Last month, we acquired PeerDB, specializing in Postgres CDC, making it easy to replicate data to ClickHouse. This guide helps transitioning Postgres users understand ClickHouse’s data modeling for optimal benefits. PeerDB uses the ReplacingMergeTree engine for mapping PostgreSQL tables to ClickHouse efficiently, supporting append-only workloads. ClickHouse delivers exceptional real-time ingestion performance through deduplication with the Ordering Key. Surprisingly, ClickHouse doesn’t store NULL values by default, enhancing query performance. Deduplication techniques using argMax and window functions are explored, along with the importance of choosing the right ordering key in ClickHouse. Excitingly, additional blogs will delve into advanced data modeling topics for seamless migration.
https://clickhouse.com/blog/postgres-to-clickhouse-data-modeling-tips