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Best Data Quality Tools - Page 3

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data quality tools analyze sets of information and identify incorrect, incomplete, or improperly formatted data. After profiling data concerns, data quality tools cleanse or correct that data based on previously established guidelines. Deletion, modification, appending, and merging are all common methods of data set cleansing or correction; data analysts, marketers, and salespeople are just a few positions that benefit from leveraging data quality solutions.

By targeting and cleaning data lists, data quality software allows businesses to establish and maintain high standards for data integrity. These solutions are also helpful for ensuring that data adheres to these standards, based on the required industry, market, or in-house regulations. This process of maintaining data integrity enhances the reliability of such information for business use. Data sets can range from customer contact information to granular financial statistics and much more.

Data quality software products may also share features or coexist with master data management (MDM) software, data integration software, or big data software. While tangentially related to data quality solutions from a functional standpoint, address verification software differs through its distinct use cases, focus on physical location data, and reliance on authoritative location data sourcing to verify correctness.

To qualify for inclusion in the Data Quality category, a product must:

Enable data profiling and identify data anomalies
Provide basic data cleansing functionalities like record merge, append, and delete
Allow data modification and standardization based on predefined rules
Allow automated and manual cleaning options
Offer preventive measures to preserve data integrity

Best Data Quality Tools At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

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.

No filters applied
190 Listings in Data Quality Available
(73)4.7 out of 5
3rd 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: 8.7
    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®
(17)4.9 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 41% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Telmai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Anomaly Detection
    2
    Ease of Use
    2
    Machine Learning
    2
    Automation
    1
    Connectivity
    1
    Cons
    Difficult Learning Curve
    1
    Learning Difficulty
    1
    Limited Functionality
    1
    Poor User Experience
    1
    Poor User Interface
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Telmai features and usability ratings that predict user satisfaction
    9.3
    Quality of Support
    Average: 8.8
    8.5
    Automation
    Average: 8.7
    8.8
    Identification
    Average: 8.8
    7.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Telmai
    Year Founded
    2020
    HQ Location
    San Mateo , Ca
    Twitter
    @telmai1
    93 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

Users
No information available
Industries
  • Computer Software
Market Segment
  • 47% Enterprise
  • 41% Mid-Market
Telmai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Anomaly Detection
2
Ease of Use
2
Machine Learning
2
Automation
1
Connectivity
1
Cons
Difficult Learning Curve
1
Learning Difficulty
1
Limited Functionality
1
Poor User Experience
1
Poor User Interface
1
Telmai features and usability ratings that predict user satisfaction
9.3
Quality of Support
Average: 8.8
8.5
Automation
Average: 8.7
8.8
Identification
Average: 8.8
7.5
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Telmai
Year Founded
2020
HQ Location
San Mateo , Ca
Twitter
@telmai1
93 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®

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(37)4.4 out of 5
13th Easiest To Use in Data Quality software
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Entry Level Price:Starting at $2,500.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloudingo solves the biggest problem with Salesforce and Marketo data: duplicate records. What’s unique about Cloudingo is its ability to comb through data to find duplicated records while giving you

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 76% Mid-Market
    • 16% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cloudingo 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
    Ease of Use
    2
    Customer Support
    1
    Data Accuracy
    1
    Duplicate Management
    1
    Cons
    Data Management Issues
    1
    Outdated Data
    1
    Slow Loading
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudingo features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    9.8
    Automation
    Average: 8.7
    9.5
    Identification
    Average: 8.8
    9.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2010
    HQ Location
    Dallas, TX
    Twitter
    @SymphonicSource
    269 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    24 employees on LinkedIn®
    Phone
    (972) 241-1543
Product Description
How are these determined?Information
This description is provided by the seller.

