ClickHouse vs DuckDB

ClickHouse

Column-oriented OLAP database for real-time analytics

DuckDB

In-process analytical database (SQLite for analytics)

Feature ClickHouse DuckDB
Category Databases Databases
Sub-category Analytics DB Analytics DB
Maturity mature stable
Complexity advanced beginner
Performance tier medium medium
License Apache-2.0 MIT
License type permissive permissive
Pricing fully free fully free
GitHub stars 40.0K 28.0K
Contributors 1.0K 300
Commit frequency weekly weekly
Plugin ecosystem none none
Docs quality good good
Backing org ClickHouse Inc DuckDB Foundation
Funding model vc_backed foundation
Min RAM 4 GB 256 MB
Min CPU cores 4 1
Scaling pattern distributed single_node
Self-hostable Yes Yes
K8s native No No
Offline capable Yes Yes
Vendor lock-in none none
Languages C++ C++
API type REST REST
Protocols HTTP HTTP
Deployment docker, apt, binary docker, apt, binary
SDK languages
Team size fit solo, small, medium, enterprise solo, small, medium, enterprise
First release 2020 2020
Latest version

When to use ClickHouse

  • Primary use: real-time-dashboards
  • Primary use: log-analytics
  • Primary use: time-series-analytics

When to use DuckDB

  • Primary use: local-analytics
  • Primary use: data-science
  • Primary use: etl
Full ClickHouse profile → Full DuckDB profile → All comparisons