Data is stored in columns rather than rows, allowing for efficient compression and faster analytical queries.
Vectorized query execution
ClickHouse processes data in chunks, utilizing modern CPU architectures more effectively.
Parallel processing
Queries are automatically parallelized across multiple CPU cores and servers.
Data compression
Advanced compression algorithms reduce I/O operations and memory usage.
Optimized data structures
ClickHouse uses specialized data structures tailored for analytical workloads.
Just-in-time compilation
Complex queries are compiled to native machine code for faster execution.
How fast? See the benchmarks.These features combined allow ClickHouse to process billions of rows and gigabytes of data in seconds, making it ideal for real-time analytics on large datasets.