Monte Carlo

Monte Carlo’s data observability software is used to monitor data across IT systems, including in databases, data warehouses and data lakes, to gauge and maintain data quality, reliability and lineage—what the company calls “data health.”

The San Francisco-based startup’s platform evaluates data according to its freshness and how up to date it is, the volume or completeness of data tables, the data schema or organization of the data, data lineage including sources and usage, and the data’s distribution (whether the data’s values are within an accepted range).

Monte Carlo’s technology applies to data sources and pipelines similar practices used in DevOps including automated monitoring, alerting and triaging to evaluate data quality and identify problems.