How We Pushed CDC into Postgres
Snowflake has introduced a new data mirroring feature designed to simplify Change Data Capture (CDC) from Postgres databases. By pushing data directly into Apache Iceberg tables, the system aims to eliminate the fragility and complexity typically associated with traditional replication pipelines.
Why it matters
This development addresses a major pain point in modern data engineering, potentially reducing infrastructure costs and operational overhead for companies managing large-scale analytical data pipelines.
Open in Claude Open in ChatGPT How we pushed CDC into Postgres, and turned replication into clockwork Marco Slot Making data from transactional databases available to analytical databases is an essential part of any modern data architecture. It is also a perpetual battle against fragile tooling, high costs and complex operations. When we started building a Postgres service at Snowflake, solving this problem naturally became our number one priority.
This post is a deep dive into the engineering behind data mirroring: how we reimagined Postgres replication from the ground up.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in