Elasticsearch vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

Elasticsearch

Database

TimescaleDB

Database

Side-by-side comparison of developer tools
Distributed RESTful search and analytics engine
Time-series database built on PostgreSQL
GitHub Stars
⭐ 76,617
⭐ 22,533
Contributors
👥 2,471
👥 133
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Java
C
Features
  • • Elasticsearch
  • • Java
  • • Search Engine
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Hacktoberfest
  • • Iot
Integrations
  • • elasticsearch
  • • postgresql
Momentum Score
79/100 (stable)
27/100 (slowing)
Community Health
95/100 (excellent)
27/100 (needs-attention)
Maturity Index
93/100 (mature)
23/100 (experimental)
Innovation Score
65/100 (progressive)
34/100 (traditional)
Risk Score (higher is safer)
87/100 (minimal)
18/100 (high)
Developer Experience
54/100 (needs-improvement)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Elasticsearch Strengths

  • ✓ More popular (76,617 stars)
  • ✓ Larger community (2,471 contributors)

TimescaleDB Strengths

  • ✓ More features (5 listed)

When to Use Elasticsearch vs TimescaleDB

Use Elasticsearch 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

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

More Comparisons

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Data source: GitHub API

Last updated: 5/1/2026