SIGMOD/PODS 2025
SIGMOD/PODS 2025: Advancing the Frontiers of Data Management Research
The 2025 ACM SIGMOD/PODS Conference, one of the world’s leading events for database systems and data management, will take place in Berlin, Germany, from June 22 to 27, 2025 at the Intercontinental Berlin. This annual conference brings together top researchers, developers, practitioners, and users from academia and industry to discuss the latest innovations, trends, and challenges in the field.
SIGMOD (Special Interest Group on Management of Data) and PODS (Principles of Database Systems) together offer a rich program that spans fundamental research and real-world systems engineering. The event features technical paper presentations, demos, tutorials, industrial sessions, and workshops. Attendees can also look forward to high-profile keynotes, poster sessions, and prestigious awards.
SIGMOD/PODS 2025 Website
This year’s conference holds special significance for Berlin—and for BIFOLD (Berlin Institute for the Foundations of Learning and Data)—with local researchers not only participating but playing a leading role in organizing and shaping the conference agenda.
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Fast and Scalable Data Transfer across Data Systems
Haralampos Gavriilidis, Kaustubh Beedkar, Matthias Boehm, Volker Markl -
Disclosure-compliant Query Answering
Rudi Poepsel-Lemaitre, Kaustubh Beedkar, Volker Markl
Link
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CatDB: LLM-based Generation of Data-centric ML Pipelines
Saeed Fathollahzadeh, Essam Mansour, Matthias Boehm -
NebulaStream: A High-performance Streaming Engine for Multi-modal Edge Applications
Steffen Zeuch, Adrian Michalke, Aljoscha Lepping, Volker Markl, Ricardo Martinez, Nils Schubert, Lukas Schwerdtfeger, Taha Tekdogan, Ariane Ziehn, Christoph Falkensteiner, Kyle Krüger, Tobias Röschl, Alexander Meyer, Svea Wilkending -
Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine
Lennart Behme, Leonard Geißler, Pratham Agrawal, Emil Badura, Benjamin Ueber, Kaustubh Beedkar, Volker Markl
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Mobility Stream Processing on NebulaStream and MEOS
Mariana Duarte, Dwi P.A. Nugroho, Georges Tod, Evert Bevernage, Pieter Moelans, Emine Tas, Esteban Zimányi, Mahmoud Sakr, Steffen Zeuch, Volker Markl
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Apache Wayang in Action: A Unified Data Analytics Framework
Kaustubh Beedkar, Aurelien Bertrand, Haralampos Gavriilidis, Augusto Fonseca, Zoi Kaoudi, Mingxi Liu, Volker Markl, Juri Petersen, Fabio Porto, Victor Ribeiro, Mads Sejer Pedersen, Lucas Tavares, Michalis Vargiamis, Chen Xu
Video
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Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn
Bojan Karlaš, Babak Salimi, Sebastian Schelter
Link
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DataEd Workshop
Paper: Teaching Large-Scale Data Management to Large-Scale Undergraduate Students
Authors: Gereon Dusella, Lennart Behme, Rudi Poepsel-Lemaitre, Alexander Borusan, Volker Markl
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9th Workshop on Data Management for End-to-End Machine Learning
Paper: Towards Automated Task-Aware Data Validation
Authors: Hao Chen, Sebastian Schelter
(co-organized by the DEEM Lab)
Link
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Distinguished Reviewer
Ziawasch Abedjan (BIFOLD & TU Berlin)
- Volker Markl (BIFOLD/TU Berlin), Tuesday, June 24, 2025
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General Chair: Volker Markl (BIFOLD & TU Berlin)
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Finance Chair: Matthias Böhm (BIFOLD & TU Berlin)
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Publicity/Social Media Chair: Ziawasch Abedjan (BIFOLD & TU Berlin)
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Proceedings Chair: Eleni Tzirita Zacharatou (BIFOLD Fellow, HPI Potsdam)
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Remote Participation Chair: Tillman Rabl (BIFOLD Fellow, HPI Potsdam)
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Program Committee Members: Stefan Halfpap, Steffen Zeuch, Varun Pandey, Ziawasch Abedjan, Matthias Böhm (all BIFOLD & TU Berlin)
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Workshop Co-Organizers: DEEM Lab (BIFOLD & TU Berlin) for the “Data Management for End-to-End ML” workshop
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Web Chairs: Sebastian Schelter (BIFOLD & TU Berlin), Luca Zecchini (BIFOLD & TU Berlin)