Ensure Data Quality & Observability in Your Catalogs

Ensure trusted, accurate, and governed data with seamless integration between DQLabs and leading data catalogs like Collibra, Alation, and Atlan.

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Key Benefits

Accurate, Reliable Data
for Governance

Ensure data assets meet quality standards by integrating automated checks and real-time metrics directly within your catalogs.

Faster Issue Detection
& Resolution

Identify and address data anomalies, schema changes, and quality issues early—before they disrupt operations or reporting.

Strengthen Compliance
& Data Integrity

Automate policy enforcement, track data lineage, and maintain compliance with industry regulations through continuous monitoring.

Enhanced Data Visibility
& Trust

Deliver clear, real-time data quality insights across your organization—ensuring all stakeholders trust the data they use.

Operational Efficiency
& Automation

Reduce manual intervention with automated data profiling, quality checks, and seamless data catalog updates.

Key Capabilities

Automated Data Quality Insights in Catalogs

Bi-Directional Data Flow

AI-Driven Anomaly & Schema Detection

Column-Level Lineage & Traceability

Automated Data Quality Insights in Catalogs

Bring data quality to the forefront of your governance strategy. DQLabs pushes rich, real-time metrics—such as accuracy, completeness, and freshness—directly into your catalogs, empowering informed, data-driven decision-making.

• Ensure accuracy, completeness, and data drift in real-time across all cataloged assets.
• Monitor quality metrics seamlessly within your catalog environment.
• Enable actionable insights for improved data governance.

Bi-Directional Data Flow

Keep your data ecosystems in sync. With bi-directional integration, DQLabs and your catalogs continuously update each other—ensuring that quality insights and metadata stay aligned across systems, without manual intervention.

• Automatically reflect data quality changes between DQLabs and your catalogs.
• Maintain data integrity across connected systems seamlessly.
• Minimize manual intervention for efficient data synchronization.

AI-Driven Anomaly & Schema Detection

Detect and resolve issues before they cascade downstream. DQLabs uses AI to identify anomalies and schema changes, surfacing them directly in your catalogs to drive faster resolution and improved data trust.

• Detect unexpected patterns or structural changes instantly.
• Surface detected issues directly within your catalog for action.
• Improve data reliability with proactive issue identification.

Column-Level Lineage & Traceability

Achieve end-to-end visibility across your data landscape. DQLabs enhances your catalog with column-level lineage, making it easier to track transformations, dependencies, and data flow for governance and compliance needs.

• Combine DQLabs' granular lineage tracking with your catalog’s metadata.
• Gain visibility into column-level transformations and dependencies.
• Ensure compliance with robust traceability across workflows.

Seamless Integration with
Leading Data Catalogs

DQLabs integrates with data warehouses, lakes/lakehouses, orchestration tools, and BI and visulization tools to deliver trusted and reliable data.

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