ClickHouse vs Apache Druid
ClickHouse
Column-oriented OLAP database for real-time analytics
Apache Druid
Real-time analytics database for event-driven data
| Feature | ClickHouse | Apache Druid |
|---|---|---|
| Category | Databases | Databases |
| Sub-category | Analytics DB | Analytics DB |
| Maturity | mature | mature |
| Complexity | advanced | advanced |
| Performance tier | medium | medium |
| License | Apache-2.0 | Apache-2.0 |
| License type | permissive | permissive |
| Pricing | fully free | fully free |
| GitHub stars | 40.0K | 14.0K |
| Contributors | 1.0K | 400 |
| Commit frequency | weekly | weekly |
| Plugin ecosystem | none | none |
| Docs quality | good | good |
| Backing org | ClickHouse Inc | Apache Foundation / Imply |
| Funding model | vc_backed | foundation |
| Min RAM | 4 GB | 4 GB |
| Min CPU cores | 4 | 4 |
| Scaling pattern | distributed | distributed |
| Self-hostable | Yes | Yes |
| K8s native | No | No |
| Offline capable | Yes | Yes |
| Vendor lock-in | none | none |
| Languages | C++ | Java |
| API type | REST | REST |
| Protocols | HTTP | HTTP |
| Deployment | docker, apt, binary | docker, apt, binary |
| SDK languages | — | — |
| Team size fit | solo, small, medium, enterprise | solo, small, medium, enterprise |
| First release | 2020 | 2020 |
| Latest version | — | — |
When to use ClickHouse
- ✓ Primary use: real-time-dashboards
- ✓ Primary use: log-analytics
- ✓ Primary use: time-series-analytics
When to use Apache Druid
- ✓ Primary: real-time-dashboards
- ✓ Primary: event-analytics
- ✓ Primary: streaming-analytics
ClickHouse anti-patterns
Apache Druid anti-patterns
- ✕ Complex to operate
- ✕ High resource requirements
- ✕ Not for transactional workloads
- ✕ Steep learning curve