AnyBlox: A Framework for Self-Decoding Datasets
Summary: AnyBlox bundles lightweight WebAssembly decoders with datasets so systems can read arbitrary encodings without native format support or spec changes. Decoupling decoders from systems and format specs enables transparent format evolution, instance‑optimized encodings, and secure, high‑performance integration with DuckDB, Spark, and Umbra. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mateusz Gienieczko (Technical University of Munich)
- 2. Maximilian Kuschewski (Technical University of Munich)
- 3. Thomas Neumann (Technical University of Munich)
- 4. Viktor Leis (Technical University of Munich)
- 5. Jana Giceva (Technical University of Munich)
BibTeX Citation
@article{gienieczko_vldb25,
title = {{AnyBlox: A Framework for Self-Decoding Datasets}},
author = {Gienieczko, Mateusz and Kuschewski, Maximilian and Neumann, Thomas and Leis, Viktor and Giceva, Jana},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4017--4031},
doi = {10.14778/3749646.3749672},
url = {https://doi.org/10.14778/3749646.3749672},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,085 | LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics | 2025 | VLDB | 5.0806786e-05 |
| 10,232 | Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability | 2026 | VLDB | 5.0547568e-05 |
| 10,843 | BtrLog: Low-Latency Logging for Cloud Database Systems | 2026 | VLDB | 4.9769913e-05 |
| 11,046 | Future-Proof Data Systems | 2026 | VLDB | 4.9769913e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,736 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD |
| 2 | 3,810 | An Empirical Evaluation of Columnar Storage Formats | 2024 | VLDB |
| 3 | 11,941 | AnyDB: An Architecture-less DBMS for Any Workload | 2021 | CIDR |
| 4 | 5,477 | Good to the Last Bit: Data-Driven Encoding with CodecDB | 2021 | SIGMOD |
| 5 | 12,720 | SecureBlox: Customizable Secure Distributed Data Processing | 2010 | SIGMOD |
| 6 | 5,694 | DuckDB-Wasm: Fast Analytical Processing for the Web | 2022 | VLDB |
| 7 | 2,317 | BtrBlocks: Efficient Columnar Compression for Data Lakes | 2023 | SIGMOD |
| 8 | 8,559 | F3: The Open-Source Data File Format for the Future | 2026 | SIGMOD |
| 9 | 4,036 | Exploiting Cloud Object Storage for High-Performance Analytics | 2023 | VLDB |
| 10 | 11,046 | Future-Proof Data Systems | 2026 | VLDB |