| 18 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059284255 |
| 84 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00035838391 |
| 241 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023654664 |
| 649 |
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask |
2018 |
VLDB |
0.00015320656 |
| 694 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00014911698 |
| 880 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013432693 |
| 882 |
HOT: A Height Optimized Trie Index for Main-Memory Database Systems |
2018 |
SIGMOD |
0.0001342403 |
| 1,258 |
Managing Non-Volatile Memory in Database Systems |
2018 |
SIGMOD |
0.00011438197 |
| 1,390 |
Building a Bw-Tree Takes More Than Just Buzz Words |
2018 |
SIGMOD |
0.00010942775 |
| 2,344 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.7199754e-05 |
| 2,788 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
8.1205155e-05 |
| 2,828 |
Exploiting Directly-Attached NVMe Arrays in DBMS |
2020 |
CIDR |
8.0803679e-05 |
| 3,001 |
What Modern NVMe Storage Can Do, And How To Exploit It: High-Performance I/O for High-Performance Storage Engines |
2023 |
VLDB |
7.8673493e-05 |
| 3,213 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
7.6328677e-05 |
| 3,673 |
Efficient Processing of Window Functions in Analytical SQL Queries |
2015 |
VLDB |
7.2113383e-05 |
| 3,761 |
ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA |
2022 |
SIGMOD |
7.1450129e-05 |
| 3,838 |
Cloud Analytics Benchmark |
2023 |
VLDB |
7.0823175e-05 |
| 4,018 |
Virtual-Memory Assisted Buffer Management |
2023 |
SIGMOD |
6.952278e-05 |
| 4,069 |
JSON Tiles: Fast Analytics on Semi-Structured Data |
2021 |
SIGMOD |
6.9276175e-05 |
| 4,103 |
Exploiting Cloud Object Storage for High-Performance Analytics |
2023 |
VLDB |
6.8993506e-05 |
| 4,253 |
Efficient and Portable Einstein Summation in SQL |
2023 |
SIGMOD |
6.8029311e-05 |
| 4,317 |
Design Guidelines for Correct, Efficient, and Scalable Synchronization using One-Sided RDMA |
2023 |
SIGMOD |
6.7646416e-05 |
| 4,763 |
Rethinking Logging, Checkpoints, and Recovery for High-Performance Storage Engines |
2020 |
SIGMOD |
6.519206e-05 |
| 4,796 |
A Critique of Modern SQL And A Proposal Towards A Simple and Expressive Query Language |
2024 |
CIDR |
6.5031952e-05 |
| 5,744 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
6.1019672e-05 |
| 5,989 |
Are You Sure You Want to Use MMAP in Your Database Management System? |
2022 |
CIDR |
6.0175059e-05 |
| 6,174 |
Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures |
2023 |
CIDR |
5.9510389e-05 |
| 6,396 |
Contention and Space Management in B-Trees |
2021 |
CIDR |
5.8870425e-05 |
| 6,498 |
LeanStore: A High-Performance Storage Engine for NVMe SSDs |
2024 |
VLDB |
5.861854e-05 |
| 6,604 |
Machine Learning, Linear Algebra, and More: Is SQL All You Need? |
2022 |
CIDR |
5.8240599e-05 |
| 7,072 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
5.7107965e-05 |
| 7,754 |
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware |
2023 |
VLDB |
5.5519754e-05 |
| 7,774 |
Building Advanced SQL Analytics From Low-Level Plan Operators |
2021 |
SIGMOD |
5.5468469e-05 |
| 7,802 |
Cloud-Native Database Systems and Unikernels: Reimagining OS Abstractions for Modern Hardware |
2024 |
VLDB |
5.5418836e-05 |
| 7,988 |
Scalable and Robust Snapshot Isolation for High-Performance Storage Engines |
2023 |
VLDB |
5.5113542e-05 |
| 8,349 |
Tree-Encoded Bitmaps |
2020 |
SIGMOD |
5.4460774e-05 |
| 8,685 |
Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions |
2022 |
SIGMOD |
5.3849617e-05 |
| 9,345 |
Practical DB-OS Co-Design with Privileged Kernel Bypass |
2025 |
SIGMOD |
5.284891e-05 |
| 9,462 |
Monopedia: Staying Single is Good Enough - The HyPer Way for Web Scale Applications |
2017 |
VLDB |
5.2635302e-05 |
| 9,810 |
B-Trees Are Back: Engineering Fast and Pageable Node Layouts |
2025 |
SIGMOD |
5.214913e-05 |
| 9,920 |
Still Asking: How Good Are Query Optimizers, Really? |
2025 |
VLDB |
5.1955087e-05 |
| 10,057 |
AnyBlox: A Framework for Self-Decoding Datasets |
2025 |
VLDB |
5.1664022e-05 |
| 10,123 |
Cloudspecs: Cloud Hardware Evolution Through the Looking Glass |
2026 |
CIDR |
5.093636e-05 |
| 10,482 |
Predictive Translation: High-Performance Buffer Management Without the Trade-Offs |
2026 |
SIGMOD |
5.093636e-05 |
| 10,536 |
Active Data Lakes: Regaining Physical Data Independence Without Losing Interoperability |
2026 |
VLDB |
5.093636e-05 |
| 10,543 |
How to Write to SSDs |
2026 |
VLDB |
5.093636e-05 |
| 10,581 |
Tux: Efficient Drop-in Networking for Database Systems |
2026 |
VLDB |
5.093636e-05 |
| 10,631 |
OLTP Through the Looking Glass 16 Years Later: Communication is the New Bottleneck |
2025 |
CIDR |
5.093636e-05 |
| 10,770 |
Moving on From Group Commit: Autonomous Commit Enables High Throughput and Low Latency on NVMe SSDs |
2025 |
SIGMOD |
5.093636e-05 |
| 10,974 |
SSD-iq: Uncovering the Hidden Side of SSD Performance |
2025 |
VLDB |
5.093636e-05 |