ClickHouse
Depends
Confidence: High
Buy if your team queries billions of rows and has data-engineering capacity to run it.
Comparison
ClickHouse and Apache Doris both land on Depends.
Buy if your team queries billions of rows and has data-engineering capacity to run it.
Buy if you run petabyte-scale, real-time analytics and have engineers to self-manage a distributed database.
| Compare | ClickHouse | Apache Doris |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | Real-time analytics on billions of rows | Data platform teams at petabyte scale |
| Who it's not for | Small apps needing a simple CRUD database | Small teams wanting simple BI or reports |
| Privacy | Active project with a public security changelog; several CVEs disclosed over the years, including RCE and SSRF issues. | No known public vulnerabilities found in the sources reviewed. |
| Support quality | Support program exists but no quality evidence | Only VeloDB trial evidence; no SLA data |
| Public sentiment | Users overwhelmingly praise speed, stability, and cost, while flagging operational complexity at extreme scale and thin GUI tooling.² | Independent user reviews are scarce . one engineering-focused review rates Doris 4/5, with most available content coming from official or comparison pages.14 |
| Biggest gotcha | Cloud pricing separates compute and storage; heavy ingest drives costs up | Free core, but petabyte MPP clusters demand infra spend and engineer headcount; VeloDB paid pricing undisclosed beyond trial16 |