| 4,101 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.9009734e-05 |
| 4,217 |
The Case for a Wide-Table Approach to Manage Sparse Relational Data Sets |
2007 |
SIGMOD |
6.8269451e-05 |
| 4,468 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
6.6819041e-05 |
| 4,489 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
6.6675192e-05 |
| 4,550 |
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications |
2009 |
VLDB |
6.635765e-05 |
| 4,637 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
6.592197e-05 |
| 4,826 |
Design Tradeoffs of Data Access Methods |
2016 |
SIGMOD |
6.4904836e-05 |
| 5,039 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
6.3909067e-05 |
| 5,091 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
6.3669569e-05 |
| 5,176 |
Predicting Cost Amortization for Query Services |
2011 |
SIGMOD |
6.3326746e-05 |
| 5,307 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
6.2728074e-05 |
| 5,359 |
QUIET: Continuous Query-driven Index Tuning |
2003 |
VLDB |
6.2492097e-05 |
| 5,558 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.1749098e-05 |
| 5,573 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
6.1682747e-05 |
| 5,755 |
Compression Aware Physical Database Design |
2011 |
VLDB |
6.0974171e-05 |
| 5,766 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
6.094771e-05 |
| 5,767 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
6.0945741e-05 |
| 5,869 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
6.0610922e-05 |
| 5,974 |
Towards instance-optimized data systems |
2021 |
VLDB |
6.0230488e-05 |
| 5,978 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
6.0212877e-05 |
| 6,042 |
Pando: Enhanced Data Skipping with Logical Data Partitioning |
2023 |
VLDB |
5.9970052e-05 |
| 6,045 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.9957544e-05 |
| 6,327 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
5.9124005e-05 |
| 6,434 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
5.8799421e-05 |
| 6,462 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
5.8717744e-05 |
| 6,600 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.8250114e-05 |
| 6,651 |
Progressive Indexes: Indexing for Interactive Data Analysis |
2019 |
VLDB |
5.8141997e-05 |
| 6,670 |
Replicated Layout for In-Memory Database Systems |
2022 |
VLDB |
5.8074043e-05 |
| 6,753 |
Optimal Indexing Using Near-Minimal Space [Extended Abstract] |
2003 |
PODS |
5.7836523e-05 |
| 6,939 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
5.7338637e-05 |
| 7,076 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
5.7098893e-05 |
| 7,750 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
5.5523652e-05 |
| 7,917 |
ESDB: Processing Extremely Skewed Workloads in Real-time |
2022 |
SIGMOD |
5.5181056e-05 |
| 8,076 |
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors |
2024 |
VLDB |
5.4927414e-05 |
| 8,452 |
A Storage Advisor for Hybrid-Store Databases |
2012 |
VLDB |
5.4230061e-05 |
| 8,583 |
Query Log Compression for Workload Analytics |
2019 |
VLDB |
5.4079618e-05 |
| 8,591 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
5.4059856e-05 |
| 8,601 |
Goals and Benchmarks for Autonomic Configuration Recommenders |
2005 |
SIGMOD |
5.4048965e-05 |
| 8,703 |
Divergent Physical Design Tuning for Replicated Databases |
2012 |
SIGMOD |
5.3813751e-05 |
| 8,927 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
5.3483178e-05 |
| 8,982 |
Automatic Index Selection for Large-Scale Datalog Computation |
2019 |
VLDB |
5.3397715e-05 |
| 8,984 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
5.3395569e-05 |
| 9,490 |
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack |
2024 |
SIGMOD |
5.2629522e-05 |
| 9,598 |
Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market |
2014 |
SIGMOD |
5.2494989e-05 |
| 9,615 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
5.2436464e-05 |
| 9,775 |
Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems |
2025 |
VLDB |
5.2209769e-05 |
| 9,966 |
Generating Application-Specific Data Layouts for In-memory Databases |
2019 |
VLDB |
5.1870939e-05 |
| 10,082 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
5.1587525e-05 |
| 10,327 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
5.093636e-05 |
| 10,413 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
5.093636e-05 |