Conferences / ACM SIGMOD/PODS (International Conference on Management of Data)
SIGMOD/PODS 2024
Jun 9–14, 2024 · InterContinental Santiago, Santiago, Chile
- Conference
- ACM SIGMOD/PODS (International Conference on Management of Data) Academic
- Dates
- Jun 9, 2024 – Jun 14, 2024
- Venue
- InterContinental Santiago
- Place
- Santiago, Chile
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- 2024.sigmod.org
- Recorded
- 13 sponsors · 44 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). Also includes sponsor talks (role 'sponsor talk'). Site lists sponsors as 'Supporters'; ACM SIGMOD shown as the 'Sponsor'.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Workshops only, ACM student member (early bird) | $200 | May 19, 2024 | 2024.sigmod.org | |
| Workshops only, student non-member (early bird) | $225 | May 19, 2024 | 2024.sigmod.org | |
| Workshops only, ACM member (early bird) | $300 | May 19, 2024 | 2024.sigmod.org | |
| Workshops only, non-member (early bird) | $350 | May 19, 2024 | 2024.sigmod.org | |
| Full conference, ACM student member (early bird) | $400 | May 19, 2024 | 2024.sigmod.org | |
| Full conference, student non-member (early bird) | $500 | May 19, 2024 | 2024.sigmod.org | |
| Full conference, ACM member (early bird) | $800 | May 19, 2024 | 2024.sigmod.org | |
| Full conference, non-member (early bird) | $1,000 | May 19, 2024 | 2024.sigmod.org | |
| Workshops only, ACM student member (regular) | $250 | Jun 7, 2024 | 2024.sigmod.org | |
| Workshops only, student non-member (regular) | $275 | Jun 7, 2024 | 2024.sigmod.org | |
| Workshops only, ACM member (regular) | $350 | Jun 7, 2024 | 2024.sigmod.org | |
| Workshops only, non-member (regular) | $400 | Jun 7, 2024 | 2024.sigmod.org | |
| Full conference, ACM student member (regular) | $450 | Jun 7, 2024 | 2024.sigmod.org | |
| Full conference, student non-member (regular) | $550 | Jun 7, 2024 | 2024.sigmod.org | |
| Full conference, ACM member (regular) | $900 | Jun 7, 2024 | 2024.sigmod.org | |
| Full conference, non-member (regular) | $1,100 | Jun 7, 2024 | 2024.sigmod.org | |
| Workshops only, ACM student member (on site) | $300 | — | 2024.sigmod.org | |
| Workshops only, student non-member (on site) | $325 | — | 2024.sigmod.org | |
| Workshops only, ACM member (on site) | $400 | — | 2024.sigmod.org | |
| Workshops only, non-member (on site) | $450 | — | 2024.sigmod.org | |
| Full conference, ACM student member (on site) | $650 | — | 2024.sigmod.org | |
| Full conference, student non-member (on site) | $750 | — | 2024.sigmod.org | |
| Full conference, ACM member (on site) | $1,200 | — | 2024.sigmod.org | |
| Full conference, non-member (on site) | $1,400 | — | 2024.sigmod.org |
Sponsors 13
Title / headline 1
- Amazon Web Services · Diamond Supporters
Platinum 5
- Alibaba Cloud · Platinum Supporters
- Apple · Platinum Supporters
- Google · Platinum Supporters
- Huawei · Platinum Supporters
- Microsoft · Platinum Supporters
Gold 4
Silver 3
- Cockroach Labs · Silver Supporters
- Megagon Labs · Silver Supporters
- MotherDuck · Silver Supporters
Speakers and talks 44
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Peter Boncz | CWI Amsterdam and MotherDuck | Keynote | Making Data Management Better with Vectorized Query Processing | — |
| Ricardo Baeza-Yates | Institute for Experiential AI, Northeastern University | Keynote | The Limitations of Data, ML & Us | — |
| Xin Luna Dong | Meta | Keynote | The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG) | — |
| Ahmed H Metwally | Uber | Industry paper | Similarity Joins of Sparse Features | — |
| Alejandro Salinger | Snowflake | Sponsor talk | Efficient query processing and searching in Snowflake | — |
| Andrew Lamb | InfluxData | Industry paper | Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine | SlidesVideoPaper |
| Anna Pavlenko | Microsoft | Industry paper | Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud | — |
| Changlong Yu | HKUST | Industry paper | COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon | — |
