ClickHouse vs TimescaleDB
On the evidence we track, ClickHouse leads this comparison with a composite score of 63/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for time-series databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
ClickHouse
LeaderAn open-source columnar database system designed to handle large-scale analytical workloads with extremely low latency. Excels at real-time analytics, observability (logs, metrics, traces), data warehousing, and AI/ML applications.
TimescaleDB
TimescaleDB is a PostgreSQL extension designed to handle machine data and time-series workloads at scale, enabling operational databases for IoT platforms and physical-world monitoring.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
ClickHouse
LeaderFrom $25.30/TB/mo + $0.2181/compute unit/hr. 30-day free trial.
- Basic$25.30/TB/mo + $0.2181/compute unit/hr
- Up to 1 TB storage
- 8-12 GiB total memory
- Backups every 24h, retained for 1 day
- 1 availability zone
- Export backups to own cloud account
- +4 more
- Scale$25.30/TB/mo + $0.2985/compute unit/hr
- Unlimited storage
- Configurable memory
- Compute-compute separation
- Configurable backups
- 2+ availability zones
- +5 more
- Enterprise$25.30/TB/mo + $0.3903/compute unit/hr
- Everything in Scale plan
- SAML SSO
- Private regions
- Manual vertical scaling for custom profiles
- Enterprise support with 30 min response time for Severity 1 issues
- +6 more
TimescaleDB
Open source core; Cloud managed and Enterprise self-hosted options available; contact sales for pricing details
- Cloud Basic SupportFree
- Email support
- General questions
- Best practices guidance
- Cloud Production SupportContact sales
- 24x7 support for Severity 1-2
- 1h response for critical issues
- Support portal access
- On-call assistance
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Kafka
ClickHouse
Leader- Amazon S3
- Airbyte
- Vector
- PostgreSQL
- MySQL
TimescaleDB
- S3
- Iceberg
- AWS
- Azure
- Observability tools
- Postgres ecosystem
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.