# rumbledb mit Homebrew installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für rumbledb in AI-Agent-Workflows.

## Installation

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

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install rumbledb
```

  Evidenz: local Homebrew formula metadata

## Paketfakten

- **Paketschlüssel:** brew:rumbledb
- **Paketmanager:** Homebrew
- **Version:** 2.1.0
- **Quellzusammenfassung:** JSONiq and XQuery query engine on Apache Spark
- **Homepage:** <https://rumbledb.org/>
- **Repository:** <https://github.com/RumbleDB/rumble>
- **Zuletzt aktualisiert:** 2026-07-25T16:29:09Z
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- rumbledb (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 2.1.0
## Projektgeschichte und Nutzung

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

### Projektgeschichte

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.

### Adoptionsgeschichte

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.

### Wie es verwendet wird

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.

### Warum Paket-Nerds sich dafür interessieren

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.

### Zeitleiste

- 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

### Quellen

- 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


## Sicherheitshinweise

Für rumbledb wurde kein passendes lokales Secret-Handling-Manifest gefunden. Nucleus-Paketmetadaten bleiben hier veröffentlicht, damit künftige Abdeckung eine stabile Paket-URL hat.



## Combined YAML source

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


## Quellen

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