| 876 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015660534 |
| 1,728 |
BigBench: Towards an Industry Standard Benchmark for Big Data Analytics |
2013 |
SIGMOD |
0.00010731422 |
| 2,022 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.7623022e-05 |
| 2,494 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
8.6457436e-05 |
| 2,914 |
Quantifying TPC-H Choke Points and Their Optimizations |
2020 |
VLDB |
7.9197583e-05 |
| 3,150 |
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database |
2016 |
VLDB |
7.4765759e-05 |
| 3,167 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
7.4561078e-05 |
| 3,269 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
7.3026051e-05 |
| 3,280 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
7.2813732e-05 |
| 3,757 |
White-box Compression: Learning and Exploiting Compact Table Representations |
2020 |
CIDR |
6.7804933e-05 |
| 3,800 |
Why You Should Run TPC-DS: A Workload Analysis |
2007 |
VLDB |
6.7529849e-05 |
| 3,819 |
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction |
2022 |
VLDB |
6.7267885e-05 |
| 4,257 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
6.3050642e-05 |
| 4,503 |
Of Snowstorms and Bushy Trees |
2014 |
VLDB |
6.131076e-05 |
| 4,608 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.046643e-05 |
| 5,105 |
Analyzing and Comparing Lakehouse Storage Systems |
2023 |
CIDR |
5.6916018e-05 |
| 5,343 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
5.5582234e-05 |
| 5,571 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
5.4279553e-05 |
| 5,615 |
TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems |
2023 |
VLDB |
5.409e-05 |
| 5,799 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.3219666e-05 |
| 5,882 |
Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code |
2024 |
VLDB |
5.2871604e-05 |
| 5,925 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2669029e-05 |
| 6,328 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
5.1034426e-05 |
| 6,507 |
Expand your Training Limits! Generating Training Data for ML-based Data Management |
2021 |
SIGMOD |
5.0273414e-05 |
| 6,655 |
Fast and Effective Distribution-Key Recommendation for Amazon Redshift |
2020 |
VLDB |
4.9693109e-05 |
| 6,863 |
Declarative Sub-Operators for Universal Data Processing |
2023 |
VLDB |
4.9003859e-05 |
| 7,398 |
SmartBench: A Benchmark For Data Management In Smart Spaces |
2020 |
VLDB |
4.7364678e-05 |
| 7,414 |
Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g |
2008 |
SIGMOD |
4.7312542e-05 |
| 7,461 |
Scalable Multi-Query Execution using Reinforcement Learning |
2021 |
SIGMOD |
4.7193668e-05 |
| 8,090 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5853298e-05 |
| 8,198 |
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors |
2024 |
VLDB |
4.556207e-05 |
| 8,357 |
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools |
2023 |
SIGMOD |
4.5325029e-05 |
| 8,423 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
4.5112315e-05 |
| 8,440 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
4.505741e-05 |
| 8,596 |
LST-Bench: Benchmarking Log-Structured Tables in the Cloud |
2024 |
SIGMOD |
4.4839589e-05 |
| 8,607 |
Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond |
2025 |
SIGMOD |
4.4810982e-05 |
| 8,676 |
A Practical Approach to Groupjoin and Nested Aggregates |
2021 |
VLDB |
4.4652082e-05 |
| 8,698 |
Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization |
2022 |
CIDR |
4.4604438e-05 |
| 8,896 |
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation |
2026 |
VLDB |
4.4229886e-05 |
| 9,078 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
4.3959645e-05 |
| 9,236 |
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes |
2025 |
SIGMOD |
4.3648789e-05 |
| 9,325 |
Powering In-Database Dynamic Model Slicing for Structured Data Analytics |
2024 |
VLDB |
4.351469e-05 |
| 9,581 |
Low Rank Learning for Offline Query Optimization |
2025 |
SIGMOD |
4.3186744e-05 |
| 9,848 |
Saving Money for Analytical Workloads in the Cloud |
2024 |
VLDB |
4.2680295e-05 |
| 9,850 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
4.2680295e-05 |
| 9,980 |
Survivorship Bias in Industrial Database Workloads |
2026 |
CIDR |
4.1905499e-05 |
| 9,992 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
4.1905499e-05 |
| 9,994 |
Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors |
2026 |
CIDR |
4.1905499e-05 |
| 10,012 |
A Fast, Mergeable, and LDP Compatible Sketch for Counting the Number of Distinct Values in Fully Dynamic Tables |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,032 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
4.1905499e-05 |