BF-Tree: Approximate Tree Indexing
Summary: BF-Trees use Bloom filters in approximate tree indexes to trade pruning accuracy for dramatically lower footprint on SSDs. Exploiting temporal ordering/partitioning, they achieve 1.6–48× smaller indexes with competitive search latency across synthetic, TPC-H, and monitoring workloads. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manos Athanassoulis (EPFL)
- 2. Anastasia Ailamaki (EPFL)
BibTeX Citation
@article{athanassoulis_vldb14,
title = {{BF-Tree: Approximate Tree Indexing}},
author = {Athanassoulis, Manos and Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {14},
pages = {1881--1892},
doi = {10.14778/2733085.2733094},
url = {https://doi.org/10.14778/2733085.2733094},
year = {2014}
}
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