Every enterprise runs in two worlds. In one, your apps process orders, track events and serve customers in real time. In the other, your analytics platform uncovers insights, trains models and powers AI. Between them lies a tangled mess of extract, transform, load (ETL) pipelines, batch jobs and third-party tools that cost a fortune to maintain.
Now, Snowflake Postgres is closing that gap. At Snowflake Summit, we announced:
Data mirroring: Always-on replication between Postgres and Snowflake (public preview soon)
Postgres for your data lake: A more flexible way to sync Postgres with analytics using open formats like Iceberg (generally available soon)
They provide a seamless connection between transactional and analytical data, no complex pipelines required.
