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
⭐ 28,423
⭐ 23,018
Contributors
👥 1,467
👥 138
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C++
C
Features
  • C Plus Plus
  • Database
  • Mongodb
  • Nosql
  • Analytics
  • Database
  • Financial Analysis
  • Hacktoberfest
  • Iot
Integrations
  • • mongodb
  • • postgresql
Momentum Score
70/100 (stable)
38/100 (slowing)
Community Health
81/100 (good)
30/100 (needs-attention)
Maturity Index
71/100 (established)
23/100 (experimental)
Innovation Score
59/100 (progressive)
34/100 (traditional)
Risk Score (higher is safer)
76/100 (minimal)
19/100 (high)
Developer Experience
54/100 (needs-improvement)
36/100 (poor)
Links

MongoDB Strengths

  • ✓ More popular (28,423 stars)
  • ✓ Larger community (1,467 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.

Data source: GitHub API

Last updated: 7/2/2026