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Exclusive: Metaplane nets $13M to detect data anomalies with AI
As of January 2024, enterprises using Metaplane had run 500 million data quality checks on over 40 million data assets and over 30M...
We go even further by being the only data observability product to integrate with transactional databases like Postgres and MySQL, and catch issues within dbt pull requests in Github,” Hu, who started the company from an MIT project in 2019, told VentureBeat. Unlike other monitoring tools, we also make it easy for users to tweak models to ignore one-offs or learn new trends to account for seasonal patterns and factors specific to their industry. In addition to the self-serve approach to adoption, Hu claimed that the platform’s ability to detect important issues while keeping noise to the minimum and give a complete view of the data stack makes it better than all other observability tools out there.
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