head to head · open source

duckdb vs angle-grinder

duckdb has 42,747 GitHub stars, 4,176 forks, 858 open issues and last shipped yesterday. angle-grinder has 3,768 stars, 76 forks, 29 open issues and last shipped 9 months ago. duckdb leads on adoption by 1,034% (42,747 vs 3,768 stars). duckdb is written in C++ under MIT; angle-grinder is written in Rust under MIT. duckdb has attracted 10% as many forks as stars, angle-grinder 2%. duckdb was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (analytics), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

duckdb ★ 43K angle-grinder ★ 3.8K category Business Software

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Side by side

duckdb angle-grinder
GitHub stars ★ 43K ★ 3.8K
License MIT MIT
Written in C++ Rust
Last push 2026-11-02 2026-02-05
Forks ⑂ 4.2K ⑂ 76
Self-hosting Yes Yes
Data ownership Your server Your server

pick duckdb if

  • You weight community size — 43K stars and counting
  • You want the MIT license terms
  • Your stack matches C++
  • You value the larger contributor base for long-term maintenance

full duckdb profile →

pick angle-grinder if

  • You want the angle-grinder feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Rust
  • You evaluated both and angle-grinder fits your workflow better

full angle-grinder profile →

About duckdb

DuckDB DuckDB is a high performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use. DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, etc., with deep integrations with packages such as pandas and dplyr. For more information on using DuckDB, please refer to the DuckDB…

read the full duckdb overview →

About angle-grinder

angle grinder Slice and dice log files on the command line. Angle grinder allows you to parse, aggregate, sum, average, min/max, percentile, and sort your data. You can see it, live updating, in your terminal. Angle grinder is designed for when, for whatever reason, you don't have your data in graphite/honeycomb/kibana/sumologic/splunk/etc. but still want to be able to do sophisticated analytics. Angle grinder can process well above 1M rows per second (simple pipelines as high as 5M), so it's usable for fairly meaty aggregation. The results will live update in your terminal as data is processed. Angle grinder is…

read the full angle-grinder overview →

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Frequently asked questions

Is duckdb or angle-grinder more popular?

duckdb has 42,747 GitHub stars and angle-grinder has 3,768. duckdb has the larger community by that measure.

Are duckdb and angle-grinder free?

Both are open source. duckdb is licensed under MIT and angle-grinder under MIT. Neither carries a licence fee.

What is the difference between duckdb and angle-grinder?

duckdb is written in C++ and angle-grinder in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, duckdb or angle-grinder?

Choose duckdb if you want the larger community (42,747 stars) or its MIT licence terms. Choose angle-grinder if its feature set, stack or MIT licence fits better. Both are self-hostable.