| 495 |
Milvus: A Purpose-Built Vector Data Management System |
2021 |
SIGMOD |
0.00021767688 |
| 1,943 |
Procella: Unifying serving and analytical data at YouTube |
2019 |
VLDB |
0.00010012569 |
| 2,029 |
SAND: Streaming Subsequence Anomaly Detection |
2021 |
VLDB |
9.740868e-05 |
| 2,064 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6418929e-05 |
| 2,126 |
MacroBase: Prioritizing Attention in Fast Data |
2017 |
SIGMOD |
9.4887794e-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 |
| 2,644 |
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series |
2020 |
VLDB |
8.3832357e-05 |
| 2,853 |
Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics |
2020 |
SIGMOD |
8.0108722e-05 |
| 3,286 |
Monarch: Google’s Planet-Scale In-Memory Time Series Database |
2020 |
VLDB |
7.2740159e-05 |
| 3,644 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8854928e-05 |
| 3,967 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
6.5796647e-05 |
| 4,059 |
GRAIL: Efficient Time-Series Representation Learning |
2019 |
VLDB |
6.4854417e-05 |
| 4,392 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2257087e-05 |
| 4,420 |
ASAP: Prioritizing Attention via Time Series Smoothing |
2017 |
VLDB |
6.2011459e-05 |
| 4,495 |
ClickHouse - Lightning Fast Analytics for Everyone |
2024 |
VLDB |
6.1410277e-05 |
| 4,507 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.131017e-05 |
| 4,514 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1204636e-05 |
| 4,628 |
Sim-Piece: Highly Accurate Piecewise Linear Approximation through Similar Segment Merging |
2023 |
VLDB |
6.0379315e-05 |
| 4,658 |
ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data |
2019 |
SIGMOD |
6.0183783e-05 |
| 5,071 |
Time Series Data Encoding for Efficient Storage: A Comparative Analysis in Apache IoTDB |
2022 |
VLDB |
5.7188461e-05 |
| 5,158 |
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes |
2018 |
VLDB |
5.6588553e-05 |
| 5,719 |
Survivability of Cloud Databases - Factors and Prediction |
2018 |
SIGMOD |
5.3550742e-05 |
| 6,123 |
Data Ingestion for the Connected World |
2017 |
CIDR |
5.1991194e-05 |
| 6,204 |
OnlineSTL: Scaling Time Series Decomposition by 100x |
2022 |
VLDB |
5.1590612e-05 |
| 6,311 |
VergeDB: A Database for IoT Analytics on Edge Devices |
2021 |
CIDR |
5.1161316e-05 |
| 6,596 |
Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries |
2021 |
VLDB |
4.9988301e-05 |
| 6,797 |
Raising the ClaSS of Streaming Time Series Segmentation |
2024 |
VLDB |
4.9241565e-05 |
| 6,859 |
Frequency Domain Data Encoding in Apache IoTDB |
2023 |
VLDB |
4.905867e-05 |
| 7,168 |
TimeUnion: An Efficient Architecture with Unified Data Model for Timeseries Management Systems on Hybrid Cloud Storage |
2022 |
SIGMOD |
4.8121704e-05 |
| 7,395 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.7420041e-05 |
| 7,469 |
Bullion: A Column Store for Machine Learning |
2025 |
CIDR |
4.7204398e-05 |
| 7,492 |
Krypton: Real-time Serving and Analytical SQL Engine at ByteDance |
2023 |
VLDB |
4.7180617e-05 |
| 7,534 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
4.7180004e-05 |
| 7,747 |
TSCache: An Efficient Flash-based Caching Scheme for Time-series Data Workloads |
2021 |
VLDB |
4.6616405e-05 |
| 8,119 |
DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems |
2024 |
VLDB |
4.5809563e-05 |
| 8,288 |
Mach: A Pluggable Metrics Storage Engine for the Age of Observability |
2022 |
CIDR |
4.5435639e-05 |
| 8,373 |
Hierarchical Residual Encoding for Multiresolution Time Series Compression |
2023 |
SIGMOD |
4.5329467e-05 |
| 8,588 |
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data |
2024 |
VLDB |
4.4900555e-05 |
| 8,698 |
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask |
2024 |
VLDB |
4.4657846e-05 |
| 9,111 |
Meta's Next-generation Realtime Monitoring and Analytics Platform |
2022 |
VLDB |
4.3942367e-05 |
| 9,128 |
Apache TsFile: An IoT-native Time Series File Format |
2024 |
VLDB |
4.3909921e-05 |
| 9,149 |
Serf: Streaming Error-Bounded Floating-Point Compression |
2025 |
SIGMOD |
4.3849295e-05 |
| 9,206 |
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search |
2023 |
VLDB |
4.373492e-05 |
| 9,404 |
Revisiting B-tree Compression: An Experimental Study |
2024 |
SIGMOD |
4.3441378e-05 |
| 9,496 |
Scabbard: Single-Node Fault-Tolerant Stream Processing |
2022 |
VLDB |
4.3341665e-05 |
| 9,645 |
The FastLanes File Format |
2025 |
VLDB |
4.3109001e-05 |
| 9,682 |
Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems |
2023 |
VLDB |
4.3047774e-05 |
| 9,881 |
VStream: A Distributed Streaming Vector Search System |
2025 |
VLDB |
4.2643674e-05 |
| 9,915 |
Camel: Efficient Compression of Floating-Point Time Series |
2024 |
SIGMOD |
4.2561557e-05 |