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• SIGMOD Call for Research Papers
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Accepted Industry Papers for SIGMOD

• ByteGraph-Dione: An Adaptive Dual-Format Graph Engine with Hotspot Awareness and Transaction Efficiency for Production-Scale Workloads
  Chao Chen (Bytedance); Cheng Chen (Bytedance)*; Huiming Zhu (Bytedance); Shijiao Yang (Bytedance); Yingqian Hu (Bytedance); Wei Wang (Bytedance); Wei Zhang (Bytedance); Bingyu Zhou (Bytedance); Miaomiao Cheng (Bytedance); Lei Xiao (Bytedance); Ping Yang (Bytedance); Ye Wang (Bytedance); Shuai Zhang (Bytedance); Lei Zhang (Bytedance)
• Learned Query Optimizer in Alibaba MaxCompute: Challenges, Analysis, and Solutions
  Lianggui Weng (Alibaba Group); Dandan Liu (Alibaba Group); Wenzhuang Zhu (Alibaba Group); Rong Zhu (Alibaba Group)*; Junzheng Zheng (Alibaba Group); Bolin Ding (Alibaba Group); Zhiguo Zhang (Alibaba Group); Jingren Zhou (Alibaba Group)
• Bitmap Filtering in the Fabric Data Warehouse
  Nicolas Bruno (Microsoft)*; Cesar Galindo-Legaria (Microsoft); Milind Joshi (Microsoft); Ernesto Cervantes Juarez (Microsoft); Jose Alberto Lopez Magana (Microsoft); Josep Aguilar Saborit (Microsoft)
• Poseidon: A OneGraph Engine
  Brad Bebee (Amazon Web Services); Ümit Çatalyürek (Amazon Web Services); Olaf Hartig (Amazon Web Services); Ankesh Khandelwal (Amazon Web Services); Simone Rondelli (Amazon Web Services); Michael Schmidt (Amazon Web Services); Lefteris Sidirourgos (Amazon Web Services)*; Bryan Thompson (Amazon Web Services)
• 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 Tsui (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)
• TokaDB: A Unified Storage Engine for Training-Serving Data Management in Large Recommendation Models
  Peng Fang (Huazhong University of Science and Technology)*; Keilei Guo (Huazhong University of Science and Technology); Cheng Chen (Bytedance); Wei Zhang (Bytedance); Mingming Chen (Huazhong University of Science and Technology); Huaye Xu (Bytedance); Borong Meng (Bytedance); Zongjia Chen (Bytedance); Mingshuai Wang (Bytedance); Luping Wang (Bytedance); Yuan Zhang (Bytedance); Shiru Ren (Bytedance); Fang Wang (Huazhong University of Science and Technology); Dan Feng (Huazhong University of Science and Technology)
• NebulaSQL: A Large-scale Feature Computation System for Online Recommendation
  Zichao Zhang (Alibaba Group); Feng Han (Alibaba Group)*; Yan Zhang (Alibaba Group); Tianchen Ye (Alibaba Group); Xingyu Wen (Alibaba Group); Shuo Feng (Alibaba Group); Peiying Wang (Alibaba Group); Li Peng (Alibaba Group); Weiran Liu (Alibaba Group); Jiamang Wang (Alibaba Group); Lei Zhang (Alibaba Group); Bo Zheng (Alibaba Group); Lin Qu (Alibaba Group)
• ByteHouse: ByteDance's Cloud-Native Data Warehouse for Real-Time Multimodal Data Analytics
  Yuxing Han (ByteDance); Yu Lin (ByteDance); Yifeng Dong (ByteDance); Xuanhe Zhou (SJTU)*; Xindong Peng (ByteDance); Xinhui Tian (ByteDance); Zhiyuan You (ByteDance); Yingzhong Guo (ByteDance); Xi Chen (ByteDance); Weiping Qu (ByteDance); Tao Meng (ByteDance); Dayue Gao (ByteDance); Haoyu Wang (ByteDance); Liuxi Wei (ByteDance); Huanchen Zhang (Tsinghua Univ); Fan Wu ( Shanghai Jiao Tong Univ)
• Scalable Leader Leases For Multi Consensus Groups in CockroachDB
