| 329 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027301488 |
| 460 |
Graphs-at-a-time: Query Language and Access Methods for Graph Databases |
2008 |
SIGMOD |
0.00022679846 |
| 786 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
0.00016624743 |
| 1,056 |
Cosette: An Automated Prover for SQL |
2017 |
CIDR |
0.00014391317 |
| 1,291 |
SMCQL: Secure Querying for Federated Databases |
2017 |
VLDB |
0.00012771034 |
| 1,301 |
Simba: Efficient In-Memory Spatial Analytics |
2016 |
SIGMOD |
0.00012702767 |
| 1,564 |
Keyword Search in Databases: The Power of RDBMS |
2009 |
SIGMOD |
0.00011340407 |
| 1,691 |
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-Size Estimation |
1999 |
VLDB |
0.00010890775 |
| 1,756 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010659753 |
| 1,839 |
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing |
2025 |
VLDB |
0.00010351287 |
| 1,856 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010319105 |
| 2,158 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4117885e-05 |
| 2,298 |
Joins via Geometric Resolutions: Worst-case and Beyond |
2015 |
PODS |
9.0746479e-05 |
| 2,528 |
Pregelix: Big(ger) Graph Analytics on A Dataflow Engine |
2015 |
VLDB |
8.5953347e-05 |
| 3,144 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
7.4844943e-05 |
| 3,402 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.134261e-05 |
| 3,703 |
How to Win a Hot Dog Eating Contest: Distributed Incremental View Maintenance with Batch Updates |
2016 |
SIGMOD |
6.8249334e-05 |
| 4,160 |
Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? |
2017 |
SIGMOD |
6.3886736e-05 |
| 4,227 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
6.3381409e-05 |
| 4,406 |
Declarative Recursive Computation on an RDBMS |
2019 |
VLDB |
6.2044305e-05 |
| 4,686 |
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures |
2023 |
VLDB |
5.9929067e-05 |
| 5,528 |
Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts |
2022 |
SIGMOD |
5.4571136e-05 |
| 5,543 |
Lightweight Cardinality Estimation in LSM-based Systems |
2018 |
SIGMOD |
5.4486922e-05 |
| 5,639 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
5.3972261e-05 |
| 5,737 |
Enabling Incremental Query Re-Optimization |
2016 |
SIGMOD |
5.3459609e-05 |
| 5,742 |
Efficient Computation of Multiple Group By Queries |
2005 |
SIGMOD |
5.3432178e-05 |
| 5,752 |
Size and Treewidth Bounds for Conjunctive Queries |
2009 |
PODS |
5.3393414e-05 |
| 5,882 |
Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code |
2024 |
VLDB |
5.2871604e-05 |
| 5,886 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
5.2847297e-05 |
| 5,931 |
FASTgres: Making Learned Query Optimizer Hinting Effective |
2023 |
VLDB |
5.2632167e-05 |
| 6,328 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
5.1034426e-05 |
| 6,341 |
Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics |
2016 |
SIGMOD |
5.0980049e-05 |
| 6,493 |
Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs |
2020 |
SIGMOD |
5.0344095e-05 |
| 6,801 |
Query Optimization over Crowdsourced Data |
2013 |
VLDB |
4.9175463e-05 |
| 7,291 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
4.7677422e-05 |
| 7,298 |
MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs |
2014 |
VLDB |
4.7651301e-05 |
| 7,347 |
Distributed Outlier Detection using Compressive Sensing |
2015 |
SIGMOD |
4.7502395e-05 |
| 7,693 |
Processing and Optimizing Main Memory Spatial-Keyword Queries |
2016 |
VLDB |
4.6714423e-05 |
| 7,735 |
From a Stream of Relational Queries to Distributed Stream Processing |
2010 |
VLDB |
4.6599101e-05 |
| 8,020 |
User-Optimizer Communication using Abstract Plans in Sybase ASE |
2001 |
VLDB |
4.6005954e-05 |
| 8,130 |
Robust Query Processing: Mission Possible |
2020 |
VLDB |
4.5746794e-05 |
| 8,160 |
List Intersection for Web Search: Algorithms, Cost Models, and Optimizations |
2019 |
VLDB |
4.5697316e-05 |
| 8,162 |
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates |
2020 |
SIGMOD |
4.5686903e-05 |
| 8,339 |
SlabCity: Whole-Query Optimization using Program Synthesis |
2023 |
VLDB |
4.5383933e-05 |
| 8,462 |
Building Statistical Models and Scoring with UDFs |
2007 |
SIGMOD |
4.5007504e-05 |
| 8,479 |
Can Large Language Models Be Query Optimizer for Relational Databases? |
2026 |
SIGMOD |
4.4967983e-05 |
| 8,502 |
New Query Optimization Techniques in the Spark Engine of Azure Synapse |
2022 |
VLDB |
4.491819e-05 |
| 8,695 |
Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries |
2024 |
SIGMOD |
4.461508e-05 |
| 8,714 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
4.457682e-05 |
| 8,997 |
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans |
2021 |
SIGMOD |
4.4090643e-05 |