| 132 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.00043697853 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 241 |
DB2 with BLU Acceleration: So Much More than Just a Column Store |
2013 |
VLDB |
0.00031314629 |
| 601 |
Linear Road: A Stream Data Management Benchmark |
2004 |
VLDB |
0.00019372971 |
| 1,572 |
Query Preserving Graph Compression |
2012 |
SIGMOD |
0.00011296109 |
| 1,784 |
Fast Approximate Correlation for Massive Time-series Data |
2010 |
SIGMOD |
0.00010548792 |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 2,137 |
How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations |
2006 |
VLDB |
9.463768e-05 |
| 2,188 |
Aurora: A Data Stream Management System |
2003 |
SIGMOD |
9.3378116e-05 |
| 2,274 |
ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra |
2018 |
VLDB |
9.1432785e-05 |
| 2,619 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4427442e-05 |
| 2,684 |
Finding Semantics in Time Series |
2011 |
SIGMOD |
8.3154143e-05 |
| 3,142 |
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing |
2017 |
VLDB |
7.4905759e-05 |
| 3,288 |
Monarch: Google’s Planet-Scale In-Memory Time Series Database |
2020 |
VLDB |
7.2680967e-05 |
| 3,673 |
LittleTable: A Time-Series Database and Its Uses |
2017 |
SIGMOD |
6.8509543e-05 |
| 3,771 |
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures |
2016 |
SIGMOD |
6.7738535e-05 |
| 3,801 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7528979e-05 |
| 3,971 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
6.5733348e-05 |
| 4,389 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2197225e-05 |
| 4,509 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.1251244e-05 |
| 4,520 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
VLDB |
6.1119645e-05 |
| 4,628 |
Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging |
2023 |
VLDB |
6.0321252e-05 |
| 4,792 |
YADING: Fast Clustering of Large-Scale Time Series Data |
2015 |
VLDB |
5.9132429e-05 |
| 4,828 |
Managing Massive Time Series Streams with Multi-Scale Compressed Trickles |
2009 |
VLDB |
5.8890363e-05 |
| 5,070 |
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB |
2022 |
VLDB |
5.7133478e-05 |
| 6,335 |
Column Stores For Wide and Sparse Data |
2007 |
CIDR |
5.1010058e-05 |
| 6,366 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0892171e-05 |
| 6,597 |
Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries |
2021 |
VLDB |
4.9940332e-05 |
| 6,983 |
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression |
2023 |
SIGMOD |
4.8682622e-05 |
| 7,229 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.790163e-05 |
| 7,392 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.737456e-05 |
| 8,090 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5853298e-05 |
| 8,222 |
TSGBench: Time Series Generation Benchmark |
2024 |
VLDB |
4.5509275e-05 |
| 8,341 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
4.5373173e-05 |
| 8,414 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
4.5135713e-05 |
| 8,991 |
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications |
2023 |
VLDB |
4.4113784e-05 |
| 9,127 |
Apache TsFile: An IoT-native Time Series File Format |
2024 |
VLDB |
4.3867836e-05 |
| 9,558 |
Clean4TSDB: A Data Cleaning Tool for Time Series Databases |
2024 |
VLDB |
4.3212967e-05 |
| 9,560 |
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data |
2024 |
VLDB |
4.3212967e-05 |
| 9,914 |
Camel: Efficient Compression of Floating-Point Time Series |
2024 |
SIGMOD |
4.2520778e-05 |
| 9,919 |
Mining and Forecasting of Big Time-series Data |
2015 |
SIGMOD |
4.2520778e-05 |
| 11,178 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,226 |
Homomorphic Compression: Making Text Processing on Compression Unlimited |
2023 |
SIGMOD |
4.1905499e-05 |