Soda Data Quality
by Soda Data
Soda is an AI-native, fully automated data quality and data observability platform that detects, explains, and resolves data quality issues across an organization's data stack. It unites business and engineering teams in one shared, collaborative workflow via AI-powered data contracts, runs automated checks (schema, freshness, metrics) that engineers execute as code and business users run through an interface, and provides metrics monitoring, record-level anomaly detection, and root-cause analytics. Intended users include data engineers, data stewards, data architects, data governance teams, data consumers and analytics teams at enterprises across banking/financial services (e.g., BCBS 239 compliance), data mesh, cloud migration/reconciliation and pipeline testing use cases. Soda's AI algorithms (published in NeurIPS, JAIR and ACML) are claimed to beat Facebook Prophet with 70% fewer false positives and scale to 1B rows in 64 seconds.
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Weighted across four pillars · updated October 11, 2026
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