| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 140 |
Predicate Migration: Optimizing Queries with Expensive Predicates |
1993 |
SIGMOD |
0.00042289025 |
| 339 |
OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases |
2014 |
VLDB |
0.00026895683 |
| 418 |
Query Optimization in the Presence of Foreign Functions |
1993 |
VLDB |
0.0002372277 |
| 699 |
Query Execution Techniques for Caching Expensive Methods |
1996 |
SIGMOD |
0.0001794078 |
| 848 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015933538 |
| 933 |
Flexible Database Generators |
2005 |
VLDB |
0.00015220613 |
| 1,107 |
Froid: Optimization of Imperative Programs in a Relational Database |
2018 |
VLDB |
0.0001397627 |
| 1,884 |
Tuplex: Data Science in Python at Native Code Speed |
2021 |
SIGMOD |
0.00010206514 |
| 2,242 |
Procedural Extensions of SQL: Understanding their usage in the wild |
2021 |
VLDB |
9.2124242e-05 |
| 2,421 |
Tupleware: "Big" Data, Big Analytics, Small Clusters |
2015 |
CIDR |
8.8471956e-05 |
| 2,867 |
Optimization of Queries with User-defined Predicates |
1996 |
VLDB |
7.9931252e-05 |
| 2,904 |
Evaluating End-to-End Optimization for Data Analytics Applications in Weld |
2018 |
VLDB |
7.9403097e-05 |
| 2,914 |
Quantifying TPC-H Choke Points and Their Optimizations |
2020 |
VLDB |
7.9197583e-05 |
| 3,085 |
Compiling PL/SQL Away |
2020 |
CIDR |
7.5960713e-05 |
| 3,920 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6246708e-05 |
| 4,813 |
Putting Pandas in a Box |
2021 |
CIDR |
5.8993009e-05 |
| 4,930 |
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases |
2022 |
VLDB |
5.8171482e-05 |
| 5,734 |
Evolution of a Compiling Query Engine |
2021 |
VLDB |
5.3471832e-05 |
| 5,741 |
Babelfish: Efficient Execution of Polyglot Queries |
2022 |
VLDB |
5.3450701e-05 |
| 6,191 |
Accelerating Python UDFs in Vectorized Query Execution |
2022 |
CIDR |
5.1598046e-05 |
| 6,374 |
Dear User-Defined Functions, Inlining isn't working out so great for us. Let's try batching to make our relationship work. Sincerely, SQL |
2024 |
CIDR |
5.0874998e-05 |
| 6,646 |
Functional-Style SQL UDFs With a Capital 'F' |
2020 |
SIGMOD |
4.9734285e-05 |
| 6,683 |
Adaptive and Robust Query Execution for Lakehouses at Scale |
2024 |
VLDB |
4.9593505e-05 |
| 6,703 |
YeSQL: “You extend SQL” with Rich and Highly Performant User-Defined Functions in Relational Databases |
2022 |
VLDB |
4.9514593e-05 |
| 6,863 |
Declarative Sub-Operators for Universal Data Processing |
2023 |
VLDB |
4.9003859e-05 |
| 7,334 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
4.7538944e-05 |
| 8,477 |
Excalibur: A Virtual Machine for Adaptive Fine-grained JIT-Compiled Query Execution based on VOILA |
2023 |
VLDB |
4.4971772e-05 |
| 8,580 |
Efficient Execution of User-Defined Functions in SQL Queries |
2023 |
VLDB |
4.4876382e-05 |
| 8,625 |
Predicate Pushdown for Data Science Pipelines |
2023 |
SIGMOD |
4.4784651e-05 |
| 9,348 |
The Key to Effective UDF Optimization: Before Inlining, First Perform Outlining |
2025 |
VLDB |
4.3504473e-05 |
| 9,882 |
Towards Resource-adaptive Query Execution in Cloud Native Databases |
2024 |
CIDR |
4.2594931e-05 |
| 9,883 |
SQL Engines Excel at the Execution of Imperative Programs |
2024 |
VLDB |
4.2594931e-05 |
| 13,413 |
BabbleFlow - A Translator for Analytic Data Flow Programs |
2014 |
SIGMOD |
- |