Product Rating Aug 12 2025
Real-time analytics, low latency, and practical implications of column-based architecture
An in-depth dive into query rate, data model, and TCO in OLAP and event analytics scenarios with ClickHouse.
“With the right data model, ClickHouse speeds up BI panels while reducing cost.”
ClickHouse Product Review
Thanks to its column-based architecture, ClickHouse offers exceptional performance in OLAP and event analytics workloads. Fast scanning and compression ratios for high-cardinality data lower total cost of ownership (TCO).
Test Setup
- Data set: activity logs (page views, clicks, conversions)
- Questions: Top N, funnel analysis, time series aggregations
- Comparison: line-based RDBMS vs. classic OLAP solutions
Featured Strengths
- Low storage and fast scanning with column-based compression
- Flexible schema with materialized view and MergeTree family
- Near real-time ingest and interrogation
Considerations
- Schema design (partitioning, primary key) determines performance
- Join heavy reports require a denormalization strategy
Usage Scenarios
- Product analytics, marketing funnel, and A/B testing reports
- Log/telemetry analytics and security visibility
Conclusion: With the right data model, ClickHouse speeds up BI panels and keeps the cost down.
