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New 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions - Download Report

Platform
- DQLabs Platform
One unified platform for data leaders, engineers, and analysts—offering observability, quality, discovery, and remediation.
- AI Agentic Data Management
An autonomous, AI Agentic driven capabilities to continuously improve management of data issues.
- DQLabs Capabilities
Automated data quality, anomaly detection, semantics-driven discovery, and issue resolution for trusted and reliable data.
- Data Observability
Monitor data, pipelines, and usage—detect anomalies, ensure reliability, and optimize the health of your data systems.
- Data Quality
Automate data quality with no-code checks, anomaly detection, lineage, and governance for trusted, accurate, and reliable data.
- Data Discovery
Discover data with semantics-driven categorization, advanced search, and catalog integration for faster, actionable insights.
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- Collibra
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- Gartner Data & Analytics Summit 2025
  
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- What Are Schema Changes and How Does That Affect…
  
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Company
- About Us
DQLabs is an automated, modern data quality platform that delivers reliable and accurate data for better business outcomes.
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Industry acknowledgments, analyst recognitions, and notable achievements.
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Data Quality Solutions for
Technology Companies

Ensure Data Integrity, Optimize Operations, and Drive Innovation with Trusted Data. 360, and Financial Reporting.

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Trusted By Modern Data Teams Worldwide

Washington State Housing Finance Commission

Analyst Research

DQLabs is A Visionary in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions

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Transform Financial Operations with Reliable Data

Ensure Data Accuracy

Validate data across platforms and systems.

Optimize Data Pipelines

Prevent delays and ensure reliable data flow.

Strengthen Data Governance

Automate governance with lineage and oversight.

Enhance Customer Experience

Deliver personalized customer experience with trusted data.

Support AI Readiness

Ensure quality data for advanced analytics.

Ensure Data Accuracy

Validate and monitor data across SaaS products, cloud infrastructure, and on-premise systems.
Automatically track schema changes and resolve discrepancies in real time.
Detect and correct data inconsistencies across multiple environments.
Maintain up-to-date, accurate data for customer-facing applications.

Optimize Data Pipelines

Monitor data pipelines to ensure consistent data flow and minimize downtime.
Automate data validation checks to prevent errors and delays.
Detect anomalies in real time and trigger alerts for rapid issue resolution.
Ensure data readiness across cloud and hybrid ecosystems.

Strengthen Data Governance

Implement comprehensive data governance with automated tracking and audit trails.
Ensure regulatory compliance (e.g., GDPR, SOC 2) with proactive monitoring.
Enforce data access controls and track lineage across multiple systems.
Ensure consistent metadata management for data catalogs and inventories.

Enhance Customer Experience

Ensure clean, accurate customer data for personalized experiences.
Detect and resolve data errors impacting customer-facing applications.
Deliver consistent customer insights across digital touchpoints.
Improve customer lifecycle management with trusted, complete data.

Support AI Readiness

Ensure data quality for AI/ML models, reducing bias and improving accuracy.
Detect and prevent data drifts to maintain model performance.
Validate and track data inputs across product and service lifecycles.
Enable advanced analytics by providing clean, standardized datasets.

DQLabs Platform

The only unified platform that brings together Data Quality, Observability, and Discovery to ensure reliable, AI-ready data by providing in-depth insights into data health and performance.