The Seattle report on database research

Daniel Abadi, Anastasia Ailamaki, David Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Surajit Chaudhuri, Alvin Cheung, Anhai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker MarklSergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh Patel, Andrew Pavlo, Raluca Popa, Raghu Ramakrishnan, Christopher Re, Michael Stonebraker, Dan Suciu

Research output: Contribution to journalReview articlepeer-review

Abstract

The authors of the Seattle report on database research met in Seattle in the fall of 2018 to identify promising research directions for the field. This report summarizes findings from the Seattle meeting and discussions, including panels at ACM SIGMOD 20206 and VLDB 2020. The central part of the report covers research themes and specific examples of research challenges that meeting participants believe are important for database researchers to pursue, where their unique technical expertise is especially relevant such as cleaning and transforming data to support data science pipelines and disaggregated engine architectures to support multitenant cloud data services. Researchers close the report by discussing steps the community can take for impact beyond solving technical research challenges.

Original languageEnglish
Pages (from-to)72-79
Number of pages8
JournalCommunications of the ACM
Volume65
Issue number8
DOIs
StatePublished - Aug 2022

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