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Datadog unifies observability across data and applications, combining AI with column-level lineage to detect, resolve and prevent data quality problems from occurring

April 25, 2025 //  by Finnovate

Cloud security and application monitoring giant Datadog is looking to expand the scope of its data observability offerings after acquiring a startup called Metaplane. By adding Metaplane’s tools to its own suite, Datadog said, it will enable its users to identify and take instant action to remedy any data quality issues affecting their most critical business applications. Metaplane has built an end-to-end data observability platform that combines AI with column-level lineage to try and detect, resolve and also prevent data quality problems from occurring. It’s an important tool for any company that’s trying to make data-driven decisions, since “bad” data means those decisions are being made based on the wrong insights. This allows it to notify customers of any issues with the tools that are creating their data, such as Slack, PagerDuty and the like. Datadog Vice President Michael Whetten said, Metaplane’s offerings will help the company to unify observability across data and applications so its customers can “build reliable AI systems.” When the acquisition closes, Metaplane will continue to support its existing customers as a standalone product, though it will be rebranded as “Metaplane by Datadog.” Of course, Datadog will also look to integrate Metaplane’s capabilities within its own platform, and likely do its utmost to get Metaplane’s customers onboard.

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Category: Members, Data Economy & Privacy, Innovation Topics

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