All stacks · Warehouses & analytics
Columnar OLAP for high-cardinality analytics and real-time inserts.
ClickHouseORDER BY is the only index that matters, one-row inserts explode parts, mutations rewrite data, and ClickHouse is not a warehouse stand-in. Batch the writes.
ClickHouse is the columnar OLAP engine teams pick when the warehouse is too slow or too expensive for high-cardinality, append-heavy analytics — product analytics, logs, and real-time dashboards.
MergeTree, ORDER BY as the index, and parts that must merge: that is the mental model. It is not a Snowflake clone and it is a poor OLTP stand-in.
Warehouse for governed, SQL-analyst, multi-team platforms. ClickHouse when ingest + scan latency is the product and you can staff the ops. Many companies run both: warehouse for finance, ClickHouse for the product loop.
Not if you need transactions, frequent point updates, or a general-purpose app database. Keep Postgres (or similar) as OLTP and treat ClickHouse as the analytic replica.
Too many parts (tiny inserts), a wrong ORDER BY, or SELECT * on wide rows. Watch part counts and merge lag like disk usage.
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