This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

pg-cdc

PostgreSQL CDC to Iceberg & S3 in one binary

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.

Top comment

Hi Product Hunt! 👋 I’m excited to introduce pg-cdc, an open-source PostgreSQL Change Data Capture engine built to make operational data easy to use for analytics and AI. Instead of assembling a pipeline with Kafka, Spark, and multiple connectors, pg-cdc streams PostgreSQL WAL changes directly to Apache Iceberg and Parquet on Amazon S3 from a single binary. The output is immediately queryable with Athena, DuckDB, Spark, Trino, and other Iceberg-compatible engines. I’d love your feedback on: * The developer experience * Installation and setup * Performance and scalability * Features you’d like to see next If you’re building data platforms or AI applications on PostgreSQL, I’d really appreciate your thoughts. Thanks for checking out the project!

About pg-cdc on Product Hunt

PostgreSQL CDC to Iceberg & S3 in one binary

pg-cdc was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #9 on the daily leaderboard. 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.

On the analytics side, pg-cdc competes within Amazon, GitHub and Data & Analytics — topics that collectively have 64.9k followers on Product Hunt. The dashboard above tracks how pg-cdc performed against the three products that launched closest to it on the same day.

Who hunted pg-cdc?

pg-cdc was hunted by burnside project. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of pg-cdc including community comment highlights and product details, visit the product overview.