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arXiv:2504.18980 (cs)
[Submitted on 26 Apr 2025]

Title:Beyond Performance: Measuring the Environmental Impact of
Analytical Databases

Authors:Michail Bachras, Hans-Arno Jacobsen
View a PDF of the paper titled Beyond Performance: Measuring the
Environmental Impact of Analytical Databases, by Michail Bachras and
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    Abstract:The exponential growth of data is making query
    processing increasingly critical for modern computing
    infrastructure, yet the environmental impact of database
    operations remains poorly understood and largely overlooked. This
    paper presents ATLAS, a comprehensive methodology for measuring
    and quantifying the environmental footprint of analytical
    database systems, considering both operational impacts and
    manufacturing costs of hardware components. Through extensive
    empirical evaluation of four distinct database architectures
    (DuckDB, MonetDB, Hyper, and StarRocks), we uncover how
    fundamental architectural decisions affect environmental
    efficiency. Our findings reveal that environmental considerations
    in database operations are multifaceted, encompassing both
    immediate operational impacts and long-term sustainability
    implications. We demonstrate that architectural choices can
    significantly influence both power consumption and environmental
    sustainability, while deployment location emerges as a critical
    factor that can amplify or diminish these architectural
    advantages.

Comments: 14 pages, 15 figures
Subjects: Databases (cs.DB)
Cite as:  arXiv:2504.18980 [cs.DB]
          (or arXiv:2504.18980v1 [cs.DB] for this version)
          https://doi.org/10.48550/arXiv.2504.18980
          Focus to learn more
          arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Michail Bachras [view email]
[v1] Sat, 26 Apr 2025 17:39:20 UTC (5,169 KB)
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