rumbledb mit Homebrew installieren

Projektlinks

• Homepage
• Repository

Befehle und Aliase

• rumbledb

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