ACM SIGMOD Seattle, USA, 2023
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SIGMOD 2023: Accepted Industrial Papers

  • Presto: A Decade of SQL Analytics at Meta
    James Sun (Meta Platform, Inc)*
  • Keep Your Distributed Data Warehouse Consistent at a Minimal Cost
    Zhichen Xu (Google Inc)*; Ying Gao (Google); Andrew A Davidson (Alphabet)
  • GeaFlow: A Graph Extended and Accelerated Dataflow System
    ZHENXUAN PAN (Ant Group); Tao Wu (AntGroup); Qingwen Zhao (Antgroup); Qiang Zhou (Ant Group); peng zhiwei (Ant Group); Jiefeng Li (AntGroup); Zhang Qi (Ant Group); Guanyu Feng (Ant Group); Xiaowei Zhu (Ant Group)*
  • Disaggregating RocksDB: A Production Experience
    Siying Dong (Meta)*; Shiva Shankar Padmaraju (Meta Inc); Satadru Pan (Meta); Anand Ananthabhotla (Facebook); Dhanabal Ekambaram (Meta); Abhinav Sharma (Meta); Shobhit Dayal (Meta); Nishant Parikh (Meta); Yanqin Jin (Meta); Albert Kim (Facebook); Sushil S Patil (Meta); Jay Zhuang (Meta); Samuel J Dunster (Meta); Akanksha Mahajan (Meta); Anirudh Chelluri (Meta); Chaitanya Datye (Meta); Lucas Vasconcelos Santana (Meta); Nitin Garg (Meta); Omkar Gawde (Meta)
  • GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning
    Hanyu Zhao (Peking University)*; Zhi Yang (Peking University); Yu Cheng (Peking University); Chao Tian (Peking University); Shiru Ren (Alibaba Group); Wencong Xiao (Alibaba Group); Man Yuan (Alibaba Group); Langshi Chen (Alibaba Group); Kaibo Liu (Peking University); Yang Zhang (Alibaba Group); Yong Li (Alibaba Group); Wei Lin (Alibaba Group)
  • VeDB: A Software and Hardware Enabled Trusted Relational Database
    Xinying Yang (ByteDance)*; Ruide Zhang (ByteDance); Cong Yue (National University of Singapore); Yang Liu (ByteDance); Beng Chin Ooi (NUS); Qun Gao (ByteDance); Zhang Yuan (Bytedance); Hao Yang (Bytedance.com)
  • Apache IoTDB: A Time Series Database for IoT Applications
    Chen Wang (" Tsinghua University, China"); Jialin Qiao (Timecho Ltd); Xiangdong Huang (Timecho Limited); Shaoxu Song (Tsinghua University)*; Haonan Hou (Timecho Ltd); Tian Jiang (Tsinghua University); Lei Rui (Tsinghua University); Jianmin Wang ("Tsinghua University, China"); Jiaguang Sun (Tsinghua University)
  • What’s the difference? Incremental processing with change queries in Snowflake
    Tyler Akidau (Snowflake Inc)*; Paul Barbier (Snowflake); Istvan Cseri (Snowflake); Fabian Hueske (Snowflake Computing Inc.); Tyler Jones (Snowflake); Sasha Lionheart (Snowflake); Daniel P S Mills (Snowflake); Dzmitry Pauliukevich (Snowflake); Lukas Probst (Snowflake); Niklas Semmler (Snowflake); Dan Sotolongo (Snowflake Inc.); Boyuan Zhang (Snowflake)
  • High-Throughput Vector Similarity Search in Knowledge Graphs
    Jason M Mohoney (University of Wisconsin-Madison)*; Anil Pacaci (Apple); Shihabur R Chowdhury (Apple); Ali Mousavi (Apple); Ihab F Ilyas (U. of Waterloo and Apple); Umar Farooq Minhas (Apple); Jeffrey Pound (Apple); Theodoros Rekatsinas (Apple)
  • PG-Schema: Schemas for Property Graphs
    Renzo Angles (Universidad de Talca); Angela Bonifati (Univ. of Lyon); Stefania Dumbrava (ENSIIE); George Fletcher (Eindhoven University of Technology the Netherlands); Alastair Green (Mr); Jan Hidders (Birkbeck, University of London)*; Bei Li (Google); Leonid Libkin (University of Edinburgh & RelationalAI); Victor Marsault (UPEM / CNRS); Wim Martens (University of Bayreuth); Filip Murlak (University of Warsaw, Poland); Stefan Plantikow (Neo4j); Ognjen Savkovic (Free University of Bozen-Bolzano); Michael Schmidt (Amazon Web Services); Juan Sequeda (data.world); Sławek Staworko (RelationalAI); Dominik Tomaszuk (University of Bialystok); Hannes Voigt (Neo4j); Domagoj Vrgoc (Pontificia Universidad Catolica de Chile); Mingxi Wu (Tigergraph inc); Dušan Živković (Integral Data Solutions)
