# kettle を Homebrew でインストール

kettle のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。

## インストール

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

追加のインストールコマンド:

### macOS

- Homebrew (100%):

```sh
brew install kettle
```

  証拠: local Homebrew formula metadata

## パッケージ情報

- **パッケージキー:** brew:kettle
- **パッケージマネージャ:** Homebrew
- **バージョン:** 9.4.0.0-343
- **ソース概要:** Pentaho Data Integration software
- **ホームページ:** <https://pentaho.com/products/pentaho-data-integration>
- **生成日時:** 2026-08-03T19:37:03+00:00

## 実行可能ファイル

- pdicarte (エイリアス)
- pdikitchen (エイリアス)
- pdipan (エイリアス)

## インストール挙動

- Bottle: 利用不可

## バージョンと鮮度

- ページ生成日: 2026-08-03
- マネージャ版: 9.4.0.0-343
## プロジェクトの歴史と使われ方

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.

### プロジェクトの歴史

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.

### 採用の歴史

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.

### 使われ方

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.

### パッケージ好きにとっての重要性

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.

### タイムライン

- 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.

### ソース

- <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/>


## セキュリティノート

formula declares a Homebrew service.

- **Geiger リスク:** orange / 中
- 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)


## ソース

- 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