| Chao Zhang | Zhejiang University | Industry paper | FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis | — |
| Danica Porobic | Oracle | Sponsor talk | Intention is all we need to create data apps | — |
| Daoyuan Chen | Alibaba Cloud | Industry paper | Data-Juicer: A One-Stop Data Processing System for Large Language Models | — |
| David Kalmuk | IBM | Industry paper | Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture | — |
| Fatma Ozcan and Justin Levandoski | Sponsor talk | Data and AI in Databases and Analytics at Google | — | |
| Hao Xu | Industry paper | Bouncer: Admission Control with Response Time Objectives for Low-latency Online Data Systems | — | |
| Ippokratis Pandis | Amazon Web Services | Sponsor talk | Data Management innovation at Amazon Web Services | — |
| Javier de la Rúa Martínez | Hopsworks | Industry paper | The Hopsworks Feature Store for Machine Learning | — |
| Jialin Ding | Amazon Web Services | Industry paper | Automated Multidimensional Data Layouts in Amazon Redshift | — |
| Jianjun Chen | ByteDance | Sponsor talk | Infrastructure system challenges and research at ByteDance | — |
| Jianjun Deng | Alibaba Cloud | Industry paper | TimeCloth: Fast Point-in-Time Database Recovery in The Cloud | — |
| Josep Aguilar Saborit | Microsoft | Industry paper | Extending Polaris to Support Transactions | — |
| Julian Hyde | Industry paper | SQL with Measures | — | |
| Justin Levandoski | Industry paper | BigLake: BigQuery's Evolution toward a Multi-Cloud Lakehouse | — | |
| Lei Wang | Huawei | Sponsor talk | Innovation in Cloud-native GaussDB for higher performance, higher availability and higher intelligence. | — |
| Marcelo Arenas | UC Chile | PODS keynote | A Data Management Approach to Explainable AI | — |
| Nicolas Bruno | Microsoft | Industry paper | Unified Query Optimization in the Fabric Data Warehouse | — |
| Olga Poppe | Microsoft | Industry paper | Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless | — |
| Pavan Edara | Industry paper | Vortex: A Stream-oriented Storage Engine For Big Data Analytics | — | |
| Raghu Ramakrishnan | Microsoft | Sponsor talk | Microsoft Fabric: Open Lakes, Not Walled Gardens | — |
| Shikun Tian | Ant Group | Industry paper | LETUS: A Log-Structured Efficient Trusted Universal BlockChain Storage | — |
| Stefano Ceri | Politecnico di Milano | Industry paper | PG-Triggers: Triggers for Property Graphs | — |
| Suratna Budalakoti | Oracle | Industry paper | Automated Clustering Recommendation With Database Zone Maps | — |
| Tao He | Alibaba Cloud | Industry paper | GraphScope Flex: LEGO-like Graph Computing Stack | — |
| Tobias Schmidt | TUM | Industry paper | Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses | — |
| Vikram Nathan | Amazon Web Services | Industry paper | Intelligent Scaling in Amazon Redshift | — |
| Wei Li | Alibaba Cloud | Industry paper | Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB | — |
| wei zhang | ByteDance | Industry paper | BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance | — |
| Wentao Zhang | Peking University | Industry paper | NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention | — |
| Wenyuan Yu | Alibaba Cloud | Sponsor talk | GraphScope's Journey with Graph Computing: Progress and Lessons | — |
| Xianchun Bao | sics | Industry paper | Rock: Cleaning Data by Embedding ML in Logic Rules | — |
| xinjun Yang | Alibaba Cloud | Industry paper | PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory | — |
| Yacine Taleb | Amazon Web Services | Industry paper | Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database | — |
| Yupu Zhang | University of Electronic Science and Technology of China | Industry paper | ESTELLE: An Efficient and Cost-effective Cloud Log Engine | — |
| Yuxing Han | ByteDance | Industry paper | ByteCard: Enhancing ByteDance's Data Warehouse with Learned Cardinality Estimation | — |
| Ziniu Wu | Massachusetts Institute of Technology | Industry paper | Stage: Query Execution Time Prediction in Amazon Redshift | — |