  Ibrahim Kettaneh (Cockroach Labs); Tsvetomira Radeva (Cockroach Labs); Arul Ajmani (Cockroach Labs); Sumeer Bhola (Cockroach Labs); Nathan VanBenschoten (Turbopuffer); Rebecca Taft (Cockroach Labs)*
• CLAPS: A Load-Aware Proxy Resource Pooling System for Reducing Resource Redundancy in Large-Scale Cloud Storage
  Xiuqi Huang (Zhejiang University)*; Shiwei Cao (Zhejiang University); Honghao Wang (ByteDance); Ruijie He ( ByteDance); Huameng Zhou (ByteDance); Cheng Wang ( ByteDance); Linyu Chen (Zhejiang University); Qingsong Zhu (ByteDance); Zhou Yang (ByteDance); Yunlong Wang (ByteDance); Xunzhi Xu (ByteDance); Yangming Chen (ByteDance); Chen Ling ( ByteDance); Bingwen Yuan (ByteDance); Yushan Sun (ByteDance); Maoyin Liu ( ByteDance); Chengyu Dong (ByteDance); Rui Shi (ByteDance); Wei Chen (Zhejiang University)
• Scalable and Resilient Storage Tier for Azure SQL Hyperscale
  Alejandro Hernandez Saenz (microsoft); Krystyna Reisteter (microsoft); Sarika Iyer (microsoft); Ryan Wang (microsoft); Shweta Raje (microsoft); Swati Roy (microsoft); Bhupesh Chawda (microsoft); Kashish Goyal (microsoft)*; Vishnu Das (microsoft); Kinshuk Chopra (microsoft); Rishita Chauhan (microsoft); Prashanth Purnananda (microsoft); Hanuma Kodavalla (microsoft)
• CloudJump III: Optimizing Cloud Databases for Tiered Storage
  Zongzhi Chen ( Alibaba Group)*; Mo Sha (Alibaba Group); Feifei Li (Alibaba Group); Sheng Wang (Alibaba Group); Baolin Huang (Alibaba Group); Guoqing Ma (Alibaba Group); Huaxiong Song (Alibaba Group); Ke Yu (Alibaba Group); Xizhe Zhang (Alibaba Group); Yuan Wang (Alibaba Group)
• Building, Serving, and Growing a Conversational AI Assistant for Enterprise
  Sai Sree Harsha (Adobe)*; Akash Maharaj (Adobe); Yunyao Li (Adobe); Kun Qian (Adobe)
• FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud
  Yuhao Lin (Wuhan University)*; Zhipeng Tang (Alibaba Cloud); Jiayan Tong (Alibaba Cloud); Junqing Xiao (Alibaba Cloud); Bin Lu (Alibaba Cloud); Yuhang Li (Alibaba Cloud); Chao Li (Alibaba Cloud); Zhiguo Zhang (Alibaba Cloud); Junhua Wang (Alibaba Cloud); Hao Luo (Wuhan University); James Cheng (The Chinese University of Hong Kong); Chuang Hu (Wuhan University); Jiawei Jiang (Wuhan University); Xiao Yan (Wuhan University)
• G2+D: A High Performance Distributed Graph Mining System
  Shanshan Hu (ByteDance)*; Yusheng Ding (ByteDance); Chia-Hao Liu (ByteDance); Zhenjie Zhang (ByteDance); Yitao Wang (ByteDance); Chenzhao Wang (ByteDance); Alex Chen (ByteDance); Xucheng Ma (ByteDance); Xuyang Zhou (ByteDance); Cheng Chen (ByteDance); Yiliu Jiang (ByteDance); Yiyi Tao (ByteDance); Jiaxin Li (ByteDance); Zhibin Cai (ByteDance); Yuhang Zhao (ByteDance); Zhujie He (ByteDance); Zijie Huang (ByteDance); Yingqian Hu (ByteDance); Sonia Xiao (ByteDance); Yebin Zhang (ByteDance)
• Learned Root-Cause SQL Prioritization and Diagnosis for Complex Database Performance Issues
  Kecheng Luo (East China Normal University)*; Sijia Li (East China Normal University); Miaodong Shen (Meituan); Yiqi Shen (East China Normal University); Pinshan Cao (East China Normal University); Peng Cai (East China Normal University); Xiang Wu (Meituan); Kai Li (Meituan); Jinlong Cai (Meituan); Weiyuan Xu (Meituan)
