# DuckDB

DuckDB is an analytical in-process SQL database management system

Repository: https://github.com/duckdb/duckdb
Canonical: https://ross.abutalabs.com/products/duckdb
Homepage: http://www.duckdb.org
Language: C++
License: MIT
License Family: permissive
Topics: sql, database, olap, analytics, embedded-database
Last push: 2026-08-26T12:53:33+00:00
Link (homepage): http://www.duckdb.org
Link (site_page): https://www.duckdb.org/docs
Link (site_page): https://www.duckdb.org/docs/current/quack/overview
Link (site_page): https://www.duckdb.org/docs/current/guides/overview
Link (site_page): https://www.duckdb.org/docs/current/data/overview

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 94, longevity 100
- inputs: {"age_days": 2990, "days_push": 7, "days_rel": 42, "gap_med": 27, "n_releases_24m": 22}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 40675, forks 3620 (observed 2026-08-28T04:12:08.294677+00:00)

## What it is
DuckDB is an in-process analytical SQL database management system (OLAP) written in C++, designed to be fast, portable, and easy to embed. It offers a rich PostgreSQL-inspired SQL dialect, direct querying of CSV, JSON, Parquet, and Iceberg files, and client libraries for Python, R, Java, Node.js, Rust, Go, and WebAssembly.

## Use cases
- run analytical SQL queries on local CSV and Parquet files
- embed an OLAP database in a Python data science workflow
- query pandas or R data frames with SQL
- process large datasets on a laptop without a database server
- read and write Apache Iceberg lakehouse tables
- run SQL in the browser via WebAssembly
- replace SQLite for analytics-heavy workloads

## When to choose
- you need fast analytical (OLAP) queries over local or object-storage files
- you want an embedded database with no server to manage
- you need SQL over Parquet, CSV, JSON, or Iceberg data
- you want a rich SQL dialect with window functions and complex types

## When to avoid
- you need a high-concurrency transactional (OLTP) database for a web app backend
- you need multi-client network access to a shared database server
- you need horizontal scaling across a cluster

## Facets
- artifact type: library
- maturity: stable
- function: database, search-engine, cli, data-science, etl
- domain: databases, data-science, analytics, big-data
- platform: windows, python, cpp, rust, go, jvm, wasm, cli, cross-platform
- tags: olap, sql, embedded-database, in-process, parquet, csv, lakehouse, columnar, data-engineering, linux, macos, nodejs

## Member repositories
- duckdb/duckdb (main) score 97
- duckdb/duckdb-wasm (sdk) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:08.294677+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:23:24.915869+00:00, confidence not recorded.
  - readme: https://github.com/duckdb/duckdb (fetched 2026-08-28T04:12:08.294677+00:00, sha 8a28bbfb49fa)
  - homepage: http://www.duckdb.org (fetched 2026-08-29T07:46:33.469701+00:00, sha 0379d1ffbbb4)
  - site_page: https://www.duckdb.org/install (fetched 2026-08-29T07:46:33.482155+00:00, sha 50827d1c59fa)
  - site_page: https://www.duckdb.org/docs (fetched 2026-08-29T07:46:33.479855+00:00, sha d4f27789e3dc)
  - site_page: https://www.duckdb.org/docs/current/quack/overview (fetched 2026-08-29T07:46:33.484563+00:00, sha 8300ce01da55)
  - site_page: https://www.duckdb.org/docs/current/guides/overview (fetched 2026-08-29T07:46:33.486885+00:00, sha 793beb75b039)
  - site_page: https://www.duckdb.org/docs/current/data/overview (fetched 2026-08-29T07:46:33.489351+00:00, sha ef7a2c79044d)
  - site_page: https://www.duckdb.org/docs/current/clients/overview (fetched 2026-08-29T07:46:33.492055+00:00, sha 78ef1315ddd3)
  - site_page: https://www.duckdb.org/docs/current/sql/introduction (fetched 2026-08-29T07:46:33.494323+00:00, sha 32c59fac9d05)
  - site_page: https://www.duckdb.org/faq (fetched 2026-08-29T07:46:33.497492+00:00, sha 528b9325a836)
- Data as of 2026-08-30T08:39:29.467469+00:00.