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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)

Paper ID
12215
Venue
VLDB
Year
2020
Pagerank
7.0733274e-05
Overall Rank
3,853 | 73.57%
DOI
10.14778/3384345.3384354

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Authors

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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