ClickHouse vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

ClickHouse

Database

TimescaleDB

Database

Side-by-side comparison of developer tools
Column-oriented database for OLAP
Time-series database built on PostgreSQL
GitHub Stars
⭐ 47,194
⭐ 22,557
Contributors
👥 2,844
👥 134
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C++
C
Features
  • • Ai
  • • Analytics
  • • Big Data
  • • Clickhouse
  • • Cloud Native
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Hacktoberfest
  • • Iot
Integrations
No integrations listed
  • • postgresql
Momentum Score
95/100 (slowing)
32/100 (slowing)
Community Health
77/100 (good)
27/100 (needs-attention)
Maturity Index
85/100 (mature)
23/100 (experimental)
Innovation Score
83/100 (innovative)
34/100 (traditional)
Risk Score (higher is safer)
94/100 (minimal)
18/100 (high)
Developer Experience
95/100 (excellent)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

ClickHouse Strengths

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

TimescaleDB Strengths

When to Use ClickHouse vs TimescaleDB

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

Related comparisons

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

More Comparisons

View ClickHouse → View TimescaleDB → Search More Tools →

Data source: GitHub API

Last updated: 5/4/2026