We ve found that the hardest part of building AI applications isn t the model it s getting governed, trustworthy operational data into AI systems. How are you handling change data capture today? Are you streaming directly from PostgreSQL, building custom pipelines, or relying on periodic ETL?
pg-cdc is an open-source PostgreSQL Change Data Capture engine that streams WAL changes directly to Apache Iceberg and Parquet on Amazon S3. Unlike traditional CDC pipelines, it runs as a single binary—no Kafka, Spark, or JVM required. The output is immediately queryable with Athena, DuckDB, Spark, Trino, and other Iceberg-compatible engines, making operational PostgreSQL data ready for analytics and AI workloads.
