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ETL Frameworks
Real-Time CDC Data Ingestion
★ 4.1
Database-to-Database CLI Tool
★ 4.1
N/A — managed servicepip install ingestrN/A — managed servicepip install ingestrPython data engineers use Artie to replace manual CDC pipelines and eliminate data warehouse lag. Rather than writing Python Debezium consumers and custom merge logic, engineers configure Artie via YAML to stream changes from a source database directly to the warehouse — achieving sub-minute data freshness without maintaining custom Python replication code.
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.
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