Conferences / ACM SIGMOD/PODS (International Conference on Management of Data)
SIGMOD/PODS 2025
Jun 22–27, 2025 · InterContinental Berlin, Berlin, Germany
- Conference
- ACM SIGMOD/PODS (International Conference on Management of Data) Academic
- Dates
- Jun 22, 2025 – Jun 27, 2025
- Venue
- InterContinental Berlin
- Place
- Berlin, Germany
- Format
- In person
- Status
- Past
- Attendance
- 1,200Registration page update (30 May 2025): 'over 1,200 participants have already registered', capacity nearly full. Pre-event registration count, not final headcount.
- Website
- 2025.sigmod.org
- Recorded
- 23 sponsors · 40 speaker appearances
- Notes
- speakers: keynotes only, plus SIGMOD industrial-track papers (one speaker per paper: the starred/presenting author when the list marks one, otherwise the first author). Fees in EUR.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Workshops only, ACM student member (early) | €200 | May 18, 2025 | 2025.sigmod.org | |
| Workshops only, student non-member (early) | €250 | May 18, 2025 | 2025.sigmod.org | |
| Workshops only, ACM member (early) | €250 | May 18, 2025 | 2025.sigmod.org | |
| Workshops only, non-member (early) | €300 | May 18, 2025 | 2025.sigmod.org | |
| Main conference, ACM student member (early) | €650 | May 18, 2025 | 2025.sigmod.org | |
| Main conference, student non-member (early) | €800 | May 18, 2025 | 2025.sigmod.org | |
| Main conference, ACM member (early) | €950 | May 18, 2025 | 2025.sigmod.org | |
| Main conference, non-member (early) | €1,100 | May 18, 2025 | 2025.sigmod.org | |
| Workshops only, ACM student member (standard) | €250 | Jun 20, 2025 | 2025.sigmod.org | |
| Workshops only, student non-member (standard) | €300 | Jun 20, 2025 | 2025.sigmod.org | |
| Workshops only, ACM member (standard) | €300 | Jun 20, 2025 | 2025.sigmod.org | |
| Workshops only, non-member (standard) | €350 | Jun 20, 2025 | 2025.sigmod.org | |
| Main conference, ACM student member (standard) | €910 | Jun 20, 2025 | 2025.sigmod.org | |
| Main conference, student non-member (standard) | €1,060 | Jun 20, 2025 | 2025.sigmod.org | |
| Main conference, ACM member (standard) | €1,330 | Jun 20, 2025 | 2025.sigmod.org | |
| Main conference, non-member (standard) | €1,480 | Jun 20, 2025 | 2025.sigmod.org | |
| Main conference, ACM student member (late/on site) | €975 | — | 2025.sigmod.org | |
| Main conference, student non-member (late/on site) | €1,125 | — | 2025.sigmod.org | |
| Main conference, ACM member (late/on site) | €1,425 | — | 2025.sigmod.org | |
| Main conference, non-member (late/on site) | €1,575 | — | 2025.sigmod.org |
Sponsors 23
Title / headline 2
- Amazon Web Services · Diamond Sponsors
- Snowflake · Diamond Sponsors
Platinum 6
- Alibaba Cloud · Platinum Sponsors
- Databricks · Platinum Sponsors
- Google · Platinum Sponsors
- Huawei · Platinum Sponsors
- Microsoft · Platinum Sponsors
- Salesforce · Platinum Sponsors
Gold 5
- ByteDance · Gold Sponsors
- Oracle · Gold Sponsors
- RelationalAI · Gold Sponsors
- SAP · Gold Sponsors
- Tencent · Gold Sponsors
Silver 4
- Adobe · Silver Sponsors
- Everest Systems · Silver Sponsors
- Megagon Labs · Silver Sponsors
- Observe · Silver Sponsors
Community 6
- BIFOLD · Supporters
- DFKI · Supporters
- Hasso Plattner Institute · Supporters
- Humboldt University of Berlin · Supporters
- TU Berlin · Supporters
- University of Potsdam · Supporters
Speakers and talks 40
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Christos H. Papadimitriou | Columbia University | Keynote | How to Build a Brain? | — |
| Margo Seltzer | University of British Columbia | Keynote | The Case for Collaboration (Everything a Database Person really needs to know about Machine Learning) | — |
| Phil Bernstein | Microsoft | Keynote | Fifty Years of Transaction Processing Research | — |
| Andreas Zimmerer | University of Technology Nuremberg | Industry paper | Pruning in Snowflake: Working Smarter, Not Harder | — |
| Andrei Paduroiu | Amazon Web Services | Industry paper | Managed Resource Scaling in Amazon EMR | — |
| Benjamin Hilprecht | Everest Systems | Industry paper | Scalable Execution of Application Logic within Everest BusinessStore | — |
