The Cambridge Report on Database Research

On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challenges, and future directions for research and community engagement. This gathering continues a long standing tradition in the database community, dating back to the late 1980s, in which researchers meet roughly every five years to produce a forward looking report. This report summarizes the key takeaways from our discussions. We begin with a retrospective on the academic, open source, and commercial successes of the community over the past five years. We then turn to future opportunities, with a focus on core data systems, particularly in the context of cloud computing and emerging hardware, as well as on the growing impact of data science, data governance, and generative AI. This document is not intended as an exhaustive survey of all technical challenges or industry innovations in the field. Rather, it reflects the perspectives of senior community members on the most pressing challenges and promising opportunities ahead.

Authors

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-04-15
DOI
https://doi.org/10.3929/ethz-c-000791805
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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The Cambridge Report on Database Research

Shiv Venkataraman, Renée J. Miller, Danica Porobic, Surajit Chaudhuri et al.
Repository for Publications and Research Data (ETH Zurich)
Big Data and Business Intelligence
article

The Cambridge Report on Database Research

Shiv Venkataraman, Renée J. Miller, Danica Porobic, Surajit Chaudhuri, Michael Cafarella, Viktor Sanca, Donald Kossman, Dan Suciu, Ippokratis Pandis, Magdalena Bałazińska, Alon Halevy, Guoliang Li, Aditya Parameswaran, Philip A. Bernstein, Stanley B. Zdonik, Beng Chin Ooi, Julia Stoyanovich, Volker Markl, Stratos Idreos, Peter Boncz, Xin Luna Dong, Sihem Amer-Yahia, Mark D. Hill, Michael Franklin, Yannis Ioannidis, Susan Davidson, Gustavo Alonso, Anatasia Ailamaki, Juliana Freire, Michael Stonebraker, Fatma Ozcan, Johannes Gehrke, Yanlei Diao, Wang-Chiew Tan, Thomas Neumann, Jignesh M. Patel, Joseph M. Hellerstein, Christoph Koch, David DeWitt, Daniel Abadi, Arun R. K. Kumar, Matel Zaharia, C. Krishna Mohan
article en

Abstract

On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challenges, and future directions for research and community engagement. This gathering continues a long standing tradition in the database community, dating back to the late 1980s, in which researchers meet roughly every five years to produce a forward looking report. This report summarizes the key takeaways from our discussions. We begin with a retrospective on the academic, open source, and commercial successes of the community over the past five years. We then turn to future opportunities, with a focus on core data systems, particularly in the context of cloud computing and emerging hardware, as well as on the growing impact of data science, data governance, and generative AI. This document is not intended as an exhaustive survey of all technical challenges or industry innovations in the field. Rather, it reflects the perspectives of senior community members on the most pressing challenges and promising opportunities ahead.

Repository for Publications and Research Data (ETH Zurich)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Big Data and Business Intelligence
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