Conferences / ACM SIGMOD/PODS (International Conference on Management of Data)
SIGMOD/PODS 2023
Jun 18–23, 2023 · Hyatt Regency Bellevue, Bellevue, WA, United States
- Conference
- ACM SIGMOD/PODS (International Conference on Management of Data) Academic
- Dates
- Jun 18, 2023 – Jun 23, 2023
- Venue
- Hyatt Regency Bellevue
- Place
- Bellevue, WA, United States
- Format
- In person
- Status
- Past
- Attendance
- 970Murat Demirbas blog recap of the opening session: 'The conference attracted 970 attendants!' (47% US). Not an official figure.
- Website
- 2023.sigmod.org
- Recorded
- 24 sponsors · 23 speaker appearances
- Notes
- Seattle metropolitan area (Bellevue). 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). Full-conference fees include a banquet ticket; extra banquet ticket $175.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Workshops only, ACM student member (early bird) | $200 | May 1, 2023 | 2023.sigmod.org | |
| Workshops only, student non-member (early bird) | $225 | May 1, 2023 | 2023.sigmod.org | |
| Workshops only, ACM professional member (early bird) | $300 | May 1, 2023 | 2023.sigmod.org | |
| Workshops only, professional non-member (early bird) | $350 | May 1, 2023 | 2023.sigmod.org | |
| Full conference, ACM student member (early bird) | $500 | May 1, 2023 | 2023.sigmod.org | |
| Full conference, student non-member (early bird) | $650 | May 1, 2023 | 2023.sigmod.org | |
| Full conference, ACM professional member (early bird) | $900 | May 1, 2023 | 2023.sigmod.org | |
| Full conference, professional non-member (early bird) | $1,000 | May 1, 2023 | 2023.sigmod.org | |
| Workshops only, ACM student member (after May 1) | $250 | Jun 11, 2023 | 2023.sigmod.org | |
| Workshops only, student non-member (after May 1) | $275 | Jun 11, 2023 | 2023.sigmod.org | |
| Workshops only, ACM professional member (after May 1) | $350 | Jun 11, 2023 | 2023.sigmod.org | |
| Workshops only, professional non-member (after May 1) | $400 | Jun 11, 2023 | 2023.sigmod.org | |
| Full conference, ACM student member (after May 1) | $750 | Jun 11, 2023 | 2023.sigmod.org | |
| Full conference, student non-member (after May 1) | $900 | Jun 11, 2023 | 2023.sigmod.org | |
| Full conference, ACM professional member (after May 1) | $1,200 | Jun 11, 2023 | 2023.sigmod.org | |
| Full conference, professional non-member (after May 1) | $1,300 | Jun 11, 2023 | 2023.sigmod.org | |
| Full conference, ACM student member (after June 11) | $800 | — | 2023.sigmod.org | |
| Full conference, student non-member (after June 11) | $950 | — | 2023.sigmod.org | |
| Full conference, ACM professional member (after June 11) | $1,250 | — | 2023.sigmod.org | |
| Full conference, professional non-member (after June 11) | $1,350 | — | 2023.sigmod.org |
Sponsors 24
Title / headline 1
- Amazon Web Services · Diamond Sponsors
Platinum 7
- Alibaba Cloud · Platinum Sponsors
- Apple · Platinum Sponsors
- Confluent · Platinum Sponsors
- Databricks · Platinum Sponsors
- Google · Platinum Sponsors
- Microsoft · Platinum Sponsors
- Salesforce · Platinum Sponsors
Gold 8
Silver 7
- Aerospike · Silver Sponsors
- CelerData · Silver Sponsors
- Cockroach Labs · Silver Sponsors
- Megagon Labs · Silver Sponsors
- MotherDuck · Silver Sponsors
- SingleStore · Silver Sponsors
- Undo · Silver Sponsors
Other 1
- NSF · Student Travel Award Sponsor
Speakers and talks 23
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Don Chamberlin | IBM | Keynote | 49 Years of Queries | — |
| Vanessa Murdock | Amazon Web Services | Keynote | Mixed Methods Machine Learning | — |
| Barzan Mozafari | University of Washington | Industry paper | Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning | — |
| Hanyu Zhao | Peking University | Industry paper | GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning | — |
| James Sun | Meta | Industry paper | Presto: A Decade of SQL Analytics at Meta | — |
| Jan Hidders | Birkbeck, University of London | Industry paper | PG-Schema: Schemas for Property Graphs | — |
| Jason M Mohoney | University of Washington | Industry paper | High-Throughput Vector Similarity Search in Knowledge Graphs | — |
| Jeffrey Pound | Apple | Industry paper | Growing and Serving Large Open-domain Knowledge Graphs | — |
| Jianying Wang | Alibaba Cloud | Industry paper | PolarDB-IMCI:A Cloud-Native HTAP Database System at Alibaba | — |
| Jignesh Patel | UW - Madison | Industry paper | DataChat: An Intuitive and Collaborative Data Analytics Platform | — |
| Jinsong Guo | University of Washington | Industry paper | When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler | — |
| Jure Leskovec | Stanford University | PODS keynote | Databases as Graphs: Predictive Queries for Declarative Machine Learning | — |
| Shaoxu Song | Tsinghua University | Industry paper | Apache IoTDB: A Time Series Database for IoT Applications | — |
| Shazia Sadiq | University of Washington | DEI keynote | DEI Perspectives in Information Technology Education | — |
| Siying Dong | Meta | Industry paper | Disaggregating RocksDB: A Production Experience | — |
| Sven Langenecker | DHBW Mosbach | Industry paper | Steered Training Data Generation for Learned Semantic Type Detection | — |
| Tim Kraska | MIT | Industry paper | Auto-WLM: ML-enhanced workload management in Amazon Redshift | — |
| Tyler Akidau | Snowflake | Industry paper | What’s the difference? Incremental processing with change queries in Snowflake | — |
| Wenyuan Yu | Alibaba Cloud | Industry paper | Vineyard: Optimizing Data Sharing in Data-Intensive Analytics | — |
| Xiaowei Zhu | Ant Group | Industry paper | GeaFlow: A Graph Extended and Accelerated Dataflow System | — |
| Xinying Yang | ByteDance | Industry paper | VeDB: A Software and Hardware Enabled Trusted Relational Database | — |
| Yuanyuan Tian | Microsoft | Industry paper | Towards Building Autonomous Data Services on Azure | — |
| Zhichen Xu | Industry paper | Keep Your Distributed Data Warehouse Consistent at a Minimal Cost | — |