Accepted Demo Papers for SIGMOD
- Demonstrating MAST: An Efficient System for Point Cloud Data Analytics
Jiangneng Li (Nanyang Technological University); Haitao Yuan (Nanyang Technological University); Jie Wang (Nanyang Technological University); Ziting Wang (Nanyang Technological University); Han Mao Kiah (Nanyang Technological University); Gao Cong (Nanyang Technological University);
- Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data
Longbin Lai (Alibaba Group); Changwei Luo (Alibaba Group); Yunkai Lou (Alibaba Group); Mingchen Ju (University of New South Wales); Zhengyi Yang (University of New South Wales);
- A Fast Line Density Visualization Plugin for Geographic Information Systems
Tsz Nam Chan (Shenzhen University); Bojian Zhu (Hong Kong Baptist University); Dingming Wu (Shenzhen University); Yun Peng (Guangzhou University); Leong Hou U (University of Macau); Wei Tu (Shenzhen University); Ruisheng Wang (Shenzhen University);
- Automated Database Tuning vs. Human-based Tuning in a Simulated Stressful Work Environment
Patrick Wang (Carnegie Mellon University); Wan Shen Lim (Carnegie Mellon University); William Zhang (Carnegie Mellon University); Samuel Arch (Carnegie Mellon University); Andrew Pavlo (Carnegie Mellon University);
- VQLens: A Demonstration of Vector Query Execution Analysis
Jia yansha (Southern University of Science and Technology); Zhengxin You (Department of Computer Science and Engineering, Southern University of Science and Technology); Yujie Wang (Department of Computer Science and Engineering, Southern University of Science and Technology); Qiaomu Shen (Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology); Bo Tang (Department of Computer Science and Engineering, Southern University of Science and Technology);
- ChARLES: Change-Aware Recovery of Latent Evolution Semantics in Relational Data
Shiyi He (University of Utah); Alexandra Meliou (University of Massachusetts Amherst); Anna Fariha (University of Utah);
- Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines
Saeed Fathollahzadeh (Concordia University); Essam Mansour (Concordia University); Matthias Boehm (TU Berlin);
- D-Bot: An LLM-Powered DBA Copilot
Zhaoyan Sun (Tsinghua University); Xuanhe Zhou (Shanghai Jiao Tong University); Jianming Wu (Tsinghua University); Wei Zhou (Huawei Company); Guoliang Li (Tsinghua University);
- Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized, Constraint-aware, and Realistic SQL
Jiale Lao (Cornell University); Immanuel Trummer (Cornell University);
- KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
Zhiyu Liang (Harbin Institute of Technology); Dongrui Cai (Harbin Institute of Technology); Chenyuan Zhang (Harbin Institute of Technology); Zheng Liang (Harbin Institute of Technology); Chen Liang (Harbin Institute of Technology); Bo Zheng (CnosDB Inc.); Shi Qiu (Central South University); Jin Wang (Central South University); Hongzhi Wang (Harbin Institute of Technology);
- DANTE: Hybrid AI System for Context-Aware Interpretable Feature Engineering
Mohamed BOUADI (Université Paris Cité, LIPADE, SAP Labs Paris); Arta Alavi (SAP France); Salima Benbernou (Université Paris Cité, LIPADE); Mourad Ouziri (Université Paris Cite, LIPADE);
- TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms
Yu Lei (Zhejiang University); Xinle Jiang (Southern University of Science and Technology); Hua Lu (Roskilde University); Christian Jensen (Aalborg University); Bo Tang (Southern University of Science and Technology); Huan Li (Zhejiang University);
- PY-SHARQ: A Holistic Python Library for Explaining Association Rules on Relational Data
Hadar Ben-Efraim (Bar-Ilan University); Susan Davidson (University of Pennsylvania); Amit Somech (Bar-Ilan University);
