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Recognized for Completeness of Vision and Ability to Execute
DQLabs Named a Visionary in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
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DQLabs, Inc.
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DQLabs, a leading agentic AI driven data quality and observability platform, today announced its recognition as a Visionary in the Gartner® Magic Quadrant™ for Augmented Data Quality Solutions 2025. Gartner Magic Quadrant gives enterprise technology shoppers an unbiased assessment of how well competing providers are performing against Gartner market view and is supplemented by validated user reviews.
For a complimentary copy of the report, https://www.dqlabs.ai/2025-gartner-magic-quadrant-for-augmented-data-quality-solutions/
DQLabs is a self-learning, agentic AI-driven platform that redefines data quality and observability by eliminating manual intervention and ensuring trusted, high-quality data at scale. Powered by advanced semantics and GenAI, DQLabs seamlessly integrates Data Observability, Autonomous Data Quality, Metadata Intelligence, and AI-Driven Remediation into a unified, automation-first solution. Its self-service, no-code/low-code agentic platform ensures enterprise-wide data accuracy and reliability, supporting data engineering, governance, data science, and AI readiness use cases across all verticals. DQLabs transforms data into an intelligent, self-optimizing asset—powering scalable, AI-ready, and governance-driven business outcomes.
Gartner Magic Quadrantâ„¢ for Augmented Data Quality Solutions evaluated 12 providers based on their Completeness of Vision and Ability to Execute.
Earlier in 2024, DQLabs was recognized as a Gartner® Peer Insights™ Customers’ Choice for Augmented Data Quality Solutions that recognizes vendors based on customer reviews.
We believe the following are DQLabs Strengths
- 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.
Additional Resources
- Download a complimentary copy of the report, 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
- Learn why DQLabs was recognized as a 2024 Customers' Choice for Augmented Data Quality Solutions.Â
Gartner Disclaimer
Gartner, Magic Quadrant for Augmented Data Quality Solutions, Melody Chien, Divya Radhakrishnan, Sue Waite, 10 March 2025
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 & Advisory 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.
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.
About DQLabs, Inc.
DQLabs is a unified Agentic AI driven platform that combines Data Quality, Observability, and Discovery to help organizations efficiently manage and trust their data. Tailored for all user personas—including Data Leaders, Stewards, Analysts, Engineers, and Business Stakeholders—it offers the capabilities necessary to ensure data quality and reliability at scale.
For more information visit: https://www.dqlabs.ai
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