| 853 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015940507 |
| 2,840 |
Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs |
2020 |
VLDB |
8.0349523e-05 |
| 3,779 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
6.7747205e-05 |
| 3,922 |
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters |
2020 |
VLDB |
6.6291079e-05 |
| 4,593 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.0606891e-05 |
| 4,688 |
Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing |
2020 |
VLDB |
5.9980609e-05 |
| 5,671 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3803919e-05 |
| 5,832 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3111109e-05 |
| 6,192 |
SQLite: Past, Present, and Future |
2022 |
VLDB |
5.1641743e-05 |
| 6,276 |
Scaling-Up In-Memory Datalog Processing: Observations and Techniques |
2019 |
VLDB |
5.1314426e-05 |
| 7,011 |
Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis |
2023 |
VLDB |
4.8629458e-05 |
| 7,546 |
Is Perfect Hashing Practical for OLAP Systems? |
2024 |
CIDR |
4.7148429e-05 |
| 8,096 |
Micro-architectural Analysis of OLAP: Limitations and Opportunities |
2020 |
VLDB |
4.5860565e-05 |
| 8,417 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
4.5194164e-05 |
| 8,432 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
4.5153924e-05 |
| 8,578 |
Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems |
2022 |
VLDB |
4.4923477e-05 |
| 8,626 |
Adaptive Code Generation for Data-Intensive Analytics |
2021 |
VLDB |
4.4829152e-05 |
| 8,781 |
Accelerate Distributed Joins with Predicate Transfer |
2025 |
SIGMOD |
4.4534753e-05 |
| 8,883 |
Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines |
2022 |
SIGMOD |
4.4285471e-05 |
| 8,956 |
T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees |
2025 |
SIGMOD |
4.4214154e-05 |
| 9,672 |
AvantGraph Query Processing Engine |
2022 |
VLDB |
4.3062725e-05 |
| 9,906 |
Rethinking the Encoding of Integers for Scans on Skewed Data |
2023 |
SIGMOD |
4.2578595e-05 |
| 10,190 |
P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,284 |
FlowLog: Efficient and Extensible Datalog via Incrementality |
2026 |
VLDB |
4.1945683e-05 |
| 10,404 |
Dynamic Pruning for Recursive Joins |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,491 |
Intra-Query Runtime Elasticity for Cloud-Native Data Analysis |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,950 |
PLAQUE: Automated Predicate Learning at Query Time |
2024 |
SIGMOD |
4.1945683e-05 |
| 10,989 |
High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,130 |
The Vadalog Parallel System: Distributed Reasoning with Datalog+/- |
2024 |
VLDB |
4.1945683e-05 |
| 11,415 |
Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications |
2022 |
VLDB |
4.1945683e-05 |