ClickHouse vs MongoDB: Key Differences & When to Use Each

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

Key Differences

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

Feature

ClickHouse

Database

MongoDB

Database

Side-by-side comparison of developer tools
Column-oriented database for OLAP
NoSQL document database
GitHub Stars
⭐ 47,194
⭐ 28,286
Contributors
👥 2,844
👥 1,431
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
C++
C++
Features
  • • Ai
  • • Analytics
  • • Big Data
  • • Clickhouse
  • • Cloud Native
  • • C Plus Plus
  • • Database
  • • Mongodb
  • • Nosql
Integrations
No integrations listed
  • • mongodb
Momentum Score
95/100 (slowing)
66/100 (stable)
Community Health
77/100 (good)
81/100 (good)
Maturity Index
85/100 (mature)
71/100 (established)
Innovation Score
83/100 (innovative)
59/100 (progressive)
Risk Score (higher is safer)
94/100 (minimal)
76/100 (minimal)
Developer Experience
95/100 (excellent)
54/100 (needs-improvement)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

ClickHouse Strengths

  • ✓ More popular (47,194 stars)
  • ✓ Larger community (2,844 contributors)
  • ✓ More features (5 listed)

MongoDB Strengths

When to Use ClickHouse vs MongoDB

Use ClickHouse when its strengths align better with your stack and team needs, and choose MongoDB when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

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

More Comparisons

View ClickHouse → View MongoDB → Search More Tools →

Data source: GitHub API

Last updated: 5/4/2026