- RTS+: Reliable Text to SQL
kaiwen chen (university of Toronto); Yueting Chen (Seattle University); Nick Koudas (university of Toronto); Xiaohui Yu (York University);
- SwellDB: Dynamic Query-Driven Table Generation with Large Language Models
Victor Giannakouris (Cornell University); Immanuel Trummer (Cornell University);
- Virtualizing Cloud Data Infrastructures with BRAD
Geoffrey Yu (Massachusetts Institute of Technology); Ziniu Wu (Massachusetts Institute of Technology); Ferdi Kossmann (Massachusetts Institute of Technology); Tianyu Li (Massachusetts Institute of Technology); Markos Markakis (Massachusetts Institute of Technology); Amadou Ngom (Massachusetts Institute of Technology); Sophie Zhang (Massachusetts Institute of Technology); Tim Kraska (Massachusetts Institute of Technology); Samuel Madden (Massachusetts Institute of Technology);
- MiniClean: A Single-Machine System for Cleaning Big Graphs
Wenchao Bai (Southeast University); Wenfei Fan (University of Edinburgh); Jiahui Jin (Southeast University); Daji Li (Shenzhen Institute of Computing Sciences); Jian Li (Shenzhen Institute of Computing Sciences); Shuhao Liu (Shenzhen Institute of Computing Sciences); Mingliang Ouyang (Shenzhen Institute of Computing Sciences); Qiang Yuan (Shenzhen Institute of Computing Sciences);
- SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search
Zixin Wei (The Chinese University of Hong Kong, Shenzhen); Jun Han (The Hong Kong University of Science and Technology); Xiaolin Han (The Northwestern Polytechnical University); Chenhao Ma (The Chinese University of Hong Kong, Shenzhen);
- Database as Runtime: Compiling LLMs to SQL for In-database Model Serving
Wenbo Sun (Delft University of Technology); Ziyu Li (Delft University of Technology); Riahn Hai (Delft University of Technology);
- CauSumX: Summarized Causal Explanations For Group-By-Average Queries
Nativ Levy (Technion); Michael Cafarella (CSAIL); Amir Gilad (Hebrew University); Sudeepa Roy (Duke); Brit Youngmann (Technion);
- Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need
Haixin Wang (Hong Kong Baptist University); Cheng Xu (Hong Kong Baptist University); Ce Zhang (Hong Kong Baptist University); Haibo Hu (Hong Kong Polytechnic University); Shikun Tian (Digital Technologies, Ant Group); Shenglong Chen (Digital Technologies, Ant Group); Ying Yan (Digital Technologies, Ant Group); Jianliang Xu (Hong Kong Baptist University);
- anagodb: Offering Massive Parallelism for Database Engine
Yuto Hayamizu (The University of Tokyo); Ryoji Kawamichi (The University of Tokyo); Tsuyoshi Ozawa (The University of Tokyo); Masaru Kitsuregawa (The University of Tokyo / Research Organization of Information and Systems); Kazuo Goda (The University of Tokyo);
- Demonstration of DPClustX: Differentially Private Explanations for Clusters
Ron Zadicario (Tel Aviv University); Amir Gilad (Hebrew University); Kathy Razmadze (Tel Aviv University); Tova Milo (Tel Aviv University);
- NebulaStream: An extensible, high-performance streaming engine for multi-modal edge applications
Steffen Zeuch (TU Berlin); Adrian Michalke (TU Berlin); Aljoscha Lepping (TU Berlin); Volker Markl (TU Berlin); Ricardo Martinez (TU Berlin); Nils Schubert (TU Berlin); Lukas Schwerdtfeger (TU Berlin); Taha Tekdogan (TU Berlin); Ariane Ziehn (TU Berlin); Christoph Falkensteiner (DHZC); Kyle Krüger (TU Berlin); Tobias Röschl (DHZC); Alexander Meyer (DHZC); Svea Wilkending (DHZC);
- Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations
Shaikh Quader (York University ); Ghadeer Abuoda (York University); Yonis Abokar (York University); Marin Litoiu (York University); Manos Papagelis (York University);
