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 Neon.
An open-source columnar database for real-time analytics on very large datasets. · Serverless Postgres with branching, scale-to-zero, and storage/compute separation.
Compare any pair
13 tools · 78 pairs
vs
§ Quick Verdict
Pick ClickHouse if you need analytics, time-series or log storage.
Pick Neon if you need online transaction processing (oltp) or edge deployment.
§ At a Glance
- Analytical databases
- Category
- Postgres-based platforms
- 2016
- First released
- 2022
- Apache 2
- License
- Apache 2
- C++
- Written in
- Rust
- Yes
- Self-hostable
- Yes
- Yes
- Free tier
- Yes
- 47,462
- GitHub stars
- 21,974
- yesterday
- Last push
- 1mo ago
- v26.1.12.23-stable
- Latest release
- release-proxy-8853
§ Use Case Coverage
● fits · ○ not a primary fit
Where each one fits.
- ● ○
Analytics
Aggregations and scans over large datasets.
- ○ ●
Edge deployment
Database close to users in serverless / edge runtimes.
- ● ○
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 Neon
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 · Neon
Neon.
Serverless Postgres with branching, scale-to-zero, and storage/compute separation.
Primary use cases
- · Online transaction processing (OLTP)
- · Edge deployment
§ Also Worth Comparing
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