Cassandra vs ClickHouse: Key Differences & When to Use Each

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

Key Differences

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

Feature

Cassandra

Database

ClickHouse

Database

Side-by-side comparison of developer tools
Highly-scalable distributed database
Column-oriented database for OLAP
GitHub Stars
⭐ 9,733
⭐ 47,194
Contributors
👥 670
👥 2,844
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C++
Features
  • • Cassandra
  • • Database
  • • Java
  • • Ai
  • • Analytics
  • • Big Data
  • • Clickhouse
  • • Cloud Native
Integrations
  • • prometheus
No integrations listed
Momentum Score
89/100 (stable)
95/100 (slowing)
Community Health
57/100 (moderate)
77/100 (good)
Maturity Index
50/100 (emerging)
85/100 (mature)
Innovation Score
23/100 (traditional)
83/100 (innovative)
Risk Score (higher is safer)
53/100 (low)
94/100 (minimal)
Developer Experience
21/100 (poor)
95/100 (excellent)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Cassandra Strengths

ClickHouse Strengths

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

When to Use Cassandra vs ClickHouse

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

Related comparisons

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

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Data source: GitHub API

Last updated: 5/4/2026