Snowflake brought Snowflake Postgres to general availability on February 24, 2026, giving customers a fully managed, standard PostgreSQL service that lives natively inside the Snowflake platform rather than requiring a separate database vendor or a bolt-on integration layer to move data between an operational Postgres database and Snowflake's analytical warehouse. Historically, teams running Postgres for transactional workloads and Snowflake for analytics have had to build and maintain their own ETL or CDC pipelines to keep the two systems in sync, replicating changes from Postgres into Snowflake on some schedule or via a streaming connector, which adds operational overhead, replication lag, and yet another system that can silently break. A native, fully managed Postgres offering inside Snowflake collapses that boundary: transactional and analytical workloads can live closer together, with Snowflake handling the operational burden of running Postgres itself, backups, patching, scaling, the same way it already handles that burden for its core warehouse product. This launch also set up the more architecturally interesting follow-on: pg_lake, an open-source Postgres extension giving direct, zero-ETL read and write access to Apache Iceberg tables in Snowflake-managed storage, which reached native availability inside Snowflake Postgres shortly after this GA and full general availability at Snowflake Summit in June 2026. For data teams already invested in the Snowflake ecosystem, this GA is worth evaluating specifically for new transactional workloads or applications where avoiding a separate Postgres vendor and its own operational burden outweighs any lock-in concerns about running a core operational database on a warehouse vendor's infrastructure.