Exploiting Cloud Object Storage for High-Performance Analytics
Summary: Blueprint for analytics on cloud object stores: first in‑depth study deriving cost- and performance‑optimal retrieval configurations and integration guidance for query engines. AnyBlob, a download manager optimizing throughput and CPU, integrated into Umbra, matches SSD-cached warehouse performance without local caching and improves elasticity. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dominik Durner (Technical University of Munich)
- 2. Viktor Leis (Technical University of Munich)
- 3. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{durner_vldb23,
title = {{Exploiting Cloud Object Storage for High-Performance Analytics}},
author = {Durner, Dominik and Leis, Viktor and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {2769--2782},
doi = {10.14778/3611479.3611486},
url = {https://doi.org/10.14778/3611479.3611486},
year = {2023}
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