• LindormVector: A Distributed Vector Engine on a Cloud-Native Multi-Model NoSQL Database
  Yan Wang (Alibaba Cloud); Jian Zhou (Alibaba Cloud Inc); Sai Huang (Alibaba Cloud Inc); Chao Dou (Alibaba Cloud Inc); Hanwen Tian (Alibaba Cloud Inc); Zhijie Jiang (Alibaba Cloud Inc); Zongning Zhang (Alibaba Cloud Inc); Xiaoqi Li (USTC); Zhencan Peng (Rutgers University); Chunhui Shen (Alibaba Cloud Inc); Wei Zhang (Alibaba Cloud Inc); Feifei Li (Alibaba Cloud Inc); Dong Deng (Alibaba Cloud Computing)*
• Aurora PostgreSQL Limitless Database: Building a Highly Scalable OLTP Database
  Dima Arkhangelskiy (Amazon Web Services); Saikiran Avula (Amazon Web Services); Sachit Batra (Amazon Web Services); Jin Chen (Amazon Web Services); Radwan Deeb (Amazon Web Services); Alexey Gotsman (Amazon Web Services and IMDEA Software Institute); Upendra Gowda (Amazon Web Services); Haritabh Gupta (Amazon Web Services); Benoit Hudzia (Amazon Web Services); Rishabh Jain (Amazon Web Services); Kaumudi Kaushik (Amazon Web Services); Aravind Kumar Kumar (Amazon Web Services); Sergey Melnik (Amazon Web Services); Saleem Mohideen (Amazon Web Services); Sharique Muhammed (Amazon Web Services); Davor Prugovecki (Amazon Web Services); Sanjay Shanthakumar (Amazon Web Services); Sagar Shedge (Amazon Web Services); Anand Kumar Thakur (Amazon Web Services); David Wein (Amazon Web Services)
• TDSQL-Boundless: A Distributed Database System for Large-scale Heterogeneous Multi-Table Workloads
  Yuxing Chen (Tencent)*; Jie Jiang (Tencent Inc.); Xiaolong He (Tencent Inc.); Ziyi Lu (Tencent Inc.); Shuo Han (Tencent Inc.); Anqun Pan (Tencent Inc.); Chong Zhu (Tencent Inc.); Chang Liu (Tencent Inc.); Xuan Zhao (Tencent Inc.); Yu Li (Tencent Inc.); Yan Tang (Tencent Inc.); Dongzhi Zhao (Tencent Inc.); Wen Zhang (Tencent Inc.); Hailin Lei (Tencent Inc.); Lixiong Zheng (Tencent Inc.); Feng Zhang (Renmin University of China); Mingde Zhang ( Renmin University of China); Yiteng Chu (Renmin University of China); Wei Lu (Renmin University of China); Yunpeng Chai (Renmin University of China); Xiaoyong Du (Renmin University of China)
• SQLens: Continuous Code–to–SQL Visibility in the Wild
  Xiao Yang (Alibaba Group); Mo Sha (Alibaba Group)*; Yiran Li ( Alibaba Group); Suyang Zhong (Alibaba Group); Sheng Wang (Alibaba Group); Fangyuan Zhou (Alibaba Group); Feifei Li (Alibaba Group)
• Fabric-X: Scaling Hyperledger Fabric for Asset Exchange
  Elli Androulaki (IBM Research); Marcus Brandenburger (IBM Research); May Buzaglo (IBM Research); Angelo de Caro (IBM Research); Kaoutar El Khiyaoui (IBM Research); Alexandros Filios (IBM Research ); Liran Funaro (IBM Research); Yacov Manevich (IBM Research ); Hagar Meir (IBM Research ); Senthilnathan Natarajan (IBM Research )*; Manish Sethi (IBM Research ); Yoav Tock (IBM Research )
• Cortex AISQL: A Production SQL Engine for Unstructured Data
  Pawel Liskowski (Snowflake)*; Benjamin Han (Snowflake); Paritosh Aggarwal (Snowflake); Bowei Chen (Snowflake); Boxin Jiang (Snowflake); Nitish Jindal (Snowflake); Zihan Li (Snowflake); Aaron Lin (Snowflake); Kyle Schmaus (Snowflake); Jay Tayade (Snowflake); Weicheng Zhao (Snowflake); Anupam Datta (Snowflake); Nathan Wiegand (Snowflake); Dimitris Tsirogiannis (Snowflake)
• RIOT: Replicated Independently-Ordered Transactions
