| 15 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00061066921 |
| 85 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00035864347 |
| 215 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00024598661 |
| 605 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015647561 |
| 688 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00014753664 |
| 891 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013245926 |
| 907 |
HOT: A Height Optimized Trie Index for Main-Memory Database Systems |
2018 |
SIGMOD |
0.00013158824 |
| 1,282 |
Managing Non-Volatile Memory in Database Systems |
2018 |
SIGMOD |
0.00011210073 |
| 1,320 |
Building a Bw-Tree Takes More Than Just Buzz Words |
2018 |
SIGMOD |
0.00011045319 |
| 2,213 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.8206114e-05 |
| 2,314 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
8.6533171e-05 |
| 2,877 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
7.9181223e-05 |
| 2,920 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
7.8540089e-05 |
| 3,180 |
A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language |
2024 |
CIDR |
7.5639428e-05 |
| 3,271 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
7.4744941e-05 |
| 3,316 |
Cloud Analytics Benchmark |
2023 |
VLDB |
7.4373161e-05 |
| 3,427 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
7.3082914e-05 |
| 3,826 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
6.9984204e-05 |
| 3,916 |
JSON Tiles: Fast Analytics on Semi-Structured Data |
2021 |
SIGMOD |
6.9285787e-05 |
| 4,034 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
6.8393244e-05 |
| 4,094 |
Virtual-Memory Assisted Buffer Management |
2023 |
SIGMOD |
6.8103269e-05 |
| 4,132 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
6.7885553e-05 |
| 4,300 |
Efficient and Portable Einstein Summation in SQL |
2023 |
SIGMOD |
6.6785834e-05 |
| 4,387 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
6.6233353e-05 |
| 4,848 |
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines |
2020 |
SIGMOD |
6.3818116e-05 |
| 5,160 |
Are You Sure You Want to Use MMAP in Your Database Management System? |
2022 |
CIDR |
6.2482143e-05 |
| 5,360 |
LeanStore: A High-Performance Storage Engine for NVMe SSDs |
2024 |
VLDB |
6.1614422e-05 |
| 6,270 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
5.8283805e-05 |
| 6,530 |
Contention and Space Management in B-Trees |
2021 |
CIDR |
5.7549598e-05 |
| 6,707 |
Machine Learning, Linear Algebra, and More: Is SQL All You Need? |
2022 |
CIDR |
5.7038956e-05 |
| 7,221 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
5.5828002e-05 |
| 7,735 |
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines |
2023 |
VLDB |
5.4631389e-05 |
| 7,866 |
Building Advanced SQL Analytics From Low-Level Plan Operators |
2021 |
SIGMOD |
5.4365876e-05 |
| 7,901 |
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware |
2023 |
VLDB |
5.4302737e-05 |
| 7,959 |
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware |
2024 |
VLDB |
5.4175386e-05 |
| 8,500 |
Tree-Encoded Bitmaps |
2020 |
SIGMOD |
5.3296886e-05 |
| 8,571 |
Practical DB-OS Co-Design with Privileged Kernel Bypass |
2025 |
SIGMOD |
5.3127636e-05 |
| 8,821 |
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions |
2022 |
SIGMOD |
5.2691478e-05 |
| 9,636 |
Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications |
2017 |
VLDB |
5.1463735e-05 |
| 9,906 |
High-Performance DBMSs with io_uring: When and How to Use It |
2026 |
VLDB |
5.1103839e-05 |
| 9,946 |
OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck |
2025 |
CIDR |
5.1038322e-05 |
| 9,998 |
B-Trees Are Back: Engineering Fast and Pageable Node Layouts |
2025 |
SIGMOD |
5.0979044e-05 |
| 10,103 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
5.0789354e-05 |
| 10,226 |
Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability |
2026 |
VLDB |
5.0571508e-05 |
| 10,250 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
5.051964e-05 |
| 10,347 |
Cloudspecs: Cloud Hardware Evolution Through the Looking Glass |
2026 |
CIDR |
4.9793485e-05 |
| 10,669 |
Predictive Translation: High-Performance Buffer Management Without the Trade-Offs |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,725 |
How to Write to SSDs |
2026 |
VLDB |
4.9793485e-05 |
| 10,833 |
BtrLog: Low-Latency Logging for Cloud Database Systems |
2026 |
VLDB |
4.9793485e-05 |
| 10,866 |
Tux: Efficient Drop-in Networking for Database Systems |
2026 |
VLDB |
4.9793485e-05 |