| 281 |
LinkBench: a Database Benchmark Based on the Facebook Social Graph |
2013 |
SIGMOD |
0.0002906793 |
| 360 |
BLOCKBENCH: A Framework for Analyzing Private Blockchains |
2017 |
SIGMOD |
0.00025790132 |
| 379 |
bLSM: A General Purpose Log Structured Merge Tree |
2012 |
SIGMOD |
0.0002493527 |
| 609 |
Monkey: Optimal Navigable Key-Value Store |
2017 |
SIGMOD |
0.0001923446 |
| 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 |
| 1,460 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011887068 |
| 2,004 |
X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing |
2019 |
SIGMOD |
9.811707e-05 |
| 2,109 |
The Log-Structured Merge-Bush & the Wacky Continuum |
2019 |
SIGMOD |
9.5318694e-05 |
| 2,798 |
Chucky: A Succinct Cuckoo Filter for LSM-Tree |
2021 |
SIGMOD |
8.1080111e-05 |
| 3,544 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9898874e-05 |
| 3,611 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9191399e-05 |
| 3,673 |
LittleTable: A Time-Series Database and Its Uses |
2017 |
SIGMOD |
6.85585e-05 |
| 3,793 |
Constructing and Analyzing the LSM Compaction Design Space |
2021 |
VLDB |
6.7617833e-05 |
| 4,427 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
6.1965873e-05 |
| 4,835 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
5.8905445e-05 |
| 4,854 |
TOAIN: A Throughput Optimizing Adaptive Index for Answering Dynamic kNN Queries on Road Networks |
2018 |
VLDB |
5.8743687e-05 |
| 4,945 |
SplinterDB and Maplets: Improving the Tradeoffs in Key-Value Store Compaction Policy |
2023 |
SIGMOD |
5.8157107e-05 |
| 5,158 |
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes |
2018 |
VLDB |
5.6588553e-05 |
| 5,446 |
Grafite: Taming Adversarial Queries with Optimal Range Filters |
2024 |
SIGMOD |
5.5018138e-05 |
| 5,762 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3377299e-05 |
| 5,863 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
5.2979639e-05 |
| 7,154 |
Bf-Tree: A Modern Read-Write-Optimized Concurrent Larger-Than-Memory Range Index |
2024 |
VLDB |
4.815267e-05 |
| 7,472 |
GeckoFTL: Scalable Flash Translation Techniques For Very Large Flash Devices |
2016 |
SIGMOD |
4.7199619e-05 |
| 7,620 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
4.693568e-05 |
| 8,009 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
4.6066863e-05 |
| 8,491 |
SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis |
2022 |
VLDB |
4.4993073e-05 |
| 8,724 |
Memento Filter: A Fast, Dynamic, and Robust Range Filter |
2024 |
SIGMOD |
4.4600996e-05 |
| 8,876 |
MirrorKV: An Efficient Key-Value Store on Hybrid Cloud Storage with Balanced Performance of Compaction and Querying |
2023 |
SIGMOD |
4.4304279e-05 |
| 9,071 |
Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space |
2024 |
SIGMOD |
4.4025274e-05 |
| 9,386 |
Rethinking The Compaction Policies in LSM-trees |
2025 |
SIGMOD |
4.3455975e-05 |
| 9,529 |
Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees |
2025 |
SIGMOD |
4.32934e-05 |