We are happy to announce that RumbleDB 1.18 beta is out.

https://github.com/RumbleDB/rumble/releases/tag/v1.18.0

With RumbleDB you can query terabytes of messy data in all kinds of formats (CSV, JSON, Parquet, text…) sitting in many places (S3, HDFS, your laptop…) and feed …

It is our pleasure to announce the release of RumbleDB 1.16 "Shagbark Hickory" beta.

RumbleDB takes XQuery's little cousin, JSONiq, to the Petabyte level on large scale clusters -- but also feels right at home on your 8-core laptop where …

RumbleDB 1.14.0 "Acacia" beta is now available. It is a free and open source JSONiq engine that allows querying massive amounts of JSON, Parquet, Avro, etc, stored on your local drive or a data lake (S3, HDFS...).

It features an …

We are happy to announce the release of Rumble 1.11.0 "Banyan Tree" beta.

It is a free, open source JSONiq engine (JSON-tuned cousin of XQuery) that can process sequences with billions of items, and can be downloaded as a jar …

We are happy to announce the release of Rumble 1.7.0 beta. Rumble runs JSONiq (XQuery's cousin) on top of Spark.

We have a lot of new features, prioritized based on our users, that bring us closer to whole coverage, including …

We are happy to announce the newest release of Rumble, the engine running JSONiq on Spark. JSONiq is XQuery's little brother that natively supports JSON-like data.

The 1.5.1 release contains many bugfixes, stability improvements, as well as:

- A growing …

We are happy to announce the release of Rumble 1.1 beta, the JSONiq engine that queries heterogeneous and nested JSON data on top of Apache Spark.

Until version 1.0, FLWOR expressions were mapped to Spark RDDs.

We managed to remap …

We are happy to announce that Rumble, formerly known as Sparksoniq, has made it to beta, as we found it stable and usable enough.

Rumble is for large, heterogeneous and nested JSON datasets that do not fit in DataFrames, nevertheless …

We are happy to announce the latest alpha release of Sparksoniq.

Sparksoniq runs JSONiq queries on top of Spark, taking as input JSON data sets stored on distributed file systems such as (but not only) HDFS. Its goal is to …