# Installer rumbledb avec Homebrew

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de rumbledb pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:rumbledb
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install rumbledb
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:rumbledb
- **Gestionnaire de paquets:** Homebrew
- **Version:** 2.1.0
- **Résumé source:** JSONiq and XQuery query engine on Apache Spark
- **Page d'accueil:** <https://rumbledb.org/>
- **Dépôt:** <https://github.com/RumbleDB/rumble>
- **Dernière mise à jour:** 2026-07-25T16:29:09Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- rumbledb (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 2.1.0
## Historique du projet et usages

RumbleDB is a JSONiq query engine for nested and heterogeneous datasets that runs locally or distributes work through Apache Spark.

### Historique du projet

RumbleDB began at ETH Zurich in February 2017 as Stefan Irimescu's master's thesis under Ghislain Fourny and Gustavo Alonso. The project grew into an Apache-licensed engine covering data preparation, validation, format conversion, lakehouse access, and machine-learning workflows through JSONiq.

### Historique d'adoption

The project broadened beyond a standalone Java archive and Spark submission workflow to include Homebrew, Docker, Jupyter integration, online sandboxes, and the jsoniq Python package. Official reports describe tests on clusters of up to 64 machines and datasets exceeding 20 billion objects.

### Modes d'utilisation

Users write declarative JSONiq queries against local files or data in HDFS, S3, Azure Blob Storage, and HTTP-accessible sources. RumbleDB can run single-threaded on a laptop, use local Spark parallelism, or execute on a Spark cluster.

### Pourquoi les passionnés de paquets s'y intéressent

RumbleDB gives package users several entry points into the same query engine: a Homebrew command, a Java/Spark artifact, containers, notebooks, and pip install jsoniq. It is an unusual bridge between XQuery-family language design and modern data-lake packaging.

### Chronologie

- 2017: RumbleDB started at ETH Zurich as a master's thesis project.
- 2024: Beta 1.22 was announced.
- 2025: Beta 2.0 was announced.
- 2026: Beta 2.1 was announced.

### Related projects

- JSONiq
- XQuery
- Apache Spark

### Sources

- Official RumbleDB documentation: https://docs.rumbledb.org/
- Official RumbleDB project site and news: https://rumbledb.org/
- Official RumbleDB repository README: https://github.com/RumbleDB/rumble#readme


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour rumbledb. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## Combined YAML source

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


## Sources

- pkg.so package database
- curated package history
- cross-ecosystem install command graph