ClickHouse vs MongoDB: Rating, Votes and Features
- License: ClickHouse — Apache-2.0; MongoDB — SSPL-1.0.
- Data model: ClickHouse — Relational, Time-series; MongoDB — Document, Search, Vector.
- Workload: ClickHouse — Analytics (OLAP); MongoDB — Transactions (OLTP).
ClickHouse — November 2026: 3 votes, rating 9.3/10.
MongoDB — November 2026: 3 votes, rating 8.8/10.
| ClickHouse | MongoDB | |
|---|---|---|
| Category | database engine | database engine |
| Developer | ClickHouse, Inc. | MongoDB, Inc. |
| Created by | Alexey Milovidov | Dwight Merriman, Eliot Horowitz, Kevin Ryan |
| First release | 2016 | 2009 |
| License | Apache-2.0 | SSPL-1.0 |
| Open source | Yes | No |
| Pricing | Free, with paid plans | Free, with paid plans |
| Website | https://clickhouse.com | https://www.mongodb.com |
| Written in | C++ | C++ |
| Data model | Relational, Time-series | Document, Search, Vector |
| Storage layout | Column-oriented | Document |
| Workload | Analytics (OLAP) | Transactions (OLTP) |
| Analytics architecture | Data warehouse | Not an analytics platform |
| Query language | SQL | MQL |
| ACID transactions | No | Yes |
| Schema | Strict | Flexible |
| Deployment | Distributed cluster, Managed cloud, Server | Distributed cluster, Managed cloud, Server |
| Scaling | Sharding | Sharding |
| Create, read, update, delete | Create: fast (Built for large batch inserts); Read: fast (Very fast aggregations and scans); Update: slow (Mutations rewrite data parts in the background); Delete: moderate (Lightweight deletes hide rows, merges remove them) | Create: fast (Fast document inserts); Read: fast (Whole documents in one read); Update: fast (Atomic in-place field updates); Delete: fast (Cheap single and bulk deletes) |