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Datagaps

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4.5 out of 5 stars
11 reviews
  • 3 profiles
  • 6 categories
Average star rating
4.5
Serving customers since
2010

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Datagaps Reviews

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Verified User in Hospital & Health Care
UH
Verified User in Hospital & Health Care
09/22/2026
Validated Reviewer
Verified Current User
Review source: Organic

Strong QA automation, but Git Sync needs work

|Datagaps DataOps Suite
Datagaps lets us build reusable data-quality rules once and run them on a schedule across our SQL Server warehouse and Databricks Bronze, Silver, and Gold layers, which has replaced a lot of manual QA. Built-in profiling makes fill-rate and mapping gaps easy to spot, the Azure DevOps integration ties test results back to our stories, and the support team responds quickly when we hit configuration issues.
Gajendra C.
GC
Gajendra C.
08/28/2026
Validated Reviewer
Verified Current User
Review source: Organic

User-Friendly Experience with Great Support and Smooth Integration

|Datagaps DataOps Suite
It’s user-friendly, and the support is great. The integration is also good, which makes it easy to get started and use day to day.
Somesh T.
ST
Somesh T.
Test Analyst II at TSYS
03/30/2026
Validated Reviewer
Review source: Organic

User-Friendly Interface with Powerful End-to-End Data Validation

|Datagaps DataOps Suite
What I appreciate most is its user-friendly interface combined with powerful capabilities. Even for someone who is not deeply technical, it becomes fairly intuitive after initial use. The ability to perform end-to-end data validation across different sources has helped us catch discrepancies early and maintain data integrity.

About

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HQ Location:
Herndon, US

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@datagaps

What is Datagaps?

Datagaps Inc is a company specializing in data quality and data validation solutions. It offers a range of products designed to automate and enhance data testing and validation processes for enterprises utilizing business intelligence and data analytics platforms. Datagaps's offerings include solutions for ETL testing, data migration testing, data warehouse testing, and more, aimed at ensuring data accuracy, consistency, and reliability across systems. The company's tools support various data sources and cloud platforms, facilitating seamless integration into existing data ecosystems.

Details

Year Founded
2010