RumbleDB / rumble
Quick start: pip install jsoniq ⛈️ RumbleDB 3.1.0 "Pistachio Tree" 🌳 for Apache Spark | Run queries on your large-scale, messy datasets (JSON, text, CSV, Parquet, Delta...) | Data Lakehouse with Updates, Scripting, Declarative Machine Learning and more
Why this job: works in the areas we cover, but does not say which job it does
What it does
With RumbleDB, you can query with ease a lot of different nested, heterogeneous data formats like JSON, CSV, Parquet, Avro, LibSVM, text, etc.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 251
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.1.0
- Released 3 days ago
- Built with
- Java
- 86% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 90 still open
- Pull requests
- 1,463 merged
- 41 waiting
- Releases
- 47
- 5 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Java 86%
- JSONiq 6%
- jq 5%
- XQuery 1%
Topics
- spark
- json
- jsoniq
- data-science
- scale
- parquet
- dataframes
- query
- query-engine
- schemaless
- nested
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits9,835
- Forks87
- Watching18
- Stars in 28 days+2
- CreatedSep 4, 2017
- First seen by usNov 7, 2026
- CheckedNov 12, 2026