| 2025 | TEQ: An Open and Developer-friendly Testbed for Edge-based Query Processing Algorithms. | Yu Lei, Xinle Jiang, Hua Lu, Christian S. Jensen, Bo Tang, Huan Li |
| 2025 | LpBound in Action: Cardinality Estimation with One-Sided Guarantees. | Christoph Mayer, Haozhe Zhang, Mahmoud Abo Khamis, Dan Olteanu, Dan Suciu |
| 2025 | Learned Indexes From the One-dimensional to the Multi-dimensional Spaces: Challenges, Techniques, and Opportunities. | Abdullah Al-Mamun, Jianguo Wang, Walid G. Aref |
| 2025 | Reproducibility Report for ACM SIGMOD 2025 Paper: 'LpBound: Pessimistic Cardinality Estimation Using ? | Rico Bergmann, Suyang Zhong, Haozhe Zhang, Christoph Mayer |
| 2025 | Reproducibility Report for ACM SIGMOD 2025 Paper: 'Memento Filter: A Fast, Dynamic, and Robust Range Filter'. | Mo Sha, Steven Purtzel |
| 2025 | Reproducible Prototyping of Query Optimizer Components. | Rico Bergmann, Dirk Habich |
| 2025 | Where Does Academic Database Research Go From Here? | Eugene Wu, Raul Castro Fernandez |
| 2025 | Reproducibility Report for ACM SIGMOD 2025 Paper: 'Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities'. | Thomas Bodner, Donghyun Sohn, Qian Xu |
| 2025 | Authenticating Multi-Chain Queries: Verifiable Virtual Filesystem Is All You Need. | Haixin Wang, Cheng Xu, Ce Zhang, Haibo Hu, Shikun Tian, Shenglong Chen, Ying Yan, Jianliang Xu |
| 2024 | Learned Query Optimizer: What is New and What is Next. | Rong Zhu, Lianggui Weng, Bolin Ding, Jingren Zhou |
| 2024 | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Query Refinement for Diverse Top- | Yuxuan Zhu, Maximilian Httner, Kyle Deeds |
| 2024 | NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. | Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang |
| 2024 | IMBridge: Impedance Mismatch Mitigation between Database Engine and Prediction Query Execution. | Chenyang Zhang, Junxiong Peng, Chen Xu, Quanqing Xu, Chuanhui Yang |
| 2024 | FinSQL: Model-Agnostic LLMs-based Text-to-SQL Framework for Financial Analysis. | Chao Zhang, Yuren Mao, Yijiang Fan, Yu Mi, Yunjun Gao, Lu Chen, Dongfang Lou, Jinshu Lin |
| 2024 | BG3: A Cost Effective and I/O Efficient Graph Database in Bytedance. | Wei Zhang, Cheng Chen, Qiange Wang, Wei Wang, Shijiao Yang, Bingyu Zhou, Huiming Zhu, Chao Chen, Yongjun Zhao, Yingqian Hu, Miaomiao Cheng, Meng Li, Hongfei Tan, Mengjin Liu, Hexiang Lin, Shuai Zhang, Lei Zhang |
| 2024 | ESTELLE: An Efficient and Cost-effective Cloud Log Engine. | Yupu Zhang, Guanglin Cong, Jihan Qu, Ran Xu, Yuan Fu, Weiqi Li, Feiran Hu, Jing Liu, Wenliang Zhang, Kai Zheng |
| 2024 | COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. | Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li |
| 2024 | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Proximity Queries on Point Clouds using Rapid Construction Path Oracle'. | Yinzhao Yan, Raymond Chi-Wing Wong, Guozhang Sun |
| 2024 | Reproducibility Report for ACM SIGMOD 2024 Paper: 'Proving Query Equivalence Using Linear Integer Arithmetic'. | Yinzhao Yan, Yicong Huang, Yingli Zhou, Haoran Ding |
| 2024 | PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory. | Xinjun Yang, Yingqiang Zhang, Hao Chen, Feifei Li, Bo Wang, Jing Fang, Chuan Sun, Yuhui Wang |
| 2024 | Bouncer: Admission Control with Response Time Objectives for Low-latency Online Data Systems. | Hao Xu, Juan A. Colmenares |
| 2024 | Stage: Query Execution Time Prediction in Amazon Redshift. | Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska |
| 2024 | MillenniumDB: A Multi-modal, Multi-model Graph Database. | Domagoj Vrgoc, Carlos Rojas, Renzo Angles, Marcelo Arenas, Vicente Calisto, Benjamn Farias, Sebastin Ferrada, Tristan Heuer, Aidan Hogan, Gonzalo Navarro, Alexander Pinto, Juan L. Reutter, Henry Rosales-Mndez, Etienne Toussaint |
| 2024 | Reproducibility Report for ACM SIGMOD 2024 Paper: 'On The Reasonable Effectiveness of Relational Diagrams'. | Giorgio Vinciguerra, Guang Yang, Wolfgang Gatterbauer, Cody Dunne |
| 2024 | Reproducibility Report for ACM SIGMOD 2024 Paper: 'DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance'. | Giorgio Vinciguerra, Chuqing Gao, Shufan Zhang, Xi He |