Cloudingo solves the biggest problem with Salesforce and Marketo data: duplicate records. What’s unique about Cloudingo is its ability to comb through data to find duplicated records while giving you

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 76% Mid-Market
  • 16% Small-Business
Cloudingo 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
Ease of Use
2
Customer Support
1
Data Accuracy
1
Duplicate Management
1
Cons
Data Management Issues
1
Outdated Data
1
Slow Loading
1
Slow Performance
1
Cloudingo features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
9.8
Automation
Average: 8.7
9.5
Identification
Average: 8.8
9.7
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
2010
HQ Location
Dallas, TX
Twitter
@SymphonicSource
269 Twitter followers
LinkedIn® Page
www.linkedin.com
24 employees on LinkedIn®
Phone
(972) 241-1543
(84)4.5 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Born from the frustration of trying - and failing - to utilize CRM to discover who knows who, Introhive is an award-winning software company that boosts B2B enterprises with a 360-degree view into the

    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
    4
    Ease of Use
    3
    Data Accuracy
    2
    Data Cleaning
    2
    Data Quality
    2
    Cons
    AI Limitations
    1
    Confusion
    1
    Contact Management
    1
    Data Inaccuracy
    1
    Data Management Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Introhive features and usability ratings that predict user satisfaction
    9.1
    Quality of Support
    Average: 8.8
    8.6
    Automation
    Average: 8.7
    8.2
    Identification
    Average: 8.8
    8.4
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Introhive
    Company Website
    Year Founded
    2012
    HQ Location
    Fredericton
    Twitter
    @Introhive
    10,116 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    223 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Born from the frustration of trying - and failing - to utilize CRM to discover who knows who, Introhive is an award-winning software company that boosts B2B enterprises with a 360-degree view into the

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
4
Ease of Use
3
Data Accuracy
2
Data Cleaning
2
Data Quality
2
Cons
AI Limitations
1
Confusion
1
Contact Management
1
Data Inaccuracy
1
Data Management Issues
1
Introhive features and usability ratings that predict user satisfaction
9.1
Quality of Support
Average: 8.8
8.6
Automation
Average: 8.7
8.2
Identification
Average: 8.8
8.4
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Introhive
Company Website
Year Founded
2012
HQ Location
Fredericton
Twitter
@Introhive
10,116 Twitter followers
LinkedIn® Page
www.linkedin.com
223 employees on LinkedIn®
Entry Level Price:$300.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Delpha is an AI-driven data quality solution that uses intelligent AI Agents to ensure accurate, reliable customer data, helping businesses improve operational efficiency and boost revenue performance

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Delpha 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
    4
    Intuitive
    4
    Customer Support
    3
    Easy Setup
    3
    Efficiency
    3
    Cons
    Limited Functionality
    1
    Poor Customer Support
    1
    Small Business Limitations
    1
    Software Stability
    1
    Training Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Delpha features and usability ratings that predict user satisfaction
    10.0
    Quality of Support
    Average: 8.8
    10.0
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Delpha.io
    Year Founded
    2020
    HQ Location
    Paris, FR
    Twitter
    @Delphainc
    29 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Delpha is an AI-driven data quality solution that uses intelligent AI Agents to ensure accurate, reliable customer data, helping businesses improve operational efficiency and boost revenue performance

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 40% Enterprise
Delpha 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
4
Intuitive
4
Customer Support
3
Easy Setup
3
Efficiency
3
Cons
Limited Functionality
1
Poor Customer Support
1
Small Business Limitations
1
Software Stability
1
Training Required
1
Delpha features and usability ratings that predict user satisfaction
10.0
Quality of Support
Average: 8.8
10.0
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Delpha.io
Year Founded
2020
HQ Location
Paris, FR
Twitter
@Delphainc
29 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
(48)4.6 out of 5
6th 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.

    OneSchema automates CSV imports, embedded directly in your product. Product and engineering teams use OneSchema to save months of dev time building CSV import. With over 50+ prebuilt validations and r

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 44% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OneSchema Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    24
    Data Management
    13
    Customer Support
    8
    Easy Integrations
    7
    Features
    7
    Cons
    Complexity
    4
    Limited Functionality
    4
    Missing Features
    4
    Error Handling
    3
    Limited Features
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OneSchema features and usability ratings that predict user satisfaction
    9.5
    Quality of Support
    Average: 8.8
    7.7
    Automation
    Average: 8.7
    8.1
    Identification
    Average: 8.8
    8.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OneSchema
    Year Founded
    2021
    HQ Location
    San Francisco, California
    Twitter
    @oneschema_co
    204 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OneSchema automates CSV imports, embedded directly in your product. Product and engineering teams use OneSchema to save months of dev time building CSV import. With over 50+ prebuilt validations and r

