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DuckDB

PublishedLast updated

DuckDB is an in-process analytical database that lets you query scraped CSV, Parquet, and JSON files with fast SQL, no server required.

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Reviewed profile

Quick verdict

DuckDB is for teams that want fast SQL analytics directly over scraped files. It is not a crawler, browser automation tool, or hosted warehouse.

Best for
  • SQL over scraped files
  • Embedded analytics in pipelines
  • Local data exploration
  • Python and JS workflows
Not ideal for
  • Crawler or browser automation
  • Hosted analytics procurement
  • Shared operational databases
Last verified
Jun 26, 2026

Key facts

  • Repositoryduckdb/duckdb, written in C++GitHub
  • LicenseOpen source (MIT)GitHub
  • GitHub35.6k stars and 2.9k forksGitHub
  • Downloads23.8M PyPI downloads/month and 616.9k npm downloads/monthPyPI
  • SDKsPython, JavaScript, Java, Rust, and C#Project docs

Compiled from public repository and package data; check DuckDB's site for current details.

Sources

github.com

Verified against the duckdb/duckdb repository and the PyPI package.

DuckDB is a fast, embeddable analytical database that brings SQL analytics directly to your application.

Key Features:

  • Zero Infrastructure - Run analytical queries without deploying or managing a database server.
  • Direct File Queries - Query CSV, Parquet, and JSON files in place without importing or loading.
  • Columnar Engine - Vectorized execution delivers fast aggregations and joins on large datasets.
  • Rich SQL Dialect - Window functions, CTEs, and nested types for complex data transformations.
  • Language Bindings - Native support for Python, R, Node.js, Java, and more.

Whether you're exploring scraped datasets locally, transforming crawl outputs in a pipeline, or prototyping analytics, DuckDB provides powerful SQL analysis with zero setup overhead.

Features:
Open SourceSelf-HostedETL PipelinePython SDKJavaScript SDKMulti-Language SDKsSQL Analytics

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