MongoDB vs TimescaleDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

MongoDB

Database

TimescaleDB

Database

Side-by-side comparison of developer tools
NoSQL document database
Time-series database built on PostgreSQL
GitHub Stars
⭐ 28,519
⭐ 23,443
Contributors
👥 1,487
👥 139
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C++
C
Features
  • • C Plus Plus
  • • Database
  • • Mongodb
  • • Nosql
  • • Analytics
  • • Database
  • • Financial Analysis
  • • Historian
  • • Iot
Integrations
  • • mongodb
  • • postgresql
Momentum Score
71/100 (stable)
26/100 (slowing)
Community Health
81/100 (good)
29/100 (needs-attention)
Maturity Index
70/100 (established)
23/100 (experimental)
Innovation Score
58/100 (progressive)
34/100 (traditional)
Risk Score (higher is safer)
75/100 (minimal)
22/100 (high)
Developer Experience
53/100 (needs-improvement)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

MongoDB Strengths

  • ✓ More popular (28,519 stars)
  • ✓ Larger community (1,487 contributors)

TimescaleDB Strengths

  • ✓ More features (5 listed)

When to Use MongoDB vs TimescaleDB

Use MongoDB 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

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

More Comparisons

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Data source: GitHub API

Last updated: 8/30/2026