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At Datafold, we believe in catching data issues before they reach your stakeholders. Our shift-left approach starts data quality testing early in your pipelines, identifying and resolving problems before they become costly mistakes. Whether through automated CI testing or upstream checks on OLTP databases, Datafold helps your team stay ahead of bad data.
Eliminate vendor overhead with Datafold's all-in-one platform for data quality testing, monitoring, observability, column-level lineage, and reconciliation. From upstream databases to production, Datafold automates testing at every step, ensuring full confidence in your data pipelines.
Fennel helps you author, compute, store, serve, monitor & govern both realtime and batch ML pipelines. No DSL, no Spark or Flink jobs. Plain old Python & Pandas means zero learning curve for you. Pipelines backfill automatically on declaration - no more pesky one off scripts. Fennel brings up & manages everything that is needed - zero dependencies on your prod infra. Write standardized features once, share & reuse across all your use cases.
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