| 848 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015933538 |
| 2,829 |
Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs |
2020 |
VLDB |
8.0542308e-05 |
| 3,777 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
6.7713324e-05 |
| 3,923 |
Pushing Data-Induced Predicates Through Joins in Big-Data Clusters |
2020 |
VLDB |
6.6232068e-05 |
| 4,592 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
6.056004e-05 |
| 4,666 |
Alibaba Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing |
2020 |
VLDB |
6.005349e-05 |
| 5,682 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3752251e-05 |
| 5,844 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3060581e-05 |
| 6,193 |
SQLite: Past, Present, and Future |
2022 |
VLDB |
5.1593011e-05 |
| 6,276 |
Scaling-Up In-Memory Datalog Processing: Observations and Techniques |
2019 |
VLDB |
5.1265189e-05 |
| 7,011 |
Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis |
2023 |
VLDB |
4.8583284e-05 |
| 7,544 |
Is Perfect Hashing Practical for OLAP Systems? |
2024 |
CIDR |
4.710321e-05 |
| 8,101 |
Micro-architectural Analysis of OLAP: Limitations and Opportunities |
2020 |
VLDB |
4.581825e-05 |
| 8,411 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
4.5151296e-05 |
| 8,423 |
SPRINTER: A Fast n-ary Join Query Processing Method for Complex OLAP Queries |
2020 |
SIGMOD |
4.5112315e-05 |
| 8,575 |
Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems |
2022 |
VLDB |
4.4880409e-05 |
| 8,623 |
Adaptive Code Generation for Data-Intensive Analytics |
2021 |
VLDB |
4.4786182e-05 |
| 8,777 |
Accelerate Distributed Joins with Predicate Transfer |
2025 |
SIGMOD |
4.4492064e-05 |
| 8,884 |
Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines |
2022 |
SIGMOD |
4.4243024e-05 |
| 8,961 |
T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees |
2025 |
SIGMOD |
4.4171776e-05 |
| 9,672 |
AvantGraph Query Processing Engine |
2022 |
VLDB |
4.3021461e-05 |
| 9,905 |
Rethinking the Encoding of Integers for Scans on Skewed Data |
2023 |
SIGMOD |
4.2537799e-05 |
| 10,190 |
P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,296 |
FlowLog: Efficient and Extensible Datalog via Incrementality |
2026 |
VLDB |
4.1905499e-05 |
| 10,415 |
Dynamic Pruning for Recursive Joins |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,501 |
Intra-Query Runtime Elasticity for Cloud-Native Data Analysis |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,953 |
PLAQUE: Automated Predicate Learning at Query Time |
2024 |
SIGMOD |
4.1905499e-05 |
| 10,992 |
High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,133 |
The Vadalog Parallel System: Distributed Reasoning with Datalog+/- |
2024 |
VLDB |
4.1905499e-05 |
| 11,418 |
Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications |
2022 |
VLDB |
4.1905499e-05 |