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 44% Mid-Market
OneSchema Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
24
Data Management
13
Customer Support
8
Easy Integrations
7
Features
7
Cons
Complexity
4
Limited Functionality
4
Missing Features
4
Error Handling
3
Limited Features
3
OneSchema features and usability ratings that predict user satisfaction
9.5
Quality of Support
Average: 8.8
7.7
Automation
Average: 8.7
8.1
Identification
Average: 8.8
8.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
OneSchema
Year Founded
2021
HQ Location
San Francisco, California
Twitter
@oneschema_co
204 Twitter followers
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
By SAP
(33)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
    • 67% Enterprise
    • 21% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Data Management features and usability ratings that predict user satisfaction
    7.4
    Quality of Support
    Average: 8.8
    9.4
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    10.0
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,811 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 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
  • 67% Enterprise
  • 21% Mid-Market
SAP Data Management features and usability ratings that predict user satisfaction
7.4
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
10.0
Identification
Average: 8.8
10.0
Preventative Cleaning
Average: 8.4
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,811 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica LLC is the worlds number one independent provider of data integration software.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Enterprise
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Data Quality features and usability ratings that predict user satisfaction
    7.9
    Quality of Support
    Average: 8.8
    9.4
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    8.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    102,042 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 LLC is the worlds number one independent provider of data integration software.

Users
No information available
Industries
No information available
Market Segment
  • 58% Enterprise
  • 25% Mid-Market
Informatica Data Quality features and usability ratings that predict user satisfaction
7.9
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
10.0
Identification
Average: 8.8
8.9
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
102,042 Twitter followers
LinkedIn® Page
www.linkedin.com
5,576 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Talend Data Quality has the potential to reduce costs, increase sales, and improve performance by making trusted data available in every style of integration. Talend Data Quality delivers trusted data

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Talend Data Quality Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Quality
    6
    Ease of Use
    6
    Customer Support
    2
    Data Accuracy
    2
    Data Cleaning
    2
    Cons
    Steep Learning Curve
    3
    Complexity
    2
    Difficult Setup
    2
    Poor Integration
    2
    Connectivity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Data Quality features and usability ratings that predict user satisfaction
    7.4
    Quality of Support
    Average: 8.8
    7.3
    Automation
    Average: 8.7
    8.0
    Identification
    Average: 8.8
    8.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    65,790 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,938 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Talend Data Quality has the potential to reduce costs, increase sales, and improve performance by making trusted data available in every style of integration. Talend Data Quality delivers trusted data

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 25% Mid-Market
Talend Data Quality Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Quality
6
Ease of Use
6
Customer Support
2
Data Accuracy
2
Data Cleaning
2
Cons
Steep Learning Curve
3
Complexity
2
Difficult Setup
2
Poor Integration
2
Connectivity Issues
1
Talend Data Quality features and usability ratings that predict user satisfaction
7.4
Quality of Support
Average: 8.8
7.3
Automation
Average: 8.7
8.0
Identification
Average: 8.8
8.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
65,790 Twitter followers
LinkedIn® Page
www.linkedin.com
3,938 employees on LinkedIn®
Phone
1 (888) 994-9854
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Event Grid is a routing service that works with Azure Logic Apps and Azure Functions. It's one more solution that enables developers to focus on business value, not on infrastructure.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 19% Mid-Market
    • 19% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Event Grid features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,039,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Event Grid is a routing service that works with Azure Logic Apps and Azure Functions. It's one more solution that enables developers to focus on business value, not on infrastructure.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 19% Mid-Market
  • 19% Enterprise
Azure Event Grid features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,039,026 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM InfoSphere QualityStage is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consisten

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM InfoSphere QualityStage features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    9.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,096 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.

IBM InfoSphere QualityStage is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consisten

Users
No information available
Industries
No information available
Market Segment
  • 64% Enterprise
  • 27% Mid-Market
IBM InfoSphere QualityStage features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
10.0
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,096 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.