  Jim Webber (Neo4j)*; Georgios Theodorakis (Nvidia); Hugo Firth (Neo4j); Natacha Crooks (UC Berkeley)
• Twenty Years of Bigtable
  Fabio Baltieri (Google); Bora Beran (Google); Igor Bernstein (Google); Aimee Borda (Google); Adrian Chan (Google); Mark D'Andrea (Google); Artak Dashyan (Google); Ramesh Dharan (Google); Gabor Dinnyes (Google); Mike Dominguez (Google); Eric Dorland (Google); Jose Duenas (Google); Gary Elliott (Google); Bruno Furtado (Google); Madison Garcia (Google); Marcal Garolera Huguet (Google); Brendan Gleason (Google); Alexis Hawkins (Google); Jeremy Hurwitz (Google); Anoshak Irani (Google); Sudarshan Kadambi (Google); Vikram Khemka (Google); Sailesh Krishnamurthy (Google); Maxim Krivokon (Google); Bruce Lee (Google); Xiaozhou Li (Google)*; Rohit Jog (Google); Tom Magrino (Google); Matt Maly (Google); Mark Mangrich (Google); Doug McErlean (Google); Pablo Montes (Google); Li Moore (Google); Eduardo Morales (Google); Greg Morris (Google); Steve Niemitz (Google); An Nguyen (Google); Gaurav Prabhu Gaonkar (Google); Jim Rutherford (Google); Steven Ryan (Google); Sho Saha (Google); Kanoj Sarcar (Google); Cristina Schmidt (Google); Andrii Shyshkalov (Google); Pratibha Suryadevara (Google); Nick Suttle (Google); Anvit Tawar (Google); John Tobin (Google); Justin Uang (Google); Phaneendhar Vemuru (Google); Harendra Verma (Google); Shitanshu Verma (Google); Jinghang Wang (Google); Michal Wegorek (Google); Simon Yau (Google); Andrius Ziukas (Google)
• From JSON to Duality: Automated Application Migration from Document to Relational Databases
  Shashank Gugnani (Oracle)*; Shadab Ahmed (Oracle); Shubham Pednekar (Oracle); Sanju Gowda (Oracle); Sarvesh Tandon (Oracle); Sukhada Pendse (Oracle)
• Analyzing and Improving Floating-Point Compression for Application Monitoring Time Series
  Konstantin Urbanides (Dynatrace)*; Markus Weninger (Johannes Kepler University Linz); Otmar Ertl (Dynatrace)
• Enzyme: Incremental View Maintenance With Spark Declarative Pipelines
  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.); Sourav Chatterji (Databricks, Inc.); Indrajit Roy (Databricks, Inc.); Tahir Fayyaz (Databricks, Inc.); Paul Lappas (Databricks, Inc.); Bilal Aslam (Databricks, Inc.); Ross Bunker (Databricks, Inc.); Yannis Papakonstantinou (Databricks, Inc.); Michael Armbrust (Databricks, Inc.); Shrikanth Shankar (Databricks, Inc.)
• ConDABench: Interactive Evaluation of Language Models for Data Analysis
  Avik Dutta (Microsoft)*; Priyanshu Gupta (Microsoft); Hosein Hasanbeig (Microsoft); Rahul Pratap Singh (Microsoft); Harshit Nigam (Microsoft); Sumit Gulwani (Microsoft); Arjun Radhakrishna (Microsoft); Gustavo Soares (Microsoft); Ashish Tiwari (Microsoft)
• LakeMem: An Elastic Disaggregated-Memory Caching Layer for Analytical Processing Systems
  Xinyi Yu (Xiamen University & Alibaba Cloud Computing); Yingqiang Zhang (Alibaba Cloud Computing); Hao Chen (Alibaba Cloud Computing)*; Zhaoxiang Huang (Xiamen University & Alibaba Cloud Computing); Xinjun Yang (Alibaba Cloud Computing); Feifei Li (Alibaba Cloud Computing); Chuan Sun (Alibaba Cloud Computing); Jing Geng (Alibaba Cloud Computing); Jiong Xie (Alibaba Cloud Computing); Ninglong Weng (Alibaba Cloud Computing); Yiming Zhang (Shanghai Jiao Tong University & Xiamen University)