| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 203 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034868567 |
| 417 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023734582 |
| 848 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015933538 |
| 1,085 |
HOT: A Height Optimized Trie Index for Main-Memory Database Systems |
2018 |
SIGMOD |
0.00014173956 |
| 1,104 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.0001398479 |
| 1,169 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013530267 |
| 1,649 |
Managing Non-Volatile Memory in Database Systems |
2018 |
SIGMOD |
0.00011006201 |
| 2,313 |
Building a Bw-Tree Takes More Than Just Buzz Words |
2018 |
SIGMOD |
9.0546844e-05 |
| 2,553 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.5522099e-05 |
| 3,642 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8876984e-05 |
| 3,682 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
6.8429686e-05 |
| 3,724 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
6.8121422e-05 |
| 3,725 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
6.8117015e-05 |
| 4,257 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
6.3050642e-05 |
| 4,523 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
6.1102901e-05 |
| 4,548 |
Efficient and Portable Einstein Summation in SQL |
2023 |
SIGMOD |
6.089487e-05 |
| 4,579 |
Virtual-Memory Assisted Buffer Management |
2023 |
SIGMOD |
6.0651118e-05 |
| 4,681 |
Cloud Analytics Benchmark |
2023 |
VLDB |
5.9953512e-05 |
| 4,702 |
JSON Tiles: Fast Analytics on Semi-Structured Data |
2021 |
SIGMOD |
5.9796907e-05 |
| 4,873 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
5.8557568e-05 |
| 5,015 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
5.7517038e-05 |
| 5,311 |
A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language |
2024 |
CIDR |
5.5712968e-05 |
| 5,362 |
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines |
2020 |
SIGMOD |
5.5474601e-05 |
| 6,166 |
Are You Sure You Want to Use MMAP in Your Database Management System? |
2022 |
CIDR |
5.1730118e-05 |
| 6,454 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
5.0510162e-05 |
| 6,838 |
LeanStore: A High-Performance Storage Engine for NVMe SSDs |
2024 |
VLDB |
4.906223e-05 |
| 6,989 |
Machine Learning, Linear Algebra, and More: Is SQL All You Need? |
2022 |
CIDR |
4.8658293e-05 |
| 7,866 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
4.6282779e-05 |
| 7,887 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
4.6218382e-05 |
| 7,888 |
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware |
2023 |
VLDB |
4.6214637e-05 |
| 7,929 |
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware |
2024 |
VLDB |
4.6091978e-05 |
| 8,032 |
Contention and Space Management in B-Trees |
2021 |
CIDR |
4.5983032e-05 |
| 8,053 |
Building Advanced SQL Analytics From Low-Level Plan Operators |
2021 |
SIGMOD |
4.5925468e-05 |
| 8,165 |
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines |
2023 |
VLDB |
4.5680112e-05 |
| 8,424 |
Tree-Encoded Bitmaps |
2020 |
SIGMOD |
4.5111681e-05 |
| 8,697 |
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions |
2022 |
SIGMOD |
4.4607582e-05 |
| 9,189 |
Practical DB-OS Co-Design with Privileged Kernel Bypass |
2025 |
SIGMOD |
4.3750062e-05 |
| 9,319 |
Monopedia: Staying Single is Good Enough – The HyPer Way for Web Scale Applications |
2017 |
VLDB |
4.3522504e-05 |
| 9,746 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
4.2856385e-05 |
| 9,900 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
4.2539423e-05 |
| 9,974 |
Cloudspecs: Cloud Hardware Evolution Through the Looking Glass |
2026 |
CIDR |
4.1905499e-05 |
| 10,193 |
Predictive Translation: High-Performance Buffer Management Without the Trade-Offs |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,248 |
Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability |
2026 |
VLDB |
4.1905499e-05 |
| 10,255 |
How to Write to SSDs |
2026 |
VLDB |
4.1905499e-05 |
| 10,294 |
Tux: Efficient Drop-in Networking for Database Systems |
2026 |
VLDB |
4.1905499e-05 |
| 10,345 |
OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck |
2025 |
CIDR |
4.1905499e-05 |
| 10,380 |
B-Trees Are Back: Engineering Fast and Pageable Node Layouts |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,503 |
Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,741 |
SSD-iq: Uncovering the Hidden Side of SSD Performance |
2025 |
VLDB |
4.1905499e-05 |