- Prompt Editor: A Taxonomy-driven System for Guided LLM Prompt Development in Enterprise Settings
Jeffery Cao (Celonis Inc.); Lampros Flokas (Celonis Inc.); Yujian Xu (Celonis Inc.); Eugene Wu (Columbia University); Xu Chu (Celonis Inc.); Cong Yu (Celonis Inc.);
- DataDazzle: Intelligent Data Exploration through Natural Language
Mike Xydas (Athena R.C.); Anna Mitsopoulou (Athena Research Cetner); George Katsogiannis-Meimarakis (Athena Research Center); Chris Tsapelas (Athena Research Center); Stavroula Eleftherakis (Athena Research Cetner); Αntonis Μandamadiotis (Athena Research Center); Georgia Koutrika (Athena Research Center);
- Mosaic: An Architecture for Linking Databases and Scalable Interactive Visualizations
Jeffrey Heer (University of Washington); Dominik Moritz (Carnegie Mellon University); Ron Pechunk (University of Washington);
- Alpha Demo: A Hardware-Accelerated Data Model for Ad-Hoc Manipulation of Point Clouds
Sophie Pfister (University of Fribourg); Alberto Lerner (University of Fribourg); Abishek Ramdas (University of Fribourg); Philippe Cudré-Mauroux (University of Fribourg);
- ScaleLLM: A technique for scalable LLM-augmented data systems
Paul Loh (University of Pennsylvania); Ashwin Alaparthi (University of Pennsylvania); Ryan Marcus (University of Pennsylvania);
- Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data
Kaiyuan Hu (UCSD); Jiongli Zhu (UCSD); Boris Glavic (University of Illinois Chicago); Babak Salimi (UCSD);
- PalimpChat: Declarative and Interactive AI analytics
Chunwei Liu (MIT); Gerardo Vitagliano (MIT CSAIL); Brandon Rose (Jataware); Matt Prinz (Jataware); David Andrew Samson (Jataware); Michael Cafarella (MIT CSAIL);
- Locator: Local Stability for Rankings
Felix Campbell (Ben-Gurion University of the Negev); Yuval Moskovitch (Ben-Gurion University of the Negev);
- UNITQA: A Unified Automated Tabular Question Answering System with Multi-Agent Large Language Models [Indurstry]
Jun-Peng Zhu (East China Normal University & PingCAP); Peng Cai (East China Normal University); Kai Xu (PingCAP); Li Li (PingCAP); Yishen Sun (PingCAP); Shuai Zhou (PingCAP); Haihuang Su (PingCAP); Liu Tang (PingCAP); Qi Liu (PingCAP);
- How DuckDB is USING KEY to Unlock Recursive Query Performance
Björn Bamberg (Universität Tübingen); Denis Hirn (Universität Tübingen); Torsten Grust (Universität Tübingen);
- LLM-Matcher: a Name-Based Schema Matching Tool using Large Language Models
Marcel Parciak (Hasselt University); Brecht Vandevoort (Hasselt University); Frank Neven (Hasselt University); Liesbet M. Peeters (Hasselt University); Stijn Vansummeren (Hasselt University);
- CausaLens: A System for Summarizing Causal DAGs
Noam Chen (Technion); Anna Zeng (MIT); Michael Cafarella (MIT); Batya Kenig (Technion); Markos Markakis (MIT); Oren Mishali (Technion); Brit Youngmann (Technion); Babak Salimi (University of California, San Diego);
- Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
Pratyush Agnihotri (TU Darmstadt); Carsten Binnig (DFKI and TU Darmstadt);
- A Query-Aware Enormous Database Generator For System Performance Evaluation
xuhua huang (East China Normal University); zirui hu (East China Normal University); siyang weng (East China Normal University); rong zhang (East China Normal University); chengcheng yang (East China Normal University); xuan zhou (East China Normal University); weining qian (East China Normal University); chuanhui yang (OceanBase, Ant Group); quanqing xu (OceanBase, Ant Group);
- LingoDB-CT: Understanding LingoDB’s Inner Workings
Michael Jungmair (Technical University of Munich);
- OIE: An Interpretable System for Outlier Explanation and Summarization
