Modern Data Quality Platform Powered by AI

Deliver reliable and accurate data for better business outcomes
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Trusted By Modern Data Teams Worldwide

Observe-Measure-Discover-Remediate
the data that matters

The DQLabs platform harnesses the combined power of Data Observability, Data Quality and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.

Data Quality

Agile quality-focused assessment for known issues across domains for data leaders, producers, and consumers.
Data Discovery

Automatic identification and classification of business terms across your data for standardized quality checks and improved governance.

Observe, Measure, Discover and Remediate all in one platform

Complete Data Quality Platform

Your organization needs role-based and relevant quality data to fuel great decision-making. DQLabs bridges this gap, delivering the highest quality data for more effective business outcomes regardless of your role.

Our Data Solutions

Data Observability

End to End Observability in minutes with automated incident detection, impact analysis, and root cause diagnosis. Improve your automated Observability with easy-to-add custom health checks to further improve your data monitoring coverage across your data stack.

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Data Quality

A no-code approach to measure business quality by reviewing source data and metadata and interrelationships across applications to identify potential data quality problems.

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Data Discovery

Power your data quality stewardship and governance catalog using automatic identification and classification of business terms and their measures across the entire organization.

Try DQLabs Data Discovery

Partner with Gartner's Choice of Customer Platform

Gartner recognizes DQLabs, as a Choice of Customer and as a Niche Player in the Magic Quadrant 2024 for Data Quality Solution.

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Testimonials

Using DQLabs, we improved the reliability and accuracy of data for our business decisions. The platform’s automated data profiling, data quality checks, and data monitoring features are incredibly useful in identifying and resolving data issues.

Kaushal Pandya, Chief Data Officer, Trellance, Inc.

DQLabs helped us continuously improve data quality in business processes, applications, data, and analytic platforms using automated health checks and custom measures to build trusted data assets that support Operations teams. 

Peter Kapur, Data Quality and Governance Leader at WM

DQLabs helped us deliver a consistent source of high-quality data to address high-risk populations’ concerns and improve public safety and community planning.

Eric Finch, Chief Innovation and Technology officer at City of Spokane

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