    BiG EVAL is the leading test automator for data-centric projects such as data warehouses, ETL/ELT, data migrations and ERP or CRM implementations. With its ability to automatically test and verify d

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 47% Mid-Market
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BiG EVAL features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.8
    Automation
    Average: 8.7
    9.7
    Identification
    Average: 8.8
    9.6
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    BiG EVAL
    Year Founded
    2010
    HQ Location
    Kloten, ZH
    Twitter
    @BiGEVAL
    65 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BiG EVAL is the leading test automator for data-centric projects such as data warehouses, ETL/ELT, data migrations and ERP or CRM implementations. With its ability to automatically test and verify d

Users
No information available
Industries
No information available
Market Segment
  • 47% Mid-Market
  • 33% Enterprise
BiG EVAL features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.8
Automation
Average: 8.7
9.7
Identification
Average: 8.8
9.6
Preventative Cleaning
Average: 8.4
Seller Details
Seller
BiG EVAL
Year Founded
2010
HQ Location
Kloten, ZH
Twitter
@BiGEVAL
65 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Mid-Market
    • 22% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Elementary Data 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
    8
    Insights
    6
    Setup Ease
    6
    Slack Integration
    6
    Alerting System
    5
    Cons
    Integration Issues
    4
    Limited Features
    3
    API Limitations
    2
    Database Integration Issues
    2
    Limited Integration
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Elementary Data features and usability ratings that predict user satisfaction
    9.2
    Quality of Support
    Average: 8.8
    8.1
    Automation
    Average: 8.7
    9.0
    Identification
    Average: 8.8
    4.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @ElementaryData
    410 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when

Users
No information available
Industries
No information available
Market Segment
  • 56% Mid-Market
  • 22% Enterprise
Elementary Data 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
8
Insights
6
Setup Ease
6
Slack Integration
6
Alerting System
5
Cons
Integration Issues
4
Limited Features
3
API Limitations
2
Database Integration Issues
2
Limited Integration
2
Elementary Data features and usability ratings that predict user satisfaction
9.2
Quality of Support
Average: 8.8
8.1
Automation
Average: 8.7
9.0
Identification
Average: 8.8
4.5
Preventative Cleaning
Average: 8.4
Seller Details
HQ Location
N/A
Twitter
@ElementaryData
410 Twitter followers
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
(14)4.9 out of 5
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.

    Osmos is AI for cleaning and wrangling your data. Seamlessly clean, prepare, validate, and ingest data with AI-driven solutions—no expertise required. Solutions include: Osmos AI Data Wrangler: Ful

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Enterprise
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Osmos 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
    12
    Customer Support
    7
    Intuitive
    6
    Data Integration
    5
    Easy Setup
    5
    Cons
    Feature Limitations
    3
    Excel Issues
    2
    Learning Curve
    2
    Training Required
    2
    buggy Interface
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Osmos features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.7
    Automation
    Average: 8.7
    9.7
    Identification
    Average: 8.8
    9.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Osmos
    Year Founded
    2019
    HQ Location
    Seattle, US
    Twitter
    @osmosdata
    88 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Osmos is AI for cleaning and wrangling your data. Seamlessly clean, prepare, validate, and ingest data with AI-driven solutions—no expertise required. Solutions include: Osmos AI Data Wrangler: Ful

Users
No information available
Industries
No information available
Market Segment
  • 36% Enterprise
  • 36% Small-Business
Osmos 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
12
Customer Support
7
Intuitive
6
Data Integration
5
Easy Setup
5
Cons
Feature Limitations
3
Excel Issues
2
Learning Curve
2
Training Required
2
buggy Interface
1
Osmos features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.7
Automation
Average: 8.7
9.7
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Osmos
Year Founded
2019
HQ Location
Seattle, US
Twitter
@osmosdata
88 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
(41)4.4 out of 5
Optimized for quick response
Save to My Lists
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% Enterprise
    • 49% Mid-Market
  • 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% Enterprise
  • 49% Mid-Market
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®