# DuckDB In-process SQL database. Source: [Console review]() Website: [https://duckdb.org/]() Profile updated: 2026-10-16 ## Supported tech stack Research checked: 2026-10-11 ### Runs on - Linux (Operating system) - Windows (Operating system) - macOS (Operating system) ### SDK support - Go (Language) - Java (Language) - Node.js (Runtime) - Python (Language) - Rust (Language) ### Integrates with - Docker (Integration) Source: [Research source]() Documented compatibility; coverage may be incomplete. Written in describes implementation, not user-project language support. Official installation page lists Linux, macOS, Windows, Docker and Python, Go, Java, Node.js and Rust clients. ## Console’s review — 2022-10-27 Reviewed: 2022-10-27 Author: [David Mytton]() Citation: [This review]() ### What we like Designed for very fast data analysis, particularly where whole tables or large joins are involved. Simple to operate - no dependencies and nothing to install because it runs in the host process, thereby increasing performance. Supports complex SQL queries. Fast loading of data from CSV, Parquet, Postgres, SQLite, read/write data from S3. ### Tradeoffs Not designed for high volume transactional queries or where the database needs to be written to from multiple processes. This review reflects Console’s assessment at publication on 2022-10-27. Features and limitations may have changed since the review date. ## Is DuckDB a fit? Based on [Console’s review published on 2022-10-27](). Summary updated: 2026-10-16 ### Who it’s for Developers performing fast data analysis should consider DuckDB ### Why consider it DuckDB enables very fast data analysis ### Keep in mind DuckDB is not suitable for high volume transactional queries or multi-process writes [Selection criteria]() · [About Console]() · [Browse tools]()