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I'd like to mention Conduit + its Postgres connector. The Pg connector comes built-in, so all that is needed is a single Conduit binary to get started. It relies on WAL, but the connector creates the replication slot itself (if needed).
I'd like to mention Conduit + its Postgres connector. The Pg connector comes built-in, so all that is needed is a single Conduit binary to get started. It relies on WAL, but the connector creates the replication slot itself (if needed).
You can consider using Dozer (https://github.com/getdozer/dozer), an open-source data API backend. Dozer has a PostgreSQL connector that you can use to monitor any changes in your database schema and data. Although Dozer is not specifically designed for ETL tasks, you can still use it for this purpose by using Lambda functions. Dozer provides a Lambda runtime to execute user-defined functions. So you can use PostgreSQL connector ( to capture CDC) with Lambda runtime to load data to snowflake.
I recommend Streamdal. The connecting agent is open source and distributed by default, so it will scale horizontally WAY better than Debezium. All data ingested is indexed into parquet as well, and you can do serverless functions/transforms on the platform to reduce Snowflake compute costs.
The Oracle connector is actually done, and there's both, a source and a destination connector for it: https://github.com/conduitio-labs/conduit-connector-oracle