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From: burnside project via PostgreSQL Announce <[email protected]>
To: PostgreSQL Announce <[email protected]>
Subject: pg-cdc Frustratingly simple Postgres change data capture to AWS S3
Date: Sun, 05 Jul 2026 16:22:12 +0000
Message-ID: <[email protected]> (raw)

Core Features

git Repo: [https://github.com/burnside-project/pg-cdc](https://github.com/burnside-project/pg-cdc) 

pg-cdc is not just replication. pg-cdc streams Postgres Write Ahead Logs(WAL) out of production Postgres into typed, immutable, time-travelable Iceberg tables on S3
Registers each entities in the AWS Glue Catalog
Gates every read with AWS Lake Formation tags — so AI agents, analysts, and query engines consume governed data without ever touching the source database, and without database credentials.
No JVM. One binary.

No return path — the WAL is one-way; Parquet is immutable. Agents physically cannot write to production.
No database credentials — consumers authenticate via AWS IAM + Lake Formation, never a connection string.
Governed by default — untagged data is invisible; Lake Formation tags gate every read, down to the column.
Time travel built in — every flush is an Iceberg snapshot; CDC epochs + immutable raw@<ts> tags give historical queries with no database branching.

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