| 560 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00016570735 |
| 1,481 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
0.00010699268 |
| 1,677 |
BigBench: Towards an Industry Standard Benchmark for Big Data Analytics |
2013 |
SIGMOD |
0.00010113873 |
| 1,901 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.6066443e-05 |
| 2,180 |
Quantifying TPC-H Choke Points and Their Optimizations |
2020 |
VLDB |
9.0729457e-05 |
| 2,329 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
8.8228164e-05 |
| 2,533 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
8.5233704e-05 |
| 2,558 |
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database |
2016 |
VLDB |
8.4829467e-05 |
| 2,812 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
8.1484676e-05 |
| 2,929 |
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction |
2022 |
VLDB |
8.0220847e-05 |
| 3,238 |
Why You Should Run TPC-DS: A Workload Analysis |
2007 |
VLDB |
7.6790472e-05 |
| 3,300 |
White-box Compression: Learning and Exploiting Compact Table Representations |
2020 |
CIDR |
7.6087519e-05 |
| 3,636 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
7.310762e-05 |
| 4,093 |
Of Snowstorms and Bushy Trees |
2014 |
VLDB |
6.9705366e-05 |
| 4,387 |
Analyzing and Comparing Lakehouse Storage Systems |
2023 |
CIDR |
6.7926262e-05 |
| 4,558 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.697176e-05 |
| 4,585 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
6.6883557e-05 |
| 4,981 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
6.4851192e-05 |
| 5,161 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.4045304e-05 |
| 5,230 |
TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems |
2023 |
VLDB |
6.3769214e-05 |
| 5,489 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.2678203e-05 |
| 5,696 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
6.1834438e-05 |
| 5,965 |
Expand your Training Limits! Generating Training Data for ML-based Data Management |
2021 |
SIGMOD |
6.0876627e-05 |
| 6,189 |
Fast and Effective Distribution-Key Recommendation for Amazon Redshift |
2020 |
VLDB |
6.0200927e-05 |
| 6,372 |
Declarative Sub-Operators for Universal Data Processing |
2023 |
VLDB |
5.9617617e-05 |
| 6,726 |
Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code |
2024 |
VLDB |
5.8476884e-05 |
| 7,142 |
Scalable Multi-Query Execution using Reinforcement Learning |
2021 |
SIGMOD |
5.7474895e-05 |
| 7,241 |
SmartBench: A Benchmark For Data Management In Smart Spaces |
2020 |
VLDB |
5.7186261e-05 |
| 7,253 |
Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g |
2008 |
SIGMOD |
5.716359e-05 |
| 7,901 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
5.589727e-05 |
| 7,956 |
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors |
2024 |
VLDB |
5.5736751e-05 |
| 8,182 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
5.5385661e-05 |
| 8,251 |
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools |
2023 |
SIGMOD |
5.5235175e-05 |
| 8,270 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
5.5197528e-05 |
| 8,349 |
LST-Bench: Benchmarking Log-Structured Tables in the Cloud |
2024 |
SIGMOD |
5.5026359e-05 |
| 8,491 |
Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond |
2025 |
SIGMOD |
5.4865709e-05 |
| 8,526 |
A Practical Approach to Groupjoin and Nested Aggregates |
2021 |
VLDB |
5.4787362e-05 |
| 8,581 |
Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization |
2022 |
CIDR |
5.4683949e-05 |
| 8,921 |
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation |
2026 |
VLDB |
5.4076395e-05 |
| 8,985 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
5.4021137e-05 |
| 9,246 |
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes |
2025 |
SIGMOD |
5.3572577e-05 |
| 9,330 |
Powering In-Database Dynamic Model Slicing for Structured Data Analytics |
2024 |
VLDB |
5.3449422e-05 |
| 9,526 |
Low Rank Learning for Offline Query Optimization |
2025 |
SIGMOD |
5.3206369e-05 |
| 9,846 |
Saving Money for Analytical Workloads in the Cloud |
2024 |
VLDB |
5.2617062e-05 |
| 9,848 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
5.2617062e-05 |
| 9,980 |
Survivorship Bias in Industrial Database Workloads |
2026 |
CIDR |
5.1725247e-05 |
| 9,992 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
5.1725247e-05 |
| 9,994 |
Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors |
2026 |
CIDR |
5.1725247e-05 |
| 10,012 |
A Fast, Mergeable, and LDP Compatible Sketch for Counting the Number of Distinct Values in Fully Dynamic Tables |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,032 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
5.1725247e-05 |