Collibra Data Quality & Observability: Features & Alternatives

Overview

Collibra, whose platform also covers data catalog, governance, lineage and privacy, sells Data Quality & Observability as part of a unified governance offering. The product deploys automated and custom monitors to detect anomalies, schema changes, missing and duplicate data and missing records; uses AI and reusable rule templates to reduce manual rule writing; and offers an MCP server so that a data quality programme can be run from a large language model.^[8] Jobs can be pushed down to the customer’s warehouse compute without data egress or run in a dedicated Spark engine, and lineage traces root causes upstream and affected products, models and owners downstream, with issue workflows, alerts and integrations with Jira and ServiceNow for remediation.^[8] Collibra cites a Wavestone survey in which only 37% of data and AI executives said they had improved data quality.^[8] The product is most valuable to organisations already governing data in Collibra, where quality scores attach to catalog assets and owners. Pricing is not published, and the full benefit depends on the broader Collibra platform.