The FastLanes File Format
Summary: FastLanes is an open-source, SIMD/GPU-oriented columnar format replacing generic compression with cascaded lightweight encodings and multi-column compression. Fine-grained partial decompression enables cache-sized batches, improving both compression ratio and decompression speed over Parquet. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Azim Afroozeh (Centrum Wiskunde & Informatica)
- 2. Peter Boncz (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{afroozeh_vldb25,
title = {{The FastLanes File Format}},
author = {Afroozeh, Azim and Boncz, Peter},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4629--4643},
doi = {10.14778/3749646.3749718},
url = {https://doi.org/10.14778/3749646.3749718},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,232 | Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability | 2026 | VLDB | 5.0547568e-05 |
| 10,484 | L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression | 2026 | SIGMOD | 4.9769913e-05 |
| 10,895 | Accelerating String-Heavy Queries with LLM Token Tables | 2026 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 39 of 39 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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