| 563 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.0001650812 |
| 1,481 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
0.00010644613 |
| 1,693 |
BigBench: Towards an Industry Standard Benchmark for Big Data Analytics |
2013 |
SIGMOD |
9.9965799e-05 |
| 1,799 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.7326398e-05 |
| 2,202 |
Quantifying TPC-H Choke Points and Their Optimizations |
2020 |
VLDB |
8.9639459e-05 |
| 2,355 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
8.7022189e-05 |
| 2,543 |
Learned Cardinality Estimation: An In-depth Study |
2022 |
SIGMOD |
8.4445934e-05 |
| 2,597 |
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database |
2016 |
VLDB |
8.3604418e-05 |
| 2,769 |
A Layered Aggregate Engine for Analytics Workloads |
2019 |
SIGMOD |
8.1465406e-05 |
| 2,844 |
Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction |
2022 |
VLDB |
8.0608767e-05 |
| 3,173 |
Why You Should Run TPC-DS:A Workload Analysis |
2007 |
VLDB |
7.6664516e-05 |
| 3,336 |
White-box Compression: Learning and Exploiting Compact Table Representations |
2020 |
CIDR |
7.5084986e-05 |
| 3,673 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
7.2113383e-05 |
| 4,091 |
Of Snowstorms and Bushy Trees |
2014 |
VLDB |
6.9090244e-05 |
| 4,457 |
Analyzing and Comparing Lakehouse Storage Systems |
2023 |
CIDR |
6.6913393e-05 |
| 4,631 |
Interactive Summarization and Exploration of Top Aggregate Query Answers |
2018 |
VLDB |
6.595034e-05 |
| 4,643 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
6.5907466e-05 |
| 4,789 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.5072039e-05 |
| 5,037 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
6.3914026e-05 |
| 5,040 |
TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems |
2023 |
VLDB |
6.390395e-05 |
| 5,558 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.1749098e-05 |
| 5,767 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
6.0945741e-05 |
| 6,024 |
Expand your Training Limits! Generating Training Data for ML-based Data Management |
2021 |
SIGMOD |
6.0031118e-05 |
| 6,253 |
Declarative Sub-Operators for Universal Data Processing |
2023 |
VLDB |
5.940599e-05 |
| 6,279 |
Fast and Effective Distribution-Key Recommendation for Amazon Redshift |
2020 |
VLDB |
5.9286872e-05 |
| 7,213 |
Scalable Multi-Query Execution using Reinforcement Learning |
2021 |
SIGMOD |
5.670422e-05 |
| 7,369 |
SmartBench: A Benchmark For Data Management In Smart Spaces |
2020 |
VLDB |
5.6314085e-05 |
| 7,377 |
Efficient and Scalable Statistics Gathering for Large Databases in Oracle 11g |
2008 |
SIGMOD |
5.6297042e-05 |
| 7,401 |
Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code |
2024 |
VLDB |
5.6255291e-05 |
| 7,560 |
Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools |
2023 |
SIGMOD |
5.5984517e-05 |
| 7,787 |
A Practical Approach to Groupjoin and Nested Aggregates |
2021 |
VLDB |
5.5449593e-05 |
| 8,000 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
5.5092344e-05 |
| 8,076 |
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors |
2024 |
VLDB |
5.4927414e-05 |
| 8,305 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
5.4568571e-05 |
| 8,374 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
5.4399097e-05 |
| 8,467 |
LST-Bench: Benchmarking Log-Structured Tables in the Cloud |
2024 |
SIGMOD |
5.4187125e-05 |
| 8,605 |
Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond |
2025 |
SIGMOD |
5.4028924e-05 |
| 8,684 |
Workload-driven, Lazy Discovery of Data Dependencies for Query Optimization |
2022 |
CIDR |
5.3849937e-05 |
| 9,047 |
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation |
2026 |
VLDB |
5.3251649e-05 |
| 9,101 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
5.324758e-05 |
| 9,378 |
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes |
2025 |
SIGMOD |
5.2755515e-05 |
| 9,470 |
Powering In-Database Dynamic Model Slicing for Structured Data Analytics |
2024 |
VLDB |
5.2634238e-05 |
| 9,601 |
Low Rank Learning for Offline Query Optimization |
2025 |
SIGMOD |
5.2487799e-05 |
| 10,000 |
Saving Money for Analytical Workloads in the Cloud |
2024 |
VLDB |
5.1814573e-05 |
| 10,002 |
COMPARE: Accelerating Groupwise Comparison in Relational Databases for Data Analytics |
2021 |
VLDB |
5.1814573e-05 |
| 10,128 |
Survivorship Bias in Industrial Database Workloads |
2026 |
CIDR |
5.093636e-05 |
| 10,139 |
Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! |
2026 |
CIDR |
5.093636e-05 |
| 10,141 |
Text-to-SQL Benchmarks are Broken: An In-Depth Analysis of Annotation Errors |
2026 |
CIDR |
5.093636e-05 |
| 10,310 |
A Fast, Mergeable, and LDP Compatible Sketch for Counting the Number of Distinct Values in Fully Dynamic Tables |
2026 |
SIGMOD |
5.093636e-05 |
| 10,327 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
5.093636e-05 |