ClickHouse
Fast open-source columnar database for real-time analytics and OLAP workloads
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How the 8.0 was reached
- Quality of output8/10
50,143 GitHub stars on an active project show heavy adoption; 8,014 open issues; benchmark claims are the vendor's own. Source: github.com
- Ease of use8/10
One-line curl install, a cloud trial with $300 credits, and docs with quickstart and tutorials. Source: clickhouse.com
- Pricing value8/10
Open source is free forever, and the cloud has a 30-day trial and starts at $50/month. Source: clickhouse.com
- API and integration quality8/10
100+ integrations listed on the homepage and documented reference guides. Source: clickhouse.com
- Solves the problem it claims to solve8/10
50k stars on an active project show it delivers as an OLAP database; the speed claim is not independently benchmarked here. Source: github.com
8.0/10 is the average of the five criterion scores above. The evidence comes from 3 different sources.Scores come from public evidence (the tool's own pages and documentation, and independent reviews); we do not test every tool hands-on. Scored 29 September 2026, on version 1 of our five-criteria scoring method.
Pricing
- Self-hosted
- Full SQL support
- Column-oriented storage
- Distributed architecture
- Fully managed
- Auto-scaling
- Multi-cloud support
- Built-in monitoring
- Deployed in your cloud
- Full control
- Enhanced security
- Custom configurations
For the full list of what each plan includes, and current prices, see clickhouse.com.
Key Features
- Column-oriented storage for fast analytics
- Real-time data ingestion and querying
- SQL interface with advanced functions
- Horizontal scaling and distributed queries
- High compression ratios
Pros & Cons
Pros
- Exceptional query performance on analytical workloads
- Open source with strong community
- Scales horizontally across multiple nodes
- Excellent compression reduces storage costs
- SQL-compatible with powerful extensions
Cons
- Complex setup and tuning for optimal performance
- Limited transaction support compared to OLTP databases
- Steep learning curve for advanced features
- Memory-intensive for large datasets
- Requires careful data modeling for best results
ClickHouse excels at analytical workloads with blazing-fast query performance and excellent scalability. While it requires expertise to optimize, it's become the go-to choice for real-time analytics, observability, and data warehousing at scale.
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