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New 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions - Download Report
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DQLabs Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions

Recognized as a Visionary for the
second consecutive year

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2026-gartner-magic-quadrant-for-augmented-data-quality-solutions

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Your Guide to the Augmented Data Quality Landscape

Check out the report to get a complete view of the landscape and see what makes DQLabs a Visionary among 13 evaluated vendors.

  • Essential considerations for evaluating Augmented Data Quality Solutions

  • What differentiates DQLabs in Gartner’s evaluation of 13 vendors

  • The strengths behind DQLabs’ Completeness of Vision and Ability to Execute

PRIZM by DQLabs

Powers our vision for autonomous
data observability, quality, and context

AI-Native
Multi-Agent Architecture

PRIZM deploys autonomous, role-driven AI agents that continuously profile, prioritize, analyze, and remediate data issues while reducing manual intervention.

Unified Context
Across Data Ecosystems

PRIZM unifies observability signals, data quality metrics, lineage, usage, and business context into a single operational control plane.

Criticality-Driven
Prioritization

PRIZM identifies business-critical data assets and prioritizes monitoring and remediation based on downstream impact and enterprise risk exposure.

Built for
AI-Ready Data at Scale

PRIZM continuously evaluates data fitness for analytics, machine learning, and GenAI to enable trusted, scalable AI initiatives.

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2026-gartner-magic-quadrant-for-augmented-data-quality-solutions

Great product features and functionality. Excellent team supporting us from initial evaluation to post go-live support.

Director - Software

Excited. I like that I can now have data observability built into my Data Governance Program.

Data Governance Program Manager - Banking

DQ Labs has a very good product in Data Quality and Observability and a very good product support system. They are flexible in pricing models.

VP, IT Services - IT Services
Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Frequently asked questions

  • It is a Gartner® research publication (11 February 2026, authors Sue Waite, Divya Radhakrishnan, and Amy Bickel) that evaluates and positions vendors in the augmented data quality market. Vendors are plotted along two axes — Completeness of Vision and Ability to Execute — and placed into one of four quadrants: Leaders, Challengers, Visionaries, and Niche Players. The 2026 report evaluated 13 vendors.

  • DQLabs is recognized as a Visionary for the second consecutive year, reflecting the strength of its Completeness of Vision alongside its Ability to Execute among the 13 evaluated vendors.

  • Visionaries are vendors that demonstrate a strong, forward-looking understanding of where the market is heading and deliver innovative capabilities, while continuing to build out execution at scale. DQLabs' placement reflects its vision for autonomous data observability, quality, and context, powered by PRIZM.

  • Augmented data quality refers to the use of AI, machine learning, and automation to enhance traditional data quality processes — such as profiling, monitoring, anomaly detection, and remediation — reducing manual effort and improving the reliability of data at scale.

  • PRIZM is DQLabs' AI-native platform that powers its vision for autonomous data observability, quality, and context. It uses a multi-agent architecture to continuously profile, prioritize, analyze, and remediate data issues, unifies signals across data ecosystems into a single control plane, applies criticality-driven prioritization, and continuously evaluates data fitness for analytics, ML, and GenAI.

  • The complimentary report is available to download directly from the page, offering a complete view of the augmented data quality landscape, the essential evaluation considerations, and what differentiates DQLabs in Gartner®'s evaluation.

Gartner, Magic Quadrant for Augmented Data Quality solutions, Sue Waite, Divya Radhakrishnan, Amy Bickel Initiatives: Technologies and Markets, 11 February 2026

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.