About · ClickHouse
ClickHouse.
An open-source columnar database for real-time analytics on very large datasets.
Primary use cases
- · Analytics
- · Time-series
- · Log storage
Index Head-to-Head
§ Head-to-Head
ClickHouse vs MongoDB.
An open-source columnar database for real-time analytics on very large datasets. · A document database with flexible schemas, horizontal scaling, and a polished managed offering.
Compare any pair
13 tools · 78 pairs
vs
§ Quick Verdict
Pick ClickHouse if you need analytics, time-series or log storage.
Pick MongoDB if you need document storage or online transaction processing (oltp).
§ At a Glance
- Analytical databases
- Category
- Document
- 2016
- First released
- 2009
- Apache 2
- License
- SSPL
- C++
- Written in
- C++
- Yes
- Self-hostable
- Yes
- Yes
- Free tier
- Yes
- 47,462
- GitHub stars
- 28,323
- yesterday
- Last push
- yesterday
- v26.1.12.23-stable
- Latest release
- —
§ Use Case Coverage
● fits · ○ not a primary fit
Where each one fits.
- ● ○
Analytics
Aggregations and scans over large datasets.
- ○ ●
Document storage
JSON-shaped, self-contained records.
- ● ○
Log storage
High-throughput append-mostly event ingestion.
- ○ ●
Online transaction processing (OLTP)
Application traffic — reads and writes from a web app.
- ● ○
Time-series
Metrics, IoT, financial ticks, monitoring data.
ClickHouse MongoDB
Coverage reflects each tool's primary, well-supported use cases — not every workload it can technically handle. Tools listed as missing a case can often serve it with extra work, but a tool designed for it will be a better default.
About · MongoDB
MongoDB.
A document database with flexible schemas, horizontal scaling, and a polished managed offering.
Primary use cases
- · Document storage
- · Online transaction processing (OLTP)
§ Also Worth Comparing
6 pairs