ClickHouse
Summary
What it is
A column-oriented DBMS designed for real-time analytical queries, with native support for reading from and writing to S3.
Where it fits
ClickHouse occupies the performance tier above pure lakehouse queries. It can use S3 as a storage backend (S3-backed MergeTree) while maintaining its own columnar indexes for sub-second query performance — bridging the gap between S3 data lakes and dedicated analytics databases.
Misconceptions / Traps
- ClickHouse with S3 storage is not the same as querying S3 directly. ClickHouse maintains local indexes and metadata for performance; it uses S3 for durability and cost.
- The S3 table function (for ad-hoc S3 reads) and the S3-backed MergeTree engine (for persistent tables) are different features with different performance characteristics.
Key Connections
depends_onApache Parquet — reads/writes Parquet for S3 interopimplementsSeparation of Storage and Compute — S3-backed storage with independent computescoped_toS3, Lakehouse
Definition
What it is
A column-oriented database management system designed for real-time analytical queries, with native support for reading from and writing to S3.
Why it exists
Some analytical workloads require sub-second query performance on recent data, which pure S3-backed query engines cannot consistently deliver. ClickHouse uses S3 as a storage backend while maintaining its own columnar indexes for speed.
Primary use cases
Real-time analytics dashboards backed by S3 storage, log analytics with S3 archival, hybrid hot/cold query patterns.
Relationships
Outbound Relationships
depends_onimplementsInbound Relationships
used_byResources
Official ClickHouse documentation covering the column-oriented OLAP database engine, SQL dialect, and all table engines.
The primary ClickHouse repository — one of the most active C++ database projects, with the full analytical engine source.
ClickHouse's dedicated S3 integration page documents the S3 table function, S3Queue engine, S3-backed MergeTree, and S3 disk configuration.
Detailed ClickHouse changelog tracks every release including S3 engine improvements and storage backend changes.