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Monte Carlo
IT InfrastructureDatabase Monitoring Tools
Data observability for the modern data stack
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Monte Carlo
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About the Monte Carlo
Monte Carlo is a data observability platform designed to prevent data downtime and ensure data reliability. It helps data teams monitor the health of their data pipelines and warehouses by automatically detecting and alerting on issues such as freshness, volume, and schema changes. Founded by Barr Moses and Lior Gavish, Monte Carlo provides end-to-end visibility into data quality, enabling businesses to trust their data for critical decision-making.