| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 204 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034784455 |
| 418 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023729211 |
| 853 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015940507 |
| 1,087 |
HOT: A Height Optimized Trie Index for Main-Memory Database Systems |
2018 |
SIGMOD |
0.00014162909 |
| 1,105 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00013990395 |
| 1,169 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013536447 |
| 1,661 |
Managing Non-Volatile Memory in Database Systems |
2018 |
SIGMOD |
0.00010978755 |
| 2,394 |
Building a Bw-Tree Takes More Than Just Buzz Words |
2018 |
SIGMOD |
8.9001843e-05 |
| 2,568 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.5239227e-05 |
| 3,644 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8854928e-05 |
| 3,687 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
6.8417266e-05 |
| 3,725 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
6.8170734e-05 |
| 3,736 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
6.8057888e-05 |
| 4,262 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
6.3117226e-05 |
| 4,544 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
6.1000636e-05 |
| 4,548 |
Efficient and Portable Einstein Summation in SQL |
2023 |
SIGMOD |
6.0953447e-05 |
| 4,583 |
Virtual-Memory Assisted Buffer Management |
2023 |
SIGMOD |
6.0676378e-05 |
| 4,704 |
JSON Tiles: Fast Analytics on Semi-Structured Data |
2021 |
SIGMOD |
5.9853687e-05 |
| 4,717 |
Cloud Analytics Benchmark |
2023 |
VLDB |
5.9751539e-05 |
| 4,870 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
5.8613885e-05 |
| 5,042 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
5.7414429e-05 |
| 5,307 |
A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language |
2024 |
CIDR |
5.5766594e-05 |
| 5,374 |
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines |
2020 |
SIGMOD |
5.5424901e-05 |
| 6,177 |
Are You Sure You Want to Use MMAP in Your Database Management System? |
2022 |
CIDR |
5.1692825e-05 |
| 6,458 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
5.0558683e-05 |
| 6,840 |
LeanStore: A High-Performance Storage Engine for NVMe SSDs |
2024 |
VLDB |
4.9109345e-05 |
| 6,990 |
Machine Learning, Linear Algebra, and More: Is SQL All You Need? |
2022 |
CIDR |
4.8704904e-05 |
| 7,876 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
4.6298182e-05 |
| 7,898 |
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware |
2023 |
VLDB |
4.6230352e-05 |
| 7,927 |
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware |
2024 |
VLDB |
4.6136219e-05 |
| 8,049 |
Contention and Space Management in B-Trees |
2021 |
CIDR |
4.5973972e-05 |
| 8,051 |
Building Advanced SQL Analytics From Low-Level Plan Operators |
2021 |
SIGMOD |
4.5969549e-05 |
| 8,192 |
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines |
2023 |
VLDB |
4.562388e-05 |
| 8,207 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
4.5583637e-05 |
| 8,430 |
Tree-Encoded Bitmaps |
2020 |
SIGMOD |
4.5154973e-05 |
| 8,702 |
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions |
2022 |
SIGMOD |
4.4650384e-05 |
| 9,185 |
Practical DB-OS Co-Design with Privileged Kernel Bypass |
2025 |
SIGMOD |
4.3792034e-05 |
| 9,314 |
Monopedia: Staying Single is Good Enough – The HyPer Way for Web Scale Applications |
2017 |
VLDB |
4.3563488e-05 |
| 9,747 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
4.2897489e-05 |
| 9,901 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
4.258022e-05 |
| 9,975 |
Cloudspecs: Cloud Hardware Evolution Through the Looking Glass |
2026 |
CIDR |
4.1945683e-05 |
| 10,193 |
Predictive Translation: High-Performance Buffer Management Without the Trade-Offs |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,248 |
Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability |
2026 |
VLDB |
4.1945683e-05 |
| 10,255 |
How to Write to SSDs |
2026 |
VLDB |
4.1945683e-05 |
| 10,282 |
Tux: Efficient Drop-in Networking for Database Systems |
2026 |
VLDB |
4.1945683e-05 |
| 10,333 |
OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck |
2025 |
CIDR |
4.1945683e-05 |
| 10,368 |
B-Trees Are Back: Engineering Fast and Pageable Node Layouts |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,493 |
Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,734 |
SSD-iq: Uncovering the Hidden Side of SSD Performance |
2025 |
VLDB |
4.1945683e-05 |