A Deep Dive into Common Open Formats for Analytical DBMSs
Summary: Systematic evaluation of Arrow, Parquet, and ORC against OLAP DBMS requirements, showing how layout, vectorization, compression, metadata, and mmap trade-offs affect query efficiency and integration. Identifies co‑design opportunities for unified in‑memory/on‑disk representation and practical guidance for implementers. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chunwei Liu (Massachusetts Institute of Technology)
- 2. Anna Pavlenko (Microsoft)
- 3. Matteo Interlandi (Microsoft)
- 4. Brandon Haynes (Microsoft)
BibTeX Citation
@article{liu_vldb23,
title = {{A Deep Dive into Common Open Formats for Analytical DBMSs}},
author = {Liu, Chunwei and Pavlenko, Anna and Interlandi, Matteo and Haynes, Brandon},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {3044--3056},
doi = {10.14778/3611479.3611507},
url = {https://doi.org/10.14778/3611479.3611507},
year = {2023}
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