alternatives, may require significant infrastructure for optimal performance, and lacks the flexibility of open-source tools for highly customized solutions.
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
269
Features
167
Analytics
136
Data Analysis
112
Performance Efficiency
108
Cons
Learning Curve
116
Learning Difficulty
106
Complexity
102
Difficult Learning
83
Expensive
82
SAS Viya features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
9.1
Automation
Average: 8.7
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
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®

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(63)4.1 out of 5
View top Consulting Services for Oracle Data Quality
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Hospital & Health Care
    • Information Technology and Services
    Market Segment
    • 43% Enterprise
    • 24% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Oracle 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
    10
    Data Quality
    10
    Data Accuracy
    7
    Ease of Use
    5
    Easy Integrations
    5
    Cons
    Expensive
    9
    Steep Learning Curve
    8
    Complexity
    5
    Integration Issues
    3
    Limited Customization
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Data Quality features and usability ratings that predict user satisfaction
    8.4
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    8.6
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,139 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 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
  • 43% Enterprise
  • 24% Small-Business
Oracle 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
10
Data Quality
10
Data Accuracy
7
Ease of Use
5
Easy Integrations
5
Cons
Expensive
9
Steep Learning Curve
8
Complexity
5
Integration Issues
3
Limited Customization
3
Oracle Data Quality features and usability ratings that predict user satisfaction
8.4
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.7
9.2
Identification
Average: 8.8
8.6
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,139 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 employees on LinkedIn®
Ownership
NYSE:ORCL
(116)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.

    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
    • 54% Mid-Market
    • 40% 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
    32
    User Interface
    25
    Features
    20
    Data Lineage
    19
    User Experience
    18
    Cons
    Limited Functionality
    11
    Missing Features
    11
    Lacking Features
    10
    Integration Issues
    7
    Data Lineage Issues
    6
  • 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: 8.7
    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
    9,421 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    434 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
  • 54% Mid-Market
  • 40% 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
32
User Interface
25
Features
20
Data Lineage
19
User Experience
18
Cons
Limited Functionality
11
Missing Features
11
Lacking Features
10
Integration Issues
7
Data Lineage Issues
6
Atlan features and usability ratings that predict user satisfaction
9.3
Quality of Support
Average: 8.8
7.6
Automation
Average: 8.7
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
9,421 Twitter followers
LinkedIn® Page
in.linkedin.com
434 employees on LinkedIn®
(1,710)4.4 out of 5
Optimized for quick response
11th 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
    • 51% Mid-Market
    • 31% 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 One is a platform that provides resources for tracking performance, customizing outreach, and identifying high-value accounts, with a focus on account-based marketing.
    • Users like the platform's ability to provide granular insights and personalized targeting capabilities, its robust data analytics, and its comprehensive reporting tools which significantly improve lead generation and engagement rates.
    • Reviewers experienced issues with the platform's complexity and navigability, some found its integration with existing systems not seamless, and others mentioned limitations with the advertising platform and the accuracy of some data.
  • 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
    167
    Intent Data
    141
    Insights
    124
    Lead Generation
    112
    Intent Analysis
    94
    Cons
    Learning Curve
    48
    Steep Learning Curve
    38
    Complexity
    36
    Data Management
    35
    Missing Features
    35
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Demandbase One features and usability ratings that predict user satisfaction
    8.7
    Quality of Support
    Average: 8.8
    9.1
    Automation
    Average: 8.7
    8.5
    Identification
    Average: 8.8
    8.1
    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
    21,833 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    981 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
  • 51% Mid-Market
  • 31% 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 One is a platform that provides resources for tracking performance, customizing outreach, and identifying high-value accounts, with a focus on account-based marketing.
  • Users like the platform's ability to provide granular insights and personalized targeting capabilities, its robust data analytics, and its comprehensive reporting tools which significantly improve lead generation and engagement rates.
  • Reviewers experienced issues with the platform's complexity and navigability, some found its integration with existing systems not seamless, and others mentioned limitations with the advertising platform and the accuracy of some data.
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
167
Intent Data
141
Insights
124
Lead Generation
112
Intent Analysis
94
Cons
Learning Curve
48
Steep Learning Curve
38
Complexity
36
Data Management
35
Missing Features
35
Demandbase One features and usability ratings that predict user satisfaction
8.7
Quality of Support
Average: 8.8
9.1
Automation
Average: 8.7
8.5
Identification
Average: 8.8
8.1
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
Year Founded
2005
HQ Location
San Francisco, CA
Twitter
@Demandbase
21,833 Twitter followers
LinkedIn® Page
www.linkedin.com
981 employees on LinkedIn®
  • 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: 8.7
    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
    26,732 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,287 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: 8.7
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
26,732 Twitter followers
LinkedIn® Page
www.linkedin.com
2,287 employees on LinkedIn®
Ownership
Private
  • 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
    • 171% Enterprise
    • 76% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Cloud Data Quality features and usability ratings that predict user satisfaction
    8.5
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    6.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    102,081 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,576 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
  • 171% Enterprise
  • 76% Mid-Market
Informatica Cloud Data Quality features and usability ratings that predict user satisfaction
8.5
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
8.3
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
102,081 Twitter followers
LinkedIn® Page
www.linkedin.com
5,576 employees on LinkedIn®
Ownership
NYSE: INFA
(266)4.5 out of 5
Optimized for quick response
8th 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
    • 48% 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
    18
    Time-saving
    8
    Features
    6
    Automation
    5
    Customer Support
    5
    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
    8.1
    Automation
    Average: 8.7
    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
    1,157 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    276 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
  • 48% 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
18
Time-saving
8
Features
6
Automation
5
Customer Support
5
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
8.1
Automation
Average: 8.7
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
1,157 Twitter followers
LinkedIn® Page
www.linkedin.com
276 employees on LinkedIn®
(159)4.8 out of 5
14th Easiest To Use in Data Quality software
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  • Overview
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  • 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
    • 25% 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
    30
    Features
    23
    Transformation
    16
    Integrations
    13
    Analytics
    12
    Cons
    Feature Limitations
    13
    Missing Features
    12
    Limited Functionality
    10
    Learning Curve
    7
    Learning Difficulty
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.9
    Quality of Support
    Average: 8.8
    9.4
    Automation
    Average: 8.7
    8.3
    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
    13,121 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    535 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
  • 25% 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
30
Features
23
Transformation
16
Integrations
13
Analytics
12
Cons
Feature Limitations
13
Missing Features
12
Limited Functionality
10
Learning Curve
7
Learning Difficulty
7
dbt features and usability ratings that predict user satisfaction
8.9
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
8.3
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
13,121 Twitter followers
LinkedIn® Page
www.linkedin.com
535 employees on LinkedIn®
(86)4.3 out of 5
Optimized for quick response
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.

