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ETL Frameworks
Real-Time Data Pipeline Platform
★ 4.2
Database-to-Database CLI Tool
★ 4.1
pip install estuary-flowpip install ingestrpip install estuary-flowpip install ingestrPython data engineers use Estuary Flow to build low-latency CDC pipelines that keep a data warehouse continuously up to date with source database changes. Python derivations are written as TypeScript lambda functions embedded in the Flow spec, processing events in real time before they land in the destination — enabling sub-minute data freshness for operational analytics.
Python data engineers use ingestr as a fast way to set up one-off or recurring data copies between systems — running `ingestr ingest --source-uri pg://... --dest-uri bq://... --table schema.table` from Python subprocess calls or shell scripts. For more complex transformations or pipeline logic, ingestr handles the raw ingestion while Python handles the business logic.
Individual Tool Pages