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Towards a Benchmark for Shared Databases [Vision Paper]

El-Hindi, Muhammad ; Arora, Ashwin ; Karrer, Simon ; Binnig, Carsten (2025)
Towards a Benchmark for Shared Databases [Vision Paper].
In: Datenbank-Spektrum : Zeitschrift für Datenbanktechnologien und Information Retrieval, 2022, 22 (3)
doi: 10.26083/tuprints-00028466
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Towards a Benchmark for Shared Databases [Vision Paper]
Language: English
Date: 17 January 2025
Place of Publication: Darmstadt
Year of primary publication: November 2022
Place of primary publication: Berlin ; Heidelberg
Publisher: Springer
Journal or Publication Title: Datenbank-Spektrum : Zeitschrift für Datenbanktechnologien und Information Retrieval
Volume of the journal: 22
Issue Number: 3
DOI: 10.26083/tuprints-00028466
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Traditionally, data has been held in silos and was rarely shared with other organizations. However, recently data sharing across organizations is becoming more and more important as evidenced by governmental and industrial initiatives such as the EU data strategy. As a result, both academia and industry have been proposing new systems for shared databases, that allow multiple organizations to collaboratively insert and manage data in a common database. Yet, each new system seems to come with its own architectural choices and custom guarantees that make it hard for users to navigate the plethora of shared database systems. While standard benchmarks like the TPC‑C database benchmark have been a well-established tool to compare and analyze traditional database systems, they seem to be unsuited to evaluate shared database systems. This is because these systems are built with fundamentally different assumptions in mind, such as a different threat/trust model since multiple (untrusted) parties access and modify the same data. In this paper, we present a vision and initial ideas for a new benchmark to evaluate shared databases and capture their unique characteristics.

Uncontrolled Keywords: Shared Databases, DBMS for Data Sharing, Data Sharing, Benchmarking, TPC-C
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-284668
Additional Information:

Issue: Testing and Benchmarking Database Management Systems

Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Data and AI Systems
Date Deposited: 17 Jan 2025 10:35
Last Modified: 17 Jan 2025 10:35
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/28466
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