Datadog Expands into Data Observability with Metaplane Acquisition

Datadog has announced the acquisition of Metaplane, a move that deepens its capabilities in the growing field of data observability. Known for its cloud application monitoring and security platform, Datadog is now extending its reach to help data teams proactively manage the integrity and reliability of their data ecosystems.

Metaplane provides machine learning-powered monitoring and column-level lineage tracking designed to identify and resolve data quality issues across a company’s full data stack. Traditionally, observability tools have focused on post-ingestion data housed in lakes or warehouses. Metaplane’s approach covers the entire data lifecycle—from production to transformation to consumption—giving teams earlier visibility into potential issues before they impact business operations.

The acquisition builds on Datadog’s recent launches in the data observability space, including Data Jobs Monitoring and Data Streams Monitoring. As organizations rely more heavily on AI applications and cloud-native data platforms such as Snowflake and Databricks, maintaining trust in data has become increasingly important. Full-stack observability enables data teams not just to monitor data quality reactively, but to embed resilience into systems that are critical for AI-driven decision-making.

Metaplane will continue operating under the Metaplane by Datadog brand, serving both existing and new customers. By combining application and data observability into a unified platform, Datadog aims to help organizations strengthen data reliability across their entire technology environment.