What is data discovery, and why is it important?

Data discovery helps organizations locate and categorize assets and assess their data quality efficiently. It provides business context for data and ensures that teams can trust the data they use for decision-making.

How does DQLabs’ semantics-driven discovery improve data understanding?

DQLabs automatically categorizes data assets using semantic layers, tagging them by domain, application, and other attributes, making it easier to navigate and analyze data quality.

How does DQLabs help with fragmented and scattered data?

DQLabs centralizes data quality insights, offering a unified view across all assets, helping teams quickly find and assess their data for increased trust in their data landscape.

Can non-technical users leverage DQLabs for data discovery?

Yes, DQLabs provides self-service data discovery with an intuitive interface, enabling business users to access contextualized data insights without technical expertise.

What types of filters does DQLabs offer for data search?

DQLabs provides advanced filtering capabilities based on attributes like data source, domain, data quality score, and other metadata, making searches more precise and efficient.

DQLabs: Visionary in 2025 Gartner Magic Quadrant for Augmented Data Quality Solutions

Download Gartner Magic Quadrant Report

DQLabs is recognized by Gartner® as a Visionary in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions. Check out the report to get a complete view of the landscape and see what makes DQLabs a Visionary among 12 evaluated vendors.

Get the Report to Read Our Takeaways

What makes DQLabs A Visionary among 12 recognized vendors.
An evaluation of the vendor’s strengths and challenges, see how they meet your specific needs.
How the data quality market has changed over the past year, and why AI driven automation is more important than ever before.

At DQLabs, We Lead with Vision and Innovate with AI

Unified Data Quality Platform

A single platform with an active semantic layer that supports diverse user needs—ensuring data quality alignment with business goals, reliable pipelines, and advanced analytics for AI/ML.

Scalability & Interoperability

Built for multi-cloud environments and heterogeneous data sources, DQLabs enables seamless integration, data migration, and adaptive scaling through a low-code/no-code framework.

Semantic Intelligence &
Auto-Discovery

AI-driven semantic discovery for automatic classification, pattern detection, and contextual quality rule application for enhanced data governance.

Innovation & Customer Growth

Continuous innovation with expanded data quality capabilities, generative AI features, and modern tool integrations—supported by strong growth in both revenue and customer adoption.

Why DQLabs

AI-Powered Data Quality Innovation

GenAI-powered capabilities with custom LLMs for automated anomaly detection, schema drift monitoring, root cause analysis, and compliance risk assessment.

Comprehensive Data Connectivity

Seamless integration with a wide range of data sources, including relational, non-relational, streaming, cloud, and on-premise systems, through native connectors.

Semantic Intelligence &
Auto-Discovery

AI-driven semantic discovery for automatic classification, pattern detection, and contextual quality rule application to enhance data governance.

Continuous Innovation & Customer Growth

Continuous innovation with expanded observability, generative AI capabilities, and modern tool integrations—supported by strong growth in both revenue and customer adoption.

Gartner, Magic Quadrant for Augmented Data Quality Solutions, Melody Chien, Divya Radhakrishnan, Sue Waite, 10 March 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from DQLabs.

Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

DQLabs Is a Visionary in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions