ClickHouse excels at OLAP workloads with column-oriented storage. Queries on billions of rows complete in milliseconds. Compression reduces storage costs significantly. SQL interface feels familiar to analysts.
Architecture Benefits
Column storage reads only needed data. Vectorized execution processes data in batches. Compression algorithms optimize for column patterns. Distributed queries scale across clusters.
- Design schemas for analytical query patterns
- Use appropriate engine types for different use cases
- Optimize sorting keys for common filter columns
- Configure materialized views for pre-aggregation
- Monitor query performance and resource usage
Use Cases
Event analytics process user behavior data. Log analysis queries system events. Time series data stores metrics efficiently. Business intelligence dashboards query live data.