  • PolarDB-IMCI:A Cloud-Native HTAP Database System at Alibaba
    Jianying Wang (Alibaba Inc.)*; Tongliang Li (Alibaba Group); Haoze Song (The University of Hong Kong ); xinjun Yang (Alibaba Group); Wenchao Zhou (Alibaba Group); Feifei Li (Alibaba Group); Baoyue Yan (Alibaba); Qianqian Wu (Alibaba); Yukun Liang (Alibaba Group); Ying ChengJun (ZheJiang University); Yujie Wang (Alibaba Group); Chen Baokai (Alibaba Group); Chang Cai (alibaba); Yubin Ruan (Alibaba Group); Xiaoyi Weng (alibaba); Shibin Chen (Alibaba Group Inc.); Liang Yin (Alibaba Group); Chengzhong Yang (Alibaba); Xin Cai (Alibaba ); hongyan xing (alibaba); Nanlong Yu (Alibaba); xiaofei chen (alibaba); dapeng huang (alibaba); Jianling Sun (Zhejiang University)
  • Vineyard: Optimizing Data Sharing in Data-Intensive Analytics
    Wenyuan Yu (Alibaba Group)*; Tao He (Alibaba Group); Lei Wang (Alibaba Group); Ke Meng (Alibaba Group); Cao Ye (alibaba); Diwen Zhu (Alibaba); Sanhong Li (Alibaba Group); Jingren Zhou (Alibaba Group)
  • Steered Training Data Generation for Learned Semantic Type Detection
    Sven Langenecker (DHBW Mosbach)*; Christoph Sturm (DHBW Mosbach); Christian Schalles (DHBW Mosbach); Carsten Binnig (TU Darmstadt)
  • When Automatic Filtering Comes to the Rescue: Pre-Computing Company Competitor Pairs in Owler
    Jinsong Guo (University of Oxford)*; Aditya Jami (Meltwater); Markus Kröll (Meltwater); Lukas Schweizer (Meltwater); Sergey Paramono (Meltwater); Eric Aichinger (Meltwater); Stefano Sferrazza (Meltwater); Mattia Scaccia (Meltwater); Stéphane Reissfelder (Meltwater); Eda Cicek (TU Wien); Giovanni Grasso (University of Calabria); Georg Gottlob (Oxford University)
  • DataChat: An Intuitive and Collaborative Data Analytics Platform
    Jignesh Patel (UW - Madison)*
  • Towards Building Autonomous Data Services on Azure
    Yuanyuan Tian (Microsoft Gray Systems Lab)*; Yiwen Zhu (Microsoft); Joyce Cahoon (Microsoft); Subru Krishnan (Microsoft); Ankita Agarwal (Microsoft); Rana Alotaibi (Microsoft Gray Systems Lab); Jesús Camacho-Rodríguez (Microsoft); Bibin Chundatt (Microsoft); Andrew Chung (Microsoft); Niharika Dutta (Microsoft); Andrew Fogarty (Microsoft); Anja Gruenheid (Microsoft); Brandon Haynes (Microsoft Gray Systems Lab); Matteo Interlandi (Microsoft); Minu Iyer (Microsoft); Nick Jurgens (Microsoft); Sumeet Khushalani (Microsoft); Brian Kroth (Microsoft); Manoj Kumar (Microsoft); Jyoti Leeka (Microsoft); Sergiy Matusevych (Microsoft); Minni Mittal (Microsoft); Kartheek Muthyala (Microsoft); Harsha Nagulapalli (Microsoft); Yoonjae Park (Microsoft); Hiren Patel (Microsoft); Anna Pavlenko (Microsoft); Olga Poppe (Microsoft); Santhosh Ravindran (Microsoft); Karla Saur (Microsoft); Rathijit Sen (Microsoft); Steve Suh (Microsoft); Arijit Tarafdar (Microsoft); Kunal Waghray (Microsoft); Demin Wang (Microsoft); Carlo Curino (Microsoft); Raghu Ramakrishnan (Microsoft)
  • Auto-WLM: ML-enhanced workload management in Amazon Redshift
    Gaurav Saxena (AWS); Mohammad Rahman (AWS); Naresh Chainani (AWS); Chunbin Lin (VISA); George Caragea (Lacework); Fahim Chowdhury (AWS); Ryan Marcus (UPenn / AWS); Tim Kraska (MIT / AWS)*; Ippokratis Pandis (AWS); Balakrishnan (Murali) Narayanaswamy (AWS)
  • Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning
    Barzan Mozafari (University of Michigan)*
  • Growing and Serving Large Open-domain Knowledge Graphs
    Ihab F. Ilyas (Apple), JP Lacerda (Apple), Yunyao Li (Apple), Umar Farooq Minhas (Apple), Ali Mousavi (Apple), Jeffrey Pound (Apple)*, Theodoros Rekatsinas (Apple), Chiraag Sumanth (Apple)

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