| 1,169 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013536447 |
| 1,311 |
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging |
2018 |
SIGMOD |
0.00012657439 |
| 1,366 |
SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data |
2017 |
VLDB |
0.00012357685 |
| 1,375 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00012303141 |
| 1,610 |
MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph |
2020 |
VLDB |
0.00011148094 |
| 2,109 |
The Log-Structured Merge-Bush & the Wacky Continuum |
2019 |
SIGMOD |
9.5318694e-05 |
| 2,157 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
9.416022e-05 |
| 2,606 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
8.4645832e-05 |
| 2,798 |
Chucky: A Succinct Cuckoo Filter for LSM-Tree |
2021 |
SIGMOD |
8.1080111e-05 |
| 3,386 |
Lethe: A Tunable Delete-Aware LSM Engine |
2020 |
SIGMOD |
7.1577103e-05 |
| 3,488 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0479329e-05 |
| 3,544 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9898874e-05 |
| 3,793 |
Constructing and Analyzing the LSM Compaction Design Space |
2021 |
VLDB |
6.7617833e-05 |
| 3,965 |
Spooky: Granulating LSM-Tree Compactions Correctly |
2022 |
VLDB |
6.5820028e-05 |
| 4,158 |
Performance-Optimal Filtering: Bloom Overtakes Cuckoo at High Throughput |
2019 |
VLDB |
6.3994318e-05 |
| 4,227 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
6.3434324e-05 |
| 4,427 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
6.1965873e-05 |
| 4,914 |
On Performance Stability in LSM-based Storage Systems |
2020 |
VLDB |
5.8315684e-05 |
| 4,945 |
SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy |
2023 |
SIGMOD |
5.8157107e-05 |
| 4,994 |
Stacked Filters: Learning to Filter by Structure |
2021 |
VLDB |
5.78027e-05 |
| 5,158 |
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes |
2018 |
VLDB |
5.6588553e-05 |
| 5,308 |
Key-Value Storage Engines |
2020 |
SIGMOD |
5.576303e-05 |
| 5,448 |
Enabling Low Tail Latency on Multicore Key-Value Stores |
2020 |
VLDB |
5.501371e-05 |
| 5,490 |
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation |
2023 |
VLDB |
5.4778129e-05 |
| 5,516 |
Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design |
2021 |
SIGMOD |
5.4628856e-05 |
| 5,739 |
InfiniFilter: Expanding Filters to Infinity and Beyond |
2023 |
SIGMOD |
5.3471718e-05 |
| 5,791 |
Dissecting, Designing, and Optimizing LSM-based Data Stores |
2022 |
SIGMOD |
5.3268999e-05 |
| 5,863 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
5.2979639e-05 |
| 5,918 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
5.2737135e-05 |
| 5,953 |
Spatial Independent Range Sampling |
2021 |
SIGMOD |
5.2589924e-05 |
| 6,398 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0819209e-05 |
| 6,456 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0564619e-05 |
| 6,660 |
ArkDB: A Key-Value Engine for Scalable Cloud Storage Services |
2021 |
SIGMOD |
4.9708868e-05 |
| 6,772 |
FineLine: Log-structured Transactional Storage and Recovery |
2018 |
VLDB |
4.9313122e-05 |
| 6,831 |
Prefix Filter: Practically and Theoretically Better Than Bloom |
2022 |
VLDB |
4.9130458e-05 |
| 7,168 |
TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage |
2022 |
SIGMOD |
4.8121704e-05 |
| 7,218 |
Breaking Down Memory Walls in LSM-based Storage Systems |
2020 |
SIGMOD |
4.7982543e-05 |
| 7,343 |
LSM-Trees and B-Trees: The Best of Both Worlds |
2019 |
SIGMOD |
4.7568442e-05 |
| 7,620 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
4.693568e-05 |
| 7,663 |
Optimizing Collections of Bloom Filters within a Space Budget |
2024 |
VLDB |
4.6857816e-05 |
| 7,694 |
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR |
2024 |
SIGMOD |
4.6757592e-05 |
| 7,743 |
Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems |
2019 |
VLDB |
4.6626575e-05 |
| 8,009 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
4.6066863e-05 |
| 8,235 |
SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure |
2024 |
VLDB |
4.5535352e-05 |
| 8,339 |
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice |
2025 |
SIGMOD |
4.5434069e-05 |
| 8,434 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
4.5141748e-05 |
| 8,525 |
Aleph Filter: To Infinity in Constant Time |
2024 |
VLDB |
4.4937074e-05 |
| 8,627 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
4.4829101e-05 |
| 8,720 |
Entropy-Learned Hashing: Constant Time Hashing with Controllable Uniformity |
2022 |
SIGMOD |
4.4609699e-05 |
| 8,788 |
FishStore: Faster Ingestion with Subset Hashing |
2019 |
SIGMOD |
4.451039e-05 |