ClickHouse vs InfluxDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

ClickHouse

Database

InfluxDB

Database

Side-by-side comparison of developer tools
Column-oriented database for OLAP
Scalable datastore for metrics, events, and real-time analytics
GitHub Stars
⭐ 47,148
⭐ 31,476
Contributors
👥 2,844
👥 690
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C++
Rust
Features
  • • Ai
  • • Analytics
  • • Big Data
  • • Clickhouse
  • • Cloud Native
  • • Database
  • • Go
  • • Influxdb
  • • Metrics
  • • Monitoring
Integrations
No integrations listed
No integrations listed
Momentum Score
95/100 (stable)
26/100 (stable)
Community Health
77/100 (good)
57/100 (moderate)
Maturity Index
85/100 (mature)
57/100 (growing)
Innovation Score
83/100 (innovative)
59/100 (progressive)
Risk Score (higher is safer)
94/100 (minimal)
53/100 (low)
Developer Experience
95/100 (excellent)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

ClickHouse Strengths

  • ✓ More popular (47,148 stars)
  • ✓ Larger community (2,844 contributors)

InfluxDB Strengths

When to Use ClickHouse vs InfluxDB

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

Related comparisons

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

More Comparisons

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Data source: GitHub API

Last updated: 5/1/2026