Cassandra vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

Cassandra

Database

TimescaleDB

Database

Side-by-side comparison of developer tools
Highly-scalable distributed database
Time-series database built on PostgreSQL
GitHub Stars
⭐ 10,117
⭐ 23,750
Contributors
👥 696
👥 141
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C
Features
  • • Cassandra
  • • Database
  • • Java
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Historian
  • • Iot
Integrations
  • • prometheus
  • • postgresql
Momentum Score
79/100 (slowing)
32/100 (slowing)
Community Health
56/100 (moderate)
30/100 (needs-attention)
Maturity Index
49/100 (emerging)
24/100 (experimental)
Innovation Score
24/100 (traditional)
42/100 (evolving)
Risk Score (higher is safer)
52/100 (low)
23/100 (high)
Developer Experience
22/100 (poor)
37/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Cassandra Strengths

  • ✓ Larger community (696 contributors)

TimescaleDB Strengths

  • ✓ More popular (23,750 stars)
  • ✓ More features (5 listed)

When to Use Cassandra vs TimescaleDB

Use Cassandra 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

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

More Comparisons

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Data source: GitHub API

Last updated: 10/25/2026