The text discusses the integration of Postgres with ClickHouse, highlighting how data can be moved between these two databases using native ClickHouse functions and table engines. The post explores accelerating queries involving joins by powering dictionaries with Postgres, which enables fast lookups and avoids the need for a join in ClickHouse. It also demonstrates a "reverse ETL" process where results of analytical queries are pushed back to Postgres from ClickHouse, allowing for efficient data consumption in user-facing applications. The key points include using PostgreSQL-backed dictionary in ClickHouse to accelerate joins, utilizing the "postgres function" and table engine, and performing a reverse ETL operation to push query results back to Postgres.