Why is ClickHouse so fast?
Columnar storage
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.
Use cases
Real-time analytics
Analyze data as it’s generated for instant insights and rapid decision-making.
Customer-facing analytics
Provide customers with powerful, interactive data insights directly in your product.
Operational analytics
Monitor and optimize business processes in real-time for improved efficiency.
Observability
Gain deep visibility into complex systems for proactive issue detection and resolution.
Business intelligence
Transform raw data into actionable insights to drive strategic business decisions.
Data warehouse
Centralize and store large volumes of data for comprehensive analysis and reporting.