| 15 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
330 |
0.00061067652 |
| 85 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
184 |
0.00035876108 |
| 215 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
133 |
0.00024589307 |
| 605 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
60 |
0.00015640305 |
| 688 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
54 |
0.00014749318 |
| 889 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
58 |
0.00013243846 |
| 904 |
HOT: A Height Optimized Trie Index for Main-Memory Database Systems |
2018 |
SIGMOD |
38 |
0.00013170142 |
| 1,283 |
Managing Non-Volatile Memory in Database Systems |
2018 |
SIGMOD |
35 |
0.00011205832 |
| 1,316 |
Building a Bw-Tree Takes More Than Just Buzz Words |
2018 |
SIGMOD |
47 |
0.00011046804 |
| 2,213 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
22 |
8.817248e-05 |
| 2,317 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
31 |
8.6492924e-05 |
| 2,875 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
38 |
7.916817e-05 |
| 2,921 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
29 |
7.8503064e-05 |
| 3,181 |
A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language |
2024 |
CIDR |
11 |
7.5603717e-05 |
| 3,272 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
17 |
7.4711788e-05 |
| 3,311 |
Cloud Analytics Benchmark |
2023 |
VLDB |
24 |
7.4364696e-05 |
| 3,427 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
20 |
7.3048595e-05 |
| 3,827 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
23 |
6.9972263e-05 |
| 3,900 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
16 |
6.9320915e-05 |
| 3,917 |
JSON Tiles: Fast Analytics on Semi-Structured Data |
2021 |
SIGMOD |
13 |
6.925328e-05 |
| 4,036 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
20 |
6.8360867e-05 |
| 4,094 |
Virtual-Memory Assisted Buffer Management |
2023 |
SIGMOD |
20 |
6.8094958e-05 |
| 4,302 |
Efficient and Portable Einstein Summation in SQL |
2023 |
SIGMOD |
8 |
6.6754218e-05 |
| 4,389 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
13 |
6.6202227e-05 |
| 4,738 |
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines |
2020 |
SIGMOD |
24 |
6.4417968e-05 |
| 5,161 |
Are You Sure You Want to Use MMAP in Your Database Management System? |
2022 |
CIDR |
12 |
6.2452792e-05 |
| 5,221 |
LeanStore: A High-Performance Storage Engine for NVMe SSDs |
2024 |
VLDB |
12 |
6.2207378e-05 |
| 6,274 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
9 |
5.8256214e-05 |
| 6,532 |
Contention and Space Management in B-Trees |
2021 |
CIDR |
9 |
5.7522354e-05 |
| 6,711 |
Machine Learning, Linear Algebra, and More: Is SQL All You Need? |
2022 |
CIDR |
7 |
5.7011955e-05 |
| 7,223 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
8 |
5.5801574e-05 |
| 7,446 |
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines |
2023 |
VLDB |
9 |
5.5227651e-05 |
| 7,871 |
Building Advanced SQL Analytics From Low-Level Plan Operators |
2021 |
SIGMOD |
9 |
5.434014e-05 |
| 7,905 |
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware |
2023 |
VLDB |
6 |
5.4277185e-05 |
| 7,963 |
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware |
2024 |
VLDB |
8 |
5.414974e-05 |
| 8,500 |
Tree-Encoded Bitmaps |
2020 |
SIGMOD |
4 |
5.3286931e-05 |
| 8,579 |
Practical DB-OS Co-Design with Privileged Kernel Bypass |
2025 |
SIGMOD |
6 |
5.3102486e-05 |
| 8,830 |
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions |
2022 |
SIGMOD |
2 |
5.2666535e-05 |
| 9,559 |
B-Trees Are Back: Engineering Fast and Pageable Node Layouts |
2025 |
SIGMOD |
3 |
5.1577035e-05 |
| 9,644 |
Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications |
2017 |
VLDB |
2 |
5.1439387e-05 |
| 9,913 |
High-Performance DBMSs with io_uring: When and How to Use It |
2026 |
VLDB |
3 |
5.1079647e-05 |
| 9,954 |
OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck |
2025 |
CIDR |
3 |
5.1014161e-05 |
| 10,107 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
1 |
5.0765311e-05 |
| 10,232 |
Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability |
2026 |
VLDB |
2 |
5.0547568e-05 |
| 10,256 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
4 |
5.0495724e-05 |
| 10,359 |
Cloudspecs: Cloud Hardware Evolution Through the Looking Glass |
2026 |
CIDR |
2 |
4.9769913e-05 |
| 10,680 |
Predictive Translation: High-Performance Buffer Management Without the Trade-Offs |
2026 |
SIGMOD |
0 |
4.9769913e-05 |
| 10,735 |
How to Write to SSDs |
2026 |
VLDB |
1 |
4.9769913e-05 |
| 10,843 |
BtrLog: Low-Latency Logging for Cloud Database Systems |
2026 |
VLDB |
0 |
4.9769913e-05 |
| 10,875 |
Tux: Efficient Drop-in Networking for Database Systems |
2026 |
VLDB |
1 |
4.9769913e-05 |
| 11,199 |
Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs |
2025 |
SIGMOD |
5 |
4.9769913e-05 |
| 11,367 |
SSD-iq: Uncovering the Hidden Side of SSD Performance |
2025 |
VLDB |
2 |
4.9769913e-05 |
| 11,439 |
CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics |
2025 |
VLDB |
0 |
4.9769913e-05 |
| 11,548 |
High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance |
2024 |
SIGMOD |
6 |
4.9769913e-05 |
| 13,666 |
Beyond Incrementalism: How to Change the World Through Data Systems Research |
2025 |
VLDB |
0 |
- |
| 13,750 |
White-Box OLAP Performance Modeling for the Cloud |
2021 |
CIDR |
0 |
- |