ClickHouse vs PostgreSQL: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare ClickHouse and PostgreSQL across features, pricing, integrations, and community metrics. ClickHouse / PostgreSQL.

Feature

ClickHouse

Database

PostgreSQL

Database

Side-by-side comparison of developer tools
Column-oriented database for OLAP
Advanced open source relational database
GitHub Stars
⭐ 47,194
⭐ 20,800
Contributors
👥 2,844
👥 58
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C++
C
Features
  • • Ai
  • • Analytics
  • • Big Data
  • • Clickhouse
  • • Cloud Native
  • • Open Source
  • • database
Integrations
No integrations listed
  • • postgresql
Momentum Score
95/100 (slowing)
28/100 (stable)
Community Health
77/100 (good)
19/100 (needs-attention)
Maturity Index
85/100 (mature)
23/100 (experimental)
Innovation Score
83/100 (innovative)
18/100 (traditional)
Risk Score (higher is safer)
94/100 (minimal)
14/100 (high)
Developer Experience
95/100 (excellent)
13/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

ClickHouse Strengths

  • ✓ More popular (47,194 stars)
  • ✓ Larger community (2,844 contributors)
  • ✓ More features (5 listed)

PostgreSQL Strengths

When to Use ClickHouse vs PostgreSQL

Use ClickHouse when its strengths align better with your stack and team needs, and choose PostgreSQL when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

ClickHouse vs Elasticsearch → PostgreSQL vs Elasticsearch → ClickHouse vs Redis → PostgreSQL vs Redis → ClickHouse vs TiDB → PostgreSQL vs TiDB → ClickHouse vs CockroachDB → PostgreSQL vs CockroachDB → ClickHouse vs InfluxDB → PostgreSQL vs InfluxDB → ClickHouse vs MongoDB → PostgreSQL vs MongoDB →

More Comparisons

View ClickHouse → View PostgreSQL → Search More Tools →

Data source: GitHub API

Last updated: 5/4/2026