PostgreSQL vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

PostgreSQL

Database

TimescaleDB

Database

Side-by-side comparison of developer tools
Advanced open source relational database
Time-series database built on PostgreSQL
GitHub Stars
⭐ 22,554
⭐ 23,750
Contributors
👥 58
👥 141
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C
C
Features
  • • Open Source
  • • database
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Historian
  • • Iot
Integrations
  • • postgresql
  • • postgresql
Momentum Score
31/100 (slowing)
32/100 (slowing)
Community Health
21/100 (needs-attention)
30/100 (needs-attention)
Maturity Index
24/100 (experimental)
24/100 (experimental)
Innovation Score
18/100 (traditional)
42/100 (evolving)
Risk Score (higher is safer)
15/100 (high)
23/100 (high)
Developer Experience
14/100 (poor)
37/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

PostgreSQL Strengths

TimescaleDB Strengths

  • ✓ More popular (23,750 stars)
  • ✓ Larger community (141 contributors)
  • ✓ More features (5 listed)

When to Use PostgreSQL vs TimescaleDB

Use PostgreSQL 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

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

More Comparisons

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Data source: GitHub API

Last updated: 10/25/2026