DQLabs

DQLabs makes a software platform that monitors and scores the data large organisations rely on. The product, called Prizm, joins data observability, data quality and cataloguing so teams do not need separate tools for each. It is aimed at data engineers, analysts and data leaders, and at AI agents that act on company data.

What DQLabs offers

• Data observability — automatic monitoring of pipelines, warehouses, lakehouses and BI tools for problems with freshness, schema, volume, cost and performance.
• Anomaly detection and alerts — machine-learning detection with lineage-aware alerts grouped by root cause.
• Data quality rules — policy-driven checks plus checks suggested by AI to measure accuracy and consistency.
• Semantic discovery — finds and classifies business terms across data to standardise quality checks and governance.
• Agentless connections — covers data sources without installing agents on them.

Who it works with

Enterprises in banking, financial services and insurance, healthcare and life sciences, retail and consumer goods, government, energy and utilities, manufacturing and technology.

Key facts

• Product: Prizm platform
• Deployment: Agentless coverage of data sources
• Rating: 4.6 out of 5 on Gartner Peer Insights, as stated on its site