ClickHouse
Depends
Confidence: High
Buy if your team queries billions of rows and has data-engineering capacity to run it.
Comparison
ClickHouse and Time-Series PostgreSQL at Petabyte Scale both land on Depends.
Buy if your team queries billions of rows and has data-engineering capacity to run it.
Buy if you run Postgres and face serious time-series volume . ingestion speed, compression, and full SQL are real strengths, and Cloudflare runs production workloads on it.
| Compare | ClickHouse | Time-Series PostgreSQL at Petabyte Scale |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | Real-time analytics on billions of rows | IoT and metrics ingestion at scale |
| Who it's not for | Small apps needing a simple CRUD database | Small apps . plain Postgres handles modest metrics fine |
| Privacy | Active project with a public security changelog; several CVEs disclosed over the years, including RCE and SSRF issues. | One known privilege-escalation CVE in TimescaleDB 2.8.0-2.9.2; no breaches found in sources reviewed.13 |
| Support quality | Support program exists but no quality evidence | No support evidence in sources |
| Public sentiment | Users overwhelmingly praise speed, stability, and cost, while flagging operational complexity at extreme scale and thin GUI tooling.² | G2 reviewers consistently praise ease of use, intuitive interface, and fast data processing.14 |
| Biggest gotcha | Cloud pricing separates compute and storage; heavy ingest drives costs up | Enterprise pricing is quote-only . costs stay opaque until you negotiate10 |