Understanding and Benchmarking the Impact of GDPR on Database Systems
Summary: Translates GDPR obligations into database capabilities, exposing “metadata explosion” and novel compliance workloads. Introduces open-source GDPRbench and evaluates Redis, PostgreSQL, and a commercial DB, finding substantial overhead and poor scaling in GDPR-compliant systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Supreeth Shastri (University of Texas)
- 2. Vinay Banakar (Hewlett Packard Enterprise)
- 3. Melissa Wasserman (University of Texas)
- 4. Arun Kumar (University of California San Diego)
- 5. Vijay Chidambaram (University of Texas; VMware)
BibTeX Citation
@article{shastri_vldb20,
title = {{Understanding and Benchmarking the Impact of GDPR on Database Systems}},
author = {Shastri, Supreeth and Banakar, Vinay and Wasserman, Melissa and Kumar, Arun and Chidambaram, Vijay},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {7},
pages = {1064--1077},
doi = {10.14778/3384345.3384354},
url = {https://doi.org/10.14778/3384345.3384354},
year = {2020}
}
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