_version_ 1866916691713196032
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