SIGMOD+PODS 2026 Awards
SIGMOD 2026 Research Track Best Paper
GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
Haochen Sun (University of Waterloo) and Xi He (University of Waterloo)
SIGMOD 2026 Research Track Honorable Mentions
F3: The Open-Source Data File Format for the Future
Xinyu Zeng (Tsinghua University), Ruijun Meng (Tsinghua University), Martin Prammer (Carnegie Mellon University), Wes McKinney (Posit PBC), Jignesh Patel (Carnegie Mellon University), Andrew Pavlo (Carnegie Mellon University), and Huanchen Zhang (Tsinghua University)
Integrating Vector Databases across Embedding Models
Beining Yang (University of Edinburgh), Yang Cao (University of Edinburgh), and Yang Ren (Edinburgh Research Center, Central Software Institute, Huawei)
Sublime: Sublinear Error & Space for Unbounded Skewed Streams
Navid Eslami (University of Toronto), Ioana Bercea (KTH Royal Institute of Technology), Rasmus Pagh (BARC, University of Copenhagen), Niv Dayan (University of Toronto)
The best paper selection committee members are Dan Olteanu, Divesh Srivastava (chair), Renata Borovica-Gajic, Tilmann Rabl, and Zack Ives.
SIGMOD 2026 Industry Track Best Paper
CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric
Matteo Interlandi (Microsoft)*; Nicolas Bruno (Microsoft); Brandon Haynes (Microsoft); Carlo Curino (Microsoft); Rathijit Sen (Microsoft); Yinan Li (Microsoft); Kaushik Rajan (Microsoft); Bailu Ding (Microsoft); Lukas Maas (Microsoft); Wei Cui (Microsoft); Kevin Gaffney (Microsoft); Mingsheng Hong (Microsoft); Brian Kroth (Microsoft); Sampath Rajenda (Microsoft); Peng Cheng (Microsoft); Surajit Chaudhuri (Microsoft); Johannes Gehrke (Microsoft); Raghu Ramakrishnan (Microsoft); Lidong Zhou (Microsoft); Momin Al-Ghosien (Microsoft); Craig Peeper (Microsoft); Marius Dumitru (Microsoft); Conor Cunningham (Microsoft); Kevin Bocksrocker (Microsoft); Prasanna Sundar (Microsoft); Ron Boskovic (Microsoft); YongChul Kwon (Microsoft); Marko Zivanovic (Microsoft); Runbin Shi (Microsoft); Krystian Sakowski (Microsoft); Denis Lamtsov (Microsoft); Josep Aguilar Saborit (Microsoft); Krish Srinivasan (Microsoft); Adarsh Kapil (Microsoft); Andrew Putnam (Microsoft); Anudeep Kambapu (Microsoft); Aparna Konduri (Microsoft); Aaron Landy (Microsoft); Aaron Moore (Microsoft); Aaron Pitman (Microsoft); Artem Oks (Microsoft); Ashit Gosalia (Microsoft); Babu Kandimalla (Microsoft); Blake Pelton (Microsoft); Bogdan Crivat (Microsoft); Cesar Galindo-Legaria (Microsoft); Chidamber Kulkarni (Microsoft); Esteban Calvo (Microsoft); Evgeny Babin (Microsoft); Hans Lehnert Marino (Microsoft); Igor Konev (Microsoft); Israel Arroyo (Microsoft); Jesus Camacho Rodriguez (Microsoft); Luis Penaranda (Microsoft); Mandar Datar (Microsoft); Morten Borup Petersen (Microsoft); Nicholas Simmons (Microsoft); Parminder Poonian (Microsoft); Pravija Danda (Microsoft); Rob Rydberg (Microsoft); Ronak Bajaj (Microsoft); Sai Sumanth Kammal Shetty (Microsoft); Sharanya Bhat (Microsoft); Zach Iracheta (Microsoft)
SIGMOD 2026 Industry Track Honorable Mention
Enzyme: Incremental View Maintenance for Data Engineering
Ritwik Yadav (Databricks, Inc.); Supun Abeysinghe (Databricks, Inc.); Min Yang (Databricks, Inc.); Jeffrey Helt (Databricks, Inc.); Manuel Ung (Databricks, Inc.); Yuhong Chen (Databricks, Inc.); Melody Hu (Databricks, Inc.); William Wei (Databricks, Inc.); Yiming Yang (Databricks, Inc.); Tom van Bussel (Databricks, Inc.); Sourav Chatterji (Databricks, Inc.); Indrajit Roy (Databricks, Inc.); Paul Lappas (Google, Inc.); Yannis Papakonstantinou (Google, Inc.); Tahir Fayyaz (Databricks, Inc.); Bilal Aslam (Databricks, Inc.); Ross Bunker (Databricks, Inc.); Michael Armbrust (Databricks, Inc.); Shrikanth Shankar (Databricks, Inc.)