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Estuary

Real-time data integration platform combining CDC, streaming ETL, and batch in a unified system with millisecond latency.

Key Features

  • Millisecond latency: True streaming capture
  • Log-based CDC: Minimal source impact
  • Full and incremental: Initial load + ongoing
  • Schema evolution: Automatic handling
  • Batch + streaming: Same pipeline definition
  • Historical backfill: Seamless initial loads
  • Exactly-once: End-to-end guarantees
  • Idempotent writes: Safe re-processing
  • Declarative: YAML pipeline definitions
  • TypeScript transforms: Custom logic
  • Reactive dataflows: Event-driven processing
  • Local development: Test before deploy
  • Warehouses: Snowflake, BigQuery, Redshift, Databricks
  • Databases: PostgreSQL, MySQL, MongoDB
  • Lakes: S3, GCS (Parquet, Delta, Iceberg)
  • Streaming: Kafka, Kinesis