What is Duckle used for?

Duckle is an open-source ETL and ELT platform built on DuckDB that you deploy yourself, with visual or SQL pipelines, dbt, CDC, data quality and an MCP server. It is a good fit for self-hosted ETL without per-row billing, scheduling data pipelines on your own servers, and letting AI agents inspect and run pipelines.

Is Duckle open source?

Yes. Duckle is open source under the Apache-2.0 licence. Its source code is on GitHub at slothflowlabs/duckle and is written mainly in Rust.

Yes. Duckle is open source, so the software itself is free to use.

Can I self-host Duckle?

Yes. Duckle can be self-hosted on your own server or infrastructure; there is no official hosted version.

What is Duckle an alternative to?

Duckle is an open-source alternative to SnapLogic, Alteryx, Fivetran and Informatica. Other open-source alternatives to Alteryx include Mage AI.

Is Duckle actively maintained?

Yes. The most recent commit to Duckle was on 1 October 2026, and the latest release is v0.7.4, published on 25 September 2026. The project has 1.3k stars on GitHub.

Duckle: open-source alternative to SnapLogic, Alteryx

About Duckle

Duckle is an open-source ETL and ELT platform for teams that want their data pipelines running on their own infrastructure. You build pipelines on a visual canvas, in Python or in SQL, then ship the same file to your own server or cloud account, where a headless runner executes it on a schedule.

Pipelines compile to SQL on DuckDB and use all the cores available, so a larger machine runs them faster. The platform lists support for a large catalog of components, dbt, change data capture, data quality checks, reverse ETL and lineage, along with a web console, roles, an audit trail and an MCP server so AI agents such as Claude or Cursor can work with it. Each pipeline is a single file that can live in git.

Duckle is written in Rust and licensed under Apache-2.0, and it runs headless in Docker or on a plain server, with Kubernetes among its topics. It states there is no vendor cloud and no per-row billing. It is an independent project by SlothFlowLabs and is not affiliated with DuckDB Labs or MotherDuck. It suits data engineers who want a self-hosted alternative to managed pipeline services.

Key features

Visual canvas, Python, or SQL pipeline authoring
Runs on DuckDB across all CPU cores
dbt, CDC, and reverse ETL support
Data quality checks and lineage
Web console with roles and audit trail
MCP server for AI agents

Good fit for

→Self-hosted ETL without per-row billing
→Scheduling data pipelines on your own servers
→Letting AI agents inspect and run pipelines

Built with: Rust; Kubernetes
Tags: etl; elt; duckdb; data-pipelines; dbt; cdc; data-quality; mcp; rust; self-hosted

Duckle: questions and answers

What is Duckle used for?: Duckle is an open-source ETL and ELT platform built on DuckDB that you deploy yourself, with visual or SQL pipelines, dbt, CDC, data quality and an MCP server. It is a good fit for self-hosted ETL without per-row billing, scheduling data pipelines on your own servers, and letting AI agents inspect and run pipelines.
Is Duckle open source?: Yes. Duckle is open source under the Apache-2.0 licence. Its source code is on GitHub at slothflowlabs/duckle and is written mainly in Rust.
Is Duckle free?: Yes. Duckle is open source, so the software itself is free to use.
Can I self-host Duckle?: Yes. Duckle can be self-hosted on your own server or infrastructure; there is no official hosted version.
What is Duckle an alternative to?: Duckle is an open-source alternative to SnapLogic, Alteryx, Fivetran and Informatica. Other open-source alternatives to Alteryx include Mage AI.
Is Duckle actively maintained?: Yes. The most recent commit to Duckle was on 1 October 2026, and the latest release is v0.7.4, published on 25 September 2026. The project has 1.3k stars on GitHub.