The Cambridge Report on Database Research
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| author | Ailamaki, Anastasia Madden, Samuel Abadi, Daniel Alonso, Gustavo Amer-Yahia, Sihem Balazinska, Magdalena Bernstein, Philip A. Boncz, Peter Cafarella, Michael Chaudhuri, Surajit Davidson, Susan DeWitt, David Diao, Yanlei Dong, Xin Luna Franklin, Michael Freire, Juliana Gehrke, Johannes Halevy, Alon Hellerstein, Joseph M. Hill, Mark D. Idreos, Stratos Ioannidis, Yannis Koch, Christoph Kossmann, Donald Kraska, Tim Kumar, Arun Li, Guoliang Markl, Volker Miller, Renée Mohan, C. Neumann, Thomas Ooi, Beng Chin Ozcan, Fatma Parameswaran, Aditya Pandis, Ippokratis Patel, Jignesh M. Pavlo, Andrew Porobic, Danica Sanca, Viktor Stonebraker, Michael Stoyanovich, Julia Suciu, Dan Tan, Wang-Chiew Venkataraman, Shiv Zaharia, Matei Zdonik, Stanley B. |
| author_facet | Ailamaki, Anastasia Madden, Samuel Abadi, Daniel Alonso, Gustavo Amer-Yahia, Sihem Balazinska, Magdalena Bernstein, Philip A. Boncz, Peter Cafarella, Michael Chaudhuri, Surajit Davidson, Susan DeWitt, David Diao, Yanlei Dong, Xin Luna Franklin, Michael Freire, Juliana Gehrke, Johannes Halevy, Alon Hellerstein, Joseph M. Hill, Mark D. Idreos, Stratos Ioannidis, Yannis Koch, Christoph Kossmann, Donald Kraska, Tim Kumar, Arun Li, Guoliang Markl, Volker Miller, Renée Mohan, C. Neumann, Thomas Ooi, Beng Chin Ozcan, Fatma Parameswaran, Aditya Pandis, Ippokratis Patel, Jignesh M. Pavlo, Andrew Porobic, Danica Sanca, Viktor Stonebraker, Michael Stoyanovich, Julia Suciu, Dan Tan, Wang-Chiew Venkataraman, Shiv Zaharia, Matei Zdonik, Stanley B. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11259 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Cambridge Report on Database Research Ailamaki, Anastasia Madden, Samuel Abadi, Daniel Alonso, Gustavo Amer-Yahia, Sihem Balazinska, Magdalena Bernstein, Philip A. Boncz, Peter Cafarella, Michael Chaudhuri, Surajit Davidson, Susan DeWitt, David Diao, Yanlei Dong, Xin Luna Franklin, Michael Freire, Juliana Gehrke, Johannes Halevy, Alon Hellerstein, Joseph M. Hill, Mark D. Idreos, Stratos Ioannidis, Yannis Koch, Christoph Kossmann, Donald Kraska, Tim Kumar, Arun Li, Guoliang Markl, Volker Miller, Renée Mohan, C. Neumann, Thomas Ooi, Beng Chin Ozcan, Fatma Parameswaran, Aditya Pandis, Ippokratis Patel, Jignesh M. Pavlo, Andrew Porobic, Danica Sanca, Viktor Stonebraker, Michael Stoyanovich, Julia Suciu, Dan Tan, Wang-Chiew Venkataraman, Shiv Zaharia, Matei Zdonik, Stanley B. Databases 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. |
| title | The Cambridge Report on Database Research |
| topic | Databases |
| url | https://arxiv.org/abs/2504.11259 |