head to head · open source

duckdb vs ktx

duckdb has 42,747 GitHub stars, 4,176 forks, 858 open issues and last shipped yesterday. ktx has 1,628 stars, 110 forks, 52 open issues and last shipped 12 days ago. duckdb leads on adoption by 2,526% (42,747 vs 1,628 stars). duckdb is written in C++ under MIT; ktx is written in TypeScript under Apache-2.0. duckdb has attracted 10% as many forks as stars, ktx 7%. 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 ktx ★ 1.6K category Business Software

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Side by side

duckdb ktx
GitHub stars ★ 43K ★ 1.6K
License MIT Apache-2.0
Written in C++ TypeScript
Last push 2026-11-02 2026-10-22
Forks ⑂ 4.2K ⑂ 110
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 ktx if

  • You want the ktx feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and ktx fits your workflow better

full ktx 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 ktx

The context layer for data agents Quickstart · CLI Reference · Agent Setup · Slack Built and maintained by Kaelio ktx is a self improving context layer that teaches agents how to query your warehouse accurately from approved metric definitions, joinable columns, and business knowledge it builds and maintains for you. [!NOTE] Run ktx with your own LLM API keys or a local agent sign in — a Claude Pro/Max subscription through Claude Code, or your local Codex authentication. No extra usage billing from ktx . Why ktx General purpose agents struggle on data tasks. They re explore your warehouse on every question…

read the full ktx overview →

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Frequently asked questions

Is duckdb or ktx more popular?

duckdb has 42,747 GitHub stars and ktx has 1,628. duckdb has the larger community by that measure.

Are duckdb and ktx free?

Both are open source. duckdb is licensed under MIT and ktx under Apache-2.0. Neither carries a licence fee.

What is the difference between duckdb and ktx?

duckdb is written in C++ and ktx in TypeScript. 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 ktx?

Choose duckdb if you want the larger community (42,747 stars) or its MIT licence terms. Choose ktx if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.