Jingzhe Xu (Beijing Institute of Technology ); Yuhao Deng (Beijing Institute of Technology); Chengliang Chai (Beijing Institute of Technology); Zequn Li (Beijing Institute of Technology); Yuping Wang (Beijing Institute of Technology); Lei Cao (University of Arizona);
- CORE+: A COmplex event Recognition Engine in C++
Kyle Bossonney (Oxford University); Nicolás Buzeta (PUC Chile); Vicente Calisto (IMFD); Juan-Eduardo López (PUC Chile); Cristian Riveros (PUC Chile); Stijn Vansummeren (UHasselt);
- Catching up with Disorder: Dynamic Graphs with Out-of-Order Updates
MUHAMMAD KHAN (INRIA); Ioana Manolescu (INRIA); Angelos Christos Anadiotis (Oracle);
- SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage
Florens Rohde (University of Leipzig); Victor Christen (University of Leipzig); Erhard Rahm (University of Leipzig);
- Sentence to Model: Cost-Effective Data Collection LLM Agent
Yael Einy (Tel Aviv University); Guy Dar (Tel Aviv University); Slava Novgorodov (Tel Aviv University); Tova Milo (Tel Aviv University);
- OmniTune: A universal framework for query refinement via LLMs
Amit Somech (Bar-Ilan University); Yuval Moskovitch (Ben Gurion University); Eldar Hacohen (Bar-Ilan University);
- Qymera: Simulating Quantum Circuits using RDBMS
Tim Littau (TU Delft); Rihan Hai (TU Delft);
- Finding What You're Looking For: A Distribution-Aware Dataset Search Engine in Action
Lennart Behme (Technische Universität Berlin); Leonard Geißler (Technische Universität Berlin); Pratham Agrawal (IIT Delhi); Emil Badura (Technische Universität Berlin); Benjamin Ueber (Technische Universität Berlin); Kaustubh Beedkar (IIT Delhi); Volker Markl (Technische Universität Berlin);
- Mobility Stream Processing on NebulaStream and MEOS
Mariana Duarte (Universite libre de Bruxelles); Dwi P.A. Nugroho (Technische Universität Berlin; Bifold); Georges Tod (SNCB-NMBS Engineering); Evert Bevernage (SNCB-NMBS Engineering); Pieter Moelans (SNCB-NMBS Engineering); Emine Tas (SNCB-NMBS Engineering); Esteban Zimányi (Universite libre de Bruxelles); Mahmoud Sakr (Universite libre de Bruxelles); Steffen Zeuch (Technische Universität Berlin; Bifold); Volker Markl (Technische Universität Berlin; Bifold);
- Demonstrating CEDAR: A System for Cost-Efficient Data-Driven Claim Verification
Tharushi Jayasekara (Cornell University); Immanuel Trummer (Cornell University);
- SeerCuts: Explainable Attribute Discretization
Eugenie Lai (Massachusetts Institute of Technology ); Inbal Croitoru (Technion); Noam Bitton (Technion); Ariel Shalem (Technion); Brit Youngmann (Technion); Sainyam Galhotra (Cornell); El Kindi Rezig (University of Utah); Michael Cafarella (Massachusetts Institute of Technology);
- RelationalPatternVis: A Tool for Query Pattern Visualization
Diandre Sabale (Northeastern University); Wolfgang Gatterbauer (Northeastern University);
- Grafixer: Enabling User-Centric Repairs for Property Graphs
Amedeo Pachera (Lyon 1 University); Angela Bonifati (Lyon 1 University); Andrea Mauri (Lyon 1 University);
- Apache Wayang in Action: Enabling Data Systems Integration via a Unified Data Analytics Framework
Kaustubh Beedkar (IIT Dehli); Aurelien Bertrand (ITU Copenhagen); Haralampos Gavriilidis (TU Berlin); Augusto Fonseca (LNCC); Zoi Kaoudi (IT University of Copenhagen); Mingxi Liu (East China Normal University); Volker Markl (TU Berlin); Juri Petersen (IT University of Copenhagen); Fabio Porto (LNCC); Victor Ribeiro (LNCC); Mads Sejer Pedersen (IT University of Copenhagen); Lucas Tavares (LNCC); Michalis Vargiamis (Scalytics); Chen Xu (East China Normal University);
- TD-Join: Leveraging Temporal Dependencies in Time Series Joins
