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
⭐ 31,476
⭐ 22,533
Contributors
👥 690
👥 133
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Rust
C
Features
  • Database
  • Go
  • Influxdb
  • Metrics
  • Monitoring
  • Analytics
  • Database
  • Financial Analysis
  • Hacktoberfest
  • Iot
Integrations
No integrations listed
  • • postgresql
Momentum Score
26/100 (stable)
27/100 (slowing)
Community Health
57/100 (moderate)
27/100 (needs-attention)
Maturity Index
57/100 (growing)
23/100 (experimental)
Innovation Score
59/100 (progressive)
34/100 (traditional)
Risk Score (higher is safer)
53/100 (low)
18/100 (high)
Developer Experience
54/100 (needs-improvement)
36/100 (poor)
Links

InfluxDB Strengths

  • ✓ More popular (31,476 stars)
  • ✓ Larger community (690 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: 5/1/2026