    Do more with trusted data. Collibra unites your entire organization with trusted data that's easy to find, understand and access so you can do more with your data. And with new artificial intelligence

    Users
    No information available
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 72% Enterprise
    • 20% 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
    Ease of Use
    10
    Features
    8
    Data Management
    6
    User Interface
    6
    Customization
    5
    Cons
    Limited Functionality
    5
    Feature Limitations
    4
    Improvement Needed
    4
    Missing Features
    4
    Time-Consuming
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Collibra features and usability ratings that predict user satisfaction
    8.2
    Quality of Support
    Average: 8.8
    7.6
    Automation
    Average: 8.7
    8.2
    Identification
    Average: 8.8
    7.2
    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
    5,789 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,014 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Do more with trusted data. Collibra unites your entire organization with trusted data that's easy to find, understand and access so you can do more with your data. And with new artificial intelligence

Users
No information available
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 72% Enterprise
  • 20% 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
Ease of Use
10
Features
8
Data Management
6
User Interface
6
Customization
5
Cons
Limited Functionality
5
Feature Limitations
4
Improvement Needed
4
Missing Features
4
Time-Consuming
4
Collibra features and usability ratings that predict user satisfaction
8.2
Quality of Support
Average: 8.8
7.6
Automation
Average: 8.7
8.2
Identification
Average: 8.8
7.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Collibra
Company Website
Year Founded
2008
HQ Location
New York, New York
Twitter
@collibra
5,789 Twitter followers
LinkedIn® Page
www.linkedin.com
1,014 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 96% Enterprise
    • 26% Mid-Market
  • 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
    Data Management
    2
    Big Data Management
    1
    Customer Support
    1
    Data Analysis
    1
    Data Integration
    1
    Cons
    Expensive
    2
    Complexity
    1
    Complex Setup
    1
    Difficult Setup
    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: 8.7
    8.3
    Identification
    Average: 8.8
    6.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 96% Enterprise
  • 26% Mid-Market
IBM InfoSphere Information Server 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 Management
2
Big Data Management
1
Customer Support
1
Data Analysis
1
Data Integration
1
Cons
Expensive
2
Complexity
1
Complex Setup
1
Difficult Setup
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: 8.7
8.3
Identification
Average: 8.8
6.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
  • 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
    3
    Ease of Use
    3
    Customer Support
    2
    Data Accuracy
    2
    Tool Power
    2
    Cons
    Complexity
    2
    Expensive
    2
    Not User-Friendly
    2
    Training Required
    2
    Difficult Learning Curve
    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: 8.7
    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
    62,434 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 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
3
Ease of Use
3
Customer Support
2
Data Accuracy
2
Tool Power
2
Cons
Complexity
2
Expensive
2
Not User-Friendly
2
Training Required
2
Difficult Learning Curve
1
SAS Data Quality features and usability ratings that predict user satisfaction
7.8
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.7
8.8
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,434 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
    17
    Ease of Use
    16
    Easy Integrations
    8
    Features
    6
    Quality Checks
    6
    Cons
    Learning Difficulty
    5
    Limited Functionality
    5
    Data Management Issues
    3
    Dependency Issues
    3
    Integration Issues
    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: 8.7
    8.7
    Identification
    Average: 8.8
    7.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Soda
    Company Website
    Year Founded
    2018
    HQ Location
    Brussels, BE
    Twitter
    @sodadata
    878 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    117 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
17
Ease of Use
16
Easy Integrations
8
Features
6
Quality Checks
6
Cons
Learning Difficulty
5
Limited Functionality
5
Data Management Issues
3
Dependency Issues
3
Integration Issues
3
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
Company Website
Year Founded
2018
HQ Location
Brussels, BE
Twitter
@sodadata
878 Twitter followers
LinkedIn® Page
www.linkedin.com
117 employees on LinkedIn®
(73)4.7 out of 5
3rd Easiest To Use in Data Quality software
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  • Overview
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  • 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: 8.7
    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
    2,374 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Marketing and Advertising
  • Health, Wellness and Fitness
Market Segment
  • 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: 8.7
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
2,374 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
(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.

    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: 8.7
    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
    527 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    76 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: 8.7
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
527 Twitter followers
LinkedIn® Page
www.linkedin.com
76 employees on LinkedIn®