| 815 |
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging |
2018 |
SIGMOD |
0.00013879769 |
| 838 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.0001375596 |
| 891 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013421815 |
| 913 |
SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data |
2017 |
VLDB |
0.00013303877 |
| 1,197 |
MyRocks: LSM-Tree Database Storage Engine Serving Facebook's Social Graph |
2020 |
VLDB |
0.00011803545 |
| 1,490 |
The Log-Structured Merge-Bush & the Wacky Continuum |
2019 |
SIGMOD |
0.00010670432 |
| 1,629 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
0.0001024133 |
| 1,925 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
9.5601154e-05 |
| 2,033 |
Chucky: A Succinct Cuckoo Filter for LSM-Tree |
2021 |
SIGMOD |
9.3611235e-05 |
| 2,721 |
Lethe: A Tunable Delete-Aware LSM Engine |
2020 |
SIGMOD |
8.2688149e-05 |
| 2,798 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
8.1764761e-05 |
| 2,875 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
8.0765364e-05 |
| 2,981 |
Constructing and Analyzing the LSM Compaction Design Space |
2021 |
VLDB |
7.9488888e-05 |
| 3,176 |
Spooky: Granulating LSM-Tree Compactions Correctly |
2022 |
VLDB |
7.7392804e-05 |
| 3,489 |
Performance-Optimal Filtering: Bloom Overtakes Cuckoo at High Throughput |
2019 |
VLDB |
7.4469362e-05 |
| 3,496 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
7.4372186e-05 |
| 3,535 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
7.3934704e-05 |
| 4,191 |
SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy |
2023 |
SIGMOD |
6.9073432e-05 |
| 4,232 |
On Performance Stability in LSM-based Storage Systems |
2020 |
VLDB |
6.8805039e-05 |
| 4,502 |
Stacked Filters: Learning to Filter by Structure |
2021 |
VLDB |
6.7242584e-05 |
| 4,613 |
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes |
2018 |
VLDB |
6.6710679e-05 |
| 4,827 |
Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design |
2021 |
SIGMOD |
6.5576612e-05 |
| 4,838 |
Enabling Low Tail Latency on Multicore Key-Value Stores |
2020 |
VLDB |
6.5513566e-05 |
| 4,931 |
Key-Value Storage Engines |
2020 |
SIGMOD |
6.5035688e-05 |
| 5,051 |
The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation |
2023 |
VLDB |
6.4523325e-05 |
| 5,179 |
Dissecting, Designing, and Optimizing LSM-based Data Stores |
2022 |
SIGMOD |
6.3975112e-05 |
| 5,184 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.3945246e-05 |
| 5,199 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
6.3907666e-05 |
| 5,302 |
InfiniFilter: Expanding Filters to Infinity and Beyond |
2023 |
SIGMOD |
6.3443167e-05 |
| 5,713 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
6.1790178e-05 |
| 5,909 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
6.106668e-05 |
| 6,231 |
Spatial Independent Range Sampling |
2021 |
SIGMOD |
6.0077421e-05 |
| 6,422 |
FineLine: Log-structured Transactional Storage and Recovery |
2018 |
VLDB |
5.9464399e-05 |
| 6,455 |
ArkDB: A Key-Value Engine for Scalable Cloud Storage Services |
2021 |
SIGMOD |
5.9307402e-05 |
| 6,483 |
Prefix Filter: Practically and Theoretically Better Than Bloom |
2022 |
VLDB |
5.9241139e-05 |
| 6,765 |
SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure |
2024 |
VLDB |
5.8370505e-05 |
| 6,814 |
Breaking Down Memory Walls in LSM-based Storage Systems |
2020 |
SIGMOD |
5.8244766e-05 |
| 7,082 |
TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage |
2022 |
SIGMOD |
5.7605915e-05 |
| 7,152 |
LSM-Trees and B-Trees: The Best of Both Worlds |
2019 |
SIGMOD |
5.7461385e-05 |
| 7,166 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
5.7412668e-05 |
| 7,319 |
LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR |
2024 |
SIGMOD |
5.7020927e-05 |
| 7,334 |
Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems |
2019 |
VLDB |
5.698753e-05 |
| 7,357 |
Optimizing Collections of Bloom Filters within a Space Budget |
2024 |
VLDB |
5.6928769e-05 |
| 7,644 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.6327117e-05 |
| 8,050 |
How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice |
2025 |
SIGMOD |
5.557279e-05 |
| 8,303 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
5.5112019e-05 |
| 8,343 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.5045113e-05 |
| 8,614 |
Aleph Filter: To Infinity in Constant Time |
2024 |
VLDB |
5.4598872e-05 |
| 8,683 |
FishStore: Faster Ingestion with Subset Hashing |
2019 |
SIGMOD |
5.4524014e-05 |
| 8,692 |
ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads |
2026 |
VLDB |
5.4483927e-05 |