| Bingqing Lyu | Alibaba Cloud | Industry paper | A Modular Graph-Native Query Optimization Framework | — |
| Bingsheng He | National University of Singapore | Industry paper | OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML | — |
| Bo Tang | Southern University of Science and Technology & AlayaDB AI | Industry paper | AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference | — |
| Chen Xu | East China Normal University | Industry paper | Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models | — |
| Daniel Ritter | SAP | Industry paper | SAP HANA Cloud: Data Management for Modern Enterprise Applications | — |
| Daniel Sotolongo | Snowflake | Industry paper | Streaming Democratized: Ease Across the Latency Spectrum with Delayed View Semantics and Snowflake Dynamic Tables | — |
| Gabriela Jacques-Silva | Meta | Industry paper | Unified Lineage System: Tracking Data Provenance at Scale | — |
| Hao Chen | Alibaba Cloud | Industry paper | Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases | — |
| Jesús Camacho-Rodríguez | Microsoft | Industry paper | AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes | — |
| Jiazhi Jiang | Beijing Normal University | Industry paper | Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Service in Tencent | — |
| Kihong Kim | SAP | Industry paper | Enterprise Application-Database Co-Innovation for Hybrid Transactional/Analytical Processing: A Virtual Data Model and Its Query Optimization Needs | — |
| Leonid Libkin | University of Edinburgh & RelationalAI | Industry paper | Rel: A Programming Language for Relational Data | — |
| Lukas Landgraf | TU Dresden | Industry paper | Experimental Evaluation of Optimizing Memory Consumption in SAP HANA using PEOopt | — |
| Martin Grund | Databricks | Industry paper | Databricks Lakeguard: Supporting fine-grained access control and multi-user capabilities for Apache Spark workloads. | — |
| Nicolas Bruno | Microsoft | Industry paper | Query Decorrelation in the Fabric Data Warehouse | — |
| Norifumi Nishikawa | Hitachi Vantara | Industry paper | Dynamic Pruning for Recursive Joins | — |
| Quanqing Xu | OceanBase | Industry paper | MaLT: A Framework for Managing Large Transactions in OceanBase | — |
| Ramesh Chandra | Databricks | Industry paper | Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond | — |
| Rebecca Taft | Cockroach Labs | Industry paper | CockroachDB Serverless: Sub-second scaling from zero with multi-region cluster virtualization | — |
| Rong Kang | ByteDance | Industry paper | ABase: The Multi-Tenant NoSQL Serverless Database for Diverse and Dynamic Workloads in Large-scale Cloud Environments | — |
| Sen Gao | Huawei | Industry paper | GES: High-Performance Graph Processing Engine and Service in Huawei | — |
| Shashank Gugnani | Oracle | Industry paper | JSON Relational Duality: A Revolutionary Combination of Document, Object, and Relational Models | — |
| Shige Liu | Purdue University | Industry paper | TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs | — |
| Shihabur Chowdhury | Apple | Industry paper | MicroNN: An On-device Disk-resident Updatable Vector Database | — |
| Shihao Zhou | East China Normal University & Xiaohongshu | Industry paper | RedTAO: A Trillion-edge High-throughput Graph Store | — |
| Timothy Zeyl | Huawei | Industry paper | Including Bloom Filters in Bottom-up Optimization | — |
| V. Srinivasan | Aerospike | Industry paper | Asynchronous Replication Strategies for a Real-Time DBMS | — |
| Virginia Vassilevska Williams | MIT | PODS keynote | A fine-grained approach to algorithms and complexity | — |
| Wenchao Zhou | Alibaba Cloud | Industry paper | Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB | — |
| Wenchao Zhou | Alibaba Cloud | Industry paper | Eigen+: Memory Over-Subscription for Alibaba Cloud Databases | — |
| Yiwen Zhu | Microsoft | Industry paper | Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment | — |
| Yuxing Chen | Tencent | Industry paper | TXSQL: Lock Optimizations Towards High Contented Workloads | — |
| Zeyan Li | ByteDance | Industry paper | Adaptive and Efficient Log Parsing as a Cloud Service | — |
| Zongzhi Chen | Alibaba Cloud | Industry paper | CloudJump II: Optimizing Cloud Databases for Shared Storage | — |