# Install kettle with Homebrew

Pentaho Data Integration software. Version 9.4.0.0-343 via Homebrew; verified from local package data.

## Install

```sh
sudo av install brew:kettle
```

Additional install commands:

### macOS

- Homebrew (100%):

```sh
brew install kettle
```

  Evidence: local Homebrew formula metadata

## Package facts

- **Package key:** brew:kettle
- **Package manager:** Homebrew
- **Version:** 9.4.0.0-343
- **Source summary:** Pentaho Data Integration software
- **Homepage:** <https://pentaho.com/products/pentaho-data-integration>
- **Generated:** 2026-08-03T19:37:03+00:00

## Executables

- pdicarte (alias)
- pdikitchen (alias)
- pdipan (alias)

## Install behavior

- Bottle: not available

## Freshness

- Page generated: 2026-08-03
- Package-manager version: 9.4.0.0-343
## Project history and usage

Pentaho Data Integration, still widely known by its original project name Kettle, is one of the long-running open-source ETL tools from the Java business-intelligence era. It matters in package catalogs because the command-line launchers let scripted jobs run transformations and workflows that are often designed in a graphical ETL environment.

### Project history

Matt Casters began Kettle as a platform-independent ETL project before releasing it as open source in December 2005. The project joined Pentaho soon afterward and became the data-integration component of the Pentaho platform, while the Kettle name stayed attached to the repository, file formats, user community, and command-line tools.

After Pentaho became part of Hitachi Data Systems in 2015, the public code continued in the pentaho-kettle GitHub repository under the Pentaho Data Integration name. The repository structure reflects a large Java application: assemblies for distribution, core and engine modules, UI modules, plugins, and integration tests.

### Adoption history

Kettle gained adoption as a visual ETL tool in the Pentaho ecosystem, with community downloads distributed through SourceForge and commercial editions distributed through Pentaho/Hitachi channels. Its command-line tools made it attractive to operations teams that wanted GUI-authored data flows scheduled from cron, shell scripts, or enterprise schedulers.

In late 2019 Apache Hop started as a fork of Kettle/Pentaho Data Integration. Hop later diverged into an independent Apache project, but its migration documentation is evidence of the amount of Kettle/PDI project work accumulated in the field.

### How it is used

Package users typically care about pdipan, pdikitchen, and Carte-style execution rather than the full desktop experience: those launchers run transformations, jobs, and remote execution services from files or repositories. The package is therefore part data-engineering tool and part compatibility layer for older Pentaho deployments.

### Why package nerds care

Kettle is a good example of a GUI-first enterprise data tool that still belongs in Unix package indexes because its real production surface is scriptable. It also preserves a recognizable lineage from early open-source BI through modern data-orchestration projects such as Apache Hop.

### Timeline

- 2001: Matt Casters began work on the ETL tool that became Kettle.
- 2005-12: Kettle was released as open source.
- 2006: Kettle joined the Pentaho project and became Pentaho Data Integration.
- 2015: Hitachi Data Systems acquired Pentaho.
- 2019: Apache Hop began as a fork of Kettle/Pentaho Data Integration.

### Related projects

- Pentaho Business Analytics and Hitachi Vantara Pentaho are the surrounding platform family. Apache Hop is the most important descendant project, initially forked from Kettle/PDI and later developed on an independent roadmap.

### Sources

- <https://docs.pentaho.com/pdia-data-integration/10.2-data-integration>
- <https://github.com/pentaho/pentaho-kettle>
- <https://hop.apache.org/tech-manual/latest/hop-vs-kettle/index.html>
- <https://neo4j.com/blog/master-data-management/matt-casters-behind-kettle-has-joined-neo4j/>
- <https://sourceforge.net/p/pentaho/news/>


## Security Notes

formula declares a Homebrew service.

- **Geiger risk:** orange / medium
- formula declares a Homebrew service


## Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.


## Configuration files

- Unix: ~/kettle.properties, ~/.pentaho/kettle.properties, ~/.kettle/repositories.xml

## Combined YAML source

View the package source record on GitHub. [combined/kettle.yml](https://github.com/mxcl/pkgdb/blob/main/combined/kettle.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph