Rumble: Data Independence for Large Messy Data Sets
Summary: Rumble brings JSONiq data independence to large, heterogeneous, nested JSON collections by compiling recursive queries into iterator trees over Spark DataFrames. Dynamic local/distributed execution removes the tabular impedance mismatch and scales competitively to terabytes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ingo Müller (ETH Zurich)
- 2. Ghislain Fourny (ETH Zurich)
- 3. Stefan Irimescu (Beekeeper AG)
- 4. Can Berker Cikis
- 5. Gustavo Alonso (ETH Zurich)
BibTeX Citation
@article{muller_vldb21,
title = {{Rumble: Data Independence for Large Messy Data Sets}},
author = {Müller, Ingo and Fourny, Ghislain and Irimescu, Stefan and Cikis, Can Berker and Alonso, Gustavo},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {4},
pages = {498--506},
doi = {10.14778/3436905.3436910},
url = {https://doi.org/10.14778/3436905.3436910},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,436 | GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example | 2023 | SIGMOD | 5.2692207e-05 |
| 9,837 | Evaluating Query Languages and Systems for High-Energy Physics Data | 2022 | VLDB | 5.2110542e-05 |
| 11,711 | TraNCE: Transforming Nested Collections Efficiently | 2021 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,015 | AsterixDB: A Scalable, Open Source BDMS | 2014 | VLDB | 0.00012647763 |
| 1,021 | Jaql: A Scripting Language for Large Scale Semistructured Data Analysis | 2011 | VLDB | 0.00012606673 |
| 1,070 | NoDB: Efficient Query Execution on Raw Data Files | 2012 | SIGMOD | 0.0001232307 |
| 1,798 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.7361937e-05 |
| 8,129 | Large-scale Complex Analytics on Semi-structured Datasets using AsterixDB and Spark | 2016 | VLDB | 5.4819569e-05 |
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