Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series
Summary: Demonstrates ModelarDB, a model-based TSMS for dimensional time series with gaps, enabling fast ingestion and high compression via adaptive models under user-defined error bounds. Novel in correlation-driven grouping for improved compression and SQL-on-model querying, setting it apart from TSMSs focused on data cleaning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Søren Kejser Jensen (Aalborg University)
- 2. Torben Bach Pedersen (Aalborg University)
- 3. Christian Thomsen (Aalborg University)
BibTeX Citation
@inproceedings{jensen_sigmod19,
title = {{Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series}},
author = {Jensen, Søren Kejser and Pedersen, Torben Bach and Thomsen, Christian},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320216},
url = {https://dl.acm.org/doi/10.1145/3299869.3320216},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,339 | Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,973 | ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra | 2018 | VLDB | 9.3673522e-05 |
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