Gianluca Rossi (Lyon 1 University); Riccardo Tommasini (INSA Lyon); Angela Bonifati (Lyon 1 University);
- UDFBench: A Tool for Benchmarking UDF Queries on SQL Engines
Yannis Foufoulas (Athena Research Center); Theoni Palaiologou (University of Athens); Alkis Simitsis (Athena Research Center);
- LpBound in Action: Cardinality Estimation with One-Sided Guarantees
Haozhe Zhang (University of Zurich); Christoph Mayer (University of Zurich); Mahmoud Abo Khamis (RelationalAI); Dan Olteanu (University of Zurich); Dan Suciu (University of Washington);
- Introducing RAW Hollow: An In-Memory Co-located, Compressed Object Store With Opt-in Strong Consistency [Industry]
Govind Venkatraman Krishnan (Netflix Inc); Eduardo Ramirez (Netflix Inc); Drew Koszewnik (Netflix Inc); Yujia (Cynthia) Xie (Netflix Inc); Tej Vepa (Netflix Inc); Bernardo Gomez Palacio (Netflix Inc);
- PASCAL: A Theory-Informed Visual Interface for Property Graph Schema Visualization
Kasidis Chanthatrojwong (Nanyang Technological University); Sourav S Bhowmick (Nanyang Technological University); Byron Choi (Hong Kong Baptist University);
- ACE-in-Action: A Smart DBMS Bufferpool for SSDs
Tarikul Islam Papon (Boston University); Teona Bagashvili (Boston University); Manos Athanassoulis (Boston University);
- Real Time Sentinel – An LLM Based PII detector
Bhushan Khaladkar (Striim Inc.);
- Blink twice - automatic workload pinning and regression detection for Versionless Apache Spark using retries. [Industry]
Martin Grund (Databricks); Stefania Leone (Databricks); Justin Breese (Databricks); Reynold Xin (Databricks); Matei Zaharia (Databricks); Vijayan Prabhakaran (Databricks);
- Interactive Fairness Auditing: Leveraging AVOIR for Dynamic Evaluation and Mitigation
Amin Meghrazi (The Ohio State University); Pranav Maneriker (The Ohio State University); Swati Padhee (The Ohio State University); Srinivasan Parthasarathy (The Ohio State University);
- ShapX Engine: A Demonstration of Shapley Value Approximations
SUCHIT GUPTE (Ohio State University); John Paparrizos (The Ohio State University);
- Doctopus: A System for Budget-aware Structural Data Extraction from Unstructured Documents
Yuanhao Zhong (Beijing Institude of Technology); Yuhao Deng (Beijing Institude of Technology); Chengliang Chai (Beijing Institude of Technology); Ruixin Gu (Beijing University of Technology); Ye Yuan (Beijing Institude of Technology); Guoren Wang (Beijing Institude of Technology); Lei Cao (University of Arizona);
- Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models
Pengyi Wang (Renmin University of China); Sibei Chen (Renmin University of China); Ju Fan (Renmin University of China); Bin Wu (Alibaba Cloud Computing); Nan Tang (HKUST (GZ) / HKUST); Jian Tan (Alibaba Cloud Computing);
- Demo of Kishu: Time-Traveling for Computational Notebooks
Zhaoheng Li (University of Illinois at Urbana-Champaign); Supawit Chockchowwat ( University of Illinois at Urbana-Champaign); Hanxi Fang (University of Illinois at Urbana-Champaign); Yongjoo Park ( University of Illinois at Urbana-Champaign);
- NeutronRAG: Towards Understanding the Effectiveness of RAG from a Data Retrieval Perspective
Peizheng Li (Northeastern University); Chaoyi Chen (Northeastern University); Hao Yuan (Northeastern University); Zhenbo Fu (Northeastern University); Hang Shen (Northeastern University); Xinbo Yang (Northeastern University); Qiange Wang (National University of Singapore); Xin Ai (Northeastern University); Yanfeng Zhang (Northeastern University); Yingyou Wen (Neusoft AI Magic Technology Research); Ge Yu (Northeastern University);
- CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets
Arman Ashkari (University of Utah); El Kindi Rezig (University of Utah);
