Define your data pipelines as declarative contracts.
Enforce quality rules that catch impossible data before it ships.
Govern the lifecycle from DRAFT to PUBLISHED.
Absolute Integrity. Governed Flow.
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Declarative
Define once in JSON. No imperative scripts.
Enforced
Bad rows get dropped, not shipped.
Auditable
Full SCD2 versioning. Every change tracked.
Capabilities
From contract definition to delivery, Data Membrane handles the complexity so your team can focus on outcomes.
Define your entire data product as a declarative JSON contract. Sources, quality rules, transformations, and delivery—all in one versioned file.
Row-level checks like CUSTOM_SQL catch impossible data. Batch-level rules act as circuit breakers.
Monitor every run, track quality violations, and get alerts. Full audit trail with SCD2 versioning—know exactly what changed.
Enforce lifecycle transitions automatically. Only validated data moves from DEFINED → PUBLISHED.
KEDA-powered workers scale to zero when idle. Polars validates gigabytes in sub-second time. Pay only for what you process.
Ingest from ADLS, S3, Kafka, JDBC. Deliver to Snowflake, Delta Lake, Redshift, or Parquet. Swap components easily.
How It Works
Declare sources, quality rules, transformations, and delivery targets in a single JSON file. Version it with your code.
Submit via API or UI. The state machine validates your contract and spins up workers automatically.
Quality gates enforce your rules. Only valid data transitions to production. Full audit trail included.
Integrations
Out-of-the-box connectors for major data sources and destinations.
Stop debugging pipelines that succeeded technically but shipped bad data. Start enforcing quality at the source.
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