# 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
- **Package manager page:** <https://formulae.brew.sh/formula/kettle>
- **Version:** 9.4.0.0-343
- **Source summary:** Pentaho Data Integration software
- **Homepage:** <https://pentaho.com/products/pentaho-data-integration>
- **Repository:** <https://github.com/pentaho/pentaho-kettle>
- **Upstream docs:** <https://docs.pentaho.com/pdia-data-integration/10.2-data-integration>
- **License:** Apache-2.0
- **Source archive:** <https://hitachiedge1.jfrog.io/artifactory/pntpub-maven-release/org/pentaho/di/pdi-ce/9.4.0.0-343/pdi-ce-9.4.0.0-343.zip>
- **Generated:** 2026-07-08T18:08:21+00:00

## Executables

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

## Dependencies

- openjdk

## Install behavior

- Post-install hook: not defined
- Service: declared
- Bottle: available on all

## Freshness

- Page generated: 2026-07-08
- Package-manager version: 9.4.0.0-343
- Local data: ok
- Upstream repository: https://pentaho.com/products/pentaho-data-integration
- info: No package-manager update timestamp was available.
- info: Release/tag comparison is only available for GitHub repositories.
## 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
## Source Database Details

- **Source Database:** Homebrew formula API
- **Tap:** homebrew/core
- **Full Name:** kettle
- **Version Scheme:** 0
- **Revision:** 0
- **Bottle Stable Root URL:** <https://ghcr.io/v2/homebrew/core>
- **Deprecated:** yes
- **Disabled:** no
- **Keg Only:** no
- **URL Keys:** stable


## Related links

- [Secret-risk packages](https://www.automicvault.com/pkg/secret-risk-packages/) - Has protected-tool coverage, approval-gate, or non-low Geiger security signals.
- [Terminal utility packages](https://www.automicvault.com/pkg/terminal-utilities/) - Matched terminal and command-line workflow metadata.
- [Text processing packages](https://www.automicvault.com/pkg/text-processing-tools/) - Matched text, document, or structured-data processing metadata.
- [Language runtime packages](https://www.automicvault.com/pkg/language-runtime-packages/) - Matched language runtime, compiler, or interpreter metadata.
- [openjdk](https://www.automicvault.com/pkg/brew/openjdk/) - Runtime dependency declared by Homebrew.
- [cloudquery](https://www.automicvault.com/pkg/brew/cloudquery/) - Shares av.db curated category or tags: cli, data, data-integration.
- [nifi](https://www.automicvault.com/pkg/brew/nifi/) - Shares av.db curated category or tags: cli, data, data-integration, etl.
- [nifi-registry](https://www.automicvault.com/pkg/brew/nifi-registry/) - Shares av.db curated category or tags: cli, data, data-integration.
- [nifi-toolkit](https://www.automicvault.com/pkg/brew/nifi-toolkit/) - Shares av.db curated category or tags: cli, data, data-integration.
- [alluxio](https://www.automicvault.com/pkg/brew/alluxio/) - Shares av.db curated category or tags: cli, data, java.
- [carrot2](https://www.automicvault.com/pkg/brew/carrot2/) - Shares av.db curated category or tags: cli, data, java.
- [conduit](https://www.automicvault.com/pkg/brew/conduit/) - Shares av.db curated category or tags: cli, data, data-integration.
- [derby](https://www.automicvault.com/pkg/brew/derby/) - Shares av.db curated category or tags: cli, data, java.

## Combined YAML source

View the package source record on GitHub. [combined/kettle.yml](https://github.com/automic-vault/db/blob/main/combined/kettle.yml)


## Sources

- Nucleus package database
- Geiger risk classifier
- package-page enrichment
- curated configuration and credential file locations
- curated package history
- package version freshness
- av.db category and tag curation
- package relationship graph
- cross-ecosystem install command graph
