FirstEigen’s DataBuck helps enterprises architect serverless, autonomous, in-situ data quality on Snowflake by replacing brittle, rule-heavy tools with ML-driven validation that scales effortlessly across hundreds of data assets. It runs directly where the data lives in Snowflake, profiling datasets, auto-discovering data quality rules, and continuously monitoring for anomalies and drift without manual rule maintenance. DataBuck centralizes audit trails, delivers clear, consumable Data Trust Scores, and integrates natively with Snowflake, ensuring data warehouses stay trusted and analytics-ready instead of devolving into data swamps.

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