InfluxDB vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

InfluxDB

Database

TimescaleDB

Database

Side-by-side comparison of developer tools
Scalable datastore for metrics, events, and real-time analytics
Time-series database built on PostgreSQL
GitHub Stars
⭐ 31,788
⭐ 23,769
Contributors
👥 696
👥 142
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Rust
C
Features
  • • Database
  • • Go
  • • Influxdb
  • • Metrics
  • • Monitoring
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Historian
  • • Iot
Integrations
No integrations listed
  • • postgresql
Momentum Score
24/100 (stable)
35/100 (slowing)
Community Health
56/100 (moderate)
30/100 (needs-attention)
Maturity Index
59/100 (growing)
24/100 (experimental)
Innovation Score
63/100 (progressive)
42/100 (evolving)
Risk Score (higher is safer)
60/100 (low)
23/100 (high)
Developer Experience
54/100 (needs-improvement)
37/100 (poor)
Links

InfluxDB Strengths

  • ✓ More popular (31,788 stars)
  • ✓ Larger community (696 contributors)

TimescaleDB Strengths

When to Use InfluxDB vs TimescaleDB

Use InfluxDB 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.

Data source: GitHub API

Last updated: 10/28/2026