| 131 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.0004370331 |
| 210 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003404384 |
| 241 |
DB2 with BLU Acceleration: So Much More than Just a Column Store |
2013 |
VLDB |
0.00031420034 |
| 600 |
Linear Road: A Stream Data Management Benchmark |
2004 |
VLDB |
0.0001938744 |
| 1,579 |
Query Preserving Graph Compression |
2012 |
SIGMOD |
0.00011283792 |
| 1,786 |
Fast Approximate Correlation for Massive Time-series Data |
2010 |
SIGMOD |
0.00010558719 |
| 2,064 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6418929e-05 |
| 2,134 |
How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations |
2006 |
VLDB |
9.4741038e-05 |
| 2,182 |
Aurora: A Data Stream Management System |
2003 |
SIGMOD |
9.3449021e-05 |
| 2,267 |
ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra |
2018 |
VLDB |
9.1519895e-05 |
| 2,613 |
Decomposed Bounded Floats for Fast Compression and Queries |
2021 |
VLDB |
8.4503824e-05 |
| 2,680 |
Finding Semantics in Time Series |
2011 |
SIGMOD |
8.3234371e-05 |
| 3,133 |
Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing |
2017 |
VLDB |
7.4978041e-05 |
| 3,286 |
Monarch: Google’s Planet-Scale In-Memory Time Series Database |
2020 |
VLDB |
7.2740159e-05 |
| 3,673 |
LittleTable: A Time-Series Database and Its Uses |
2017 |
SIGMOD |
6.85585e-05 |
| 3,762 |
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures |
2016 |
SIGMOD |
6.7804471e-05 |
| 3,798 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7592302e-05 |
| 3,967 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
6.5796647e-05 |
| 4,392 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2257087e-05 |
| 4,507 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.131017e-05 |
| 4,518 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
VLDB |
6.117844e-05 |
| 4,628 |
Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging |
2023 |
VLDB |
6.0379315e-05 |
| 4,823 |
YADING: Fast Clustering of Large-Scale Time Series Data |
2015 |
VLDB |
5.8956566e-05 |
| 4,824 |
Managing Massive Time Series Streams with Multi-Scale Compressed Trickles |
2009 |
VLDB |
5.8947137e-05 |
| 5,071 |
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB |
2022 |
VLDB |
5.7188461e-05 |
| 6,336 |
Column Stores For Wide and Sparse Data |
2007 |
CIDR |
5.1056582e-05 |
| 6,367 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0941072e-05 |
| 6,596 |
Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries |
2021 |
VLDB |
4.9988301e-05 |
| 6,985 |
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression |
2023 |
SIGMOD |
4.8729387e-05 |
| 7,231 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.7943888e-05 |
| 7,395 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.7420041e-05 |
| 8,088 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5897316e-05 |
| 8,224 |
TSGBench: Time Series Generation Benchmark |
2024 |
VLDB |
4.5552948e-05 |
| 8,373 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
4.5329467e-05 |
| 8,985 |
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications |
2023 |
VLDB |
4.4156106e-05 |
| 9,128 |
Apache TsFile: An IoT-native Time Series File Format |
2024 |
VLDB |
4.3909921e-05 |
| 9,431 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
4.3434046e-05 |
| 9,558 |
Clean4TSDB: A Data Cleaning Tool for Time Series Databases |
2024 |
VLDB |
4.3254416e-05 |
| 9,560 |
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data |
2024 |
VLDB |
4.3254416e-05 |
| 9,915 |
Camel: Efficient Compression of Floating-Point Time Series |
2024 |
SIGMOD |
4.2561557e-05 |
| 9,920 |
Mining and Forecasting of Big Time-series Data |
2015 |
SIGMOD |
4.2561557e-05 |
| 11,175 |
Grouping Time Series for Efficient Columnar Storage |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,224 |
Homomorphic Compression: Making Text Processing on Compression Unlimited |
2023 |
SIGMOD |
4.1945683e-05 |