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https://github.com/skejserjensen/ModelarDB

ModelarDB: Modular Model-Based Time Series Management
https://github.com/skejserjensen/ModelarDB

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ModelarDB: Modular Model-Based Time Series Management

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README 

          
# ModelarDB

ModelarDB is a modular model-based time series management system that interfaces

a query engine and a data store with ModelarDB Core. This Core is a

self-contained, adaptive, and highly extensible Java library for automatic

online compression and efficient aggregation of time series. ModelarDB is

designed for Unix-like operating systems and is tested on Linux.



This repository primarily contains the static source code for the legacy

JVM-based versions of ModelarDB documented in the [papers listed

below](https://github.com/skejserjensen/ModelarDB#papers). A re-design and

re-implementation in Rust is currently being developed as an open-source project

at [ModelarDB](https://github.com/ModelarData/ModelarDB-RS). Thus, [this

Rust-based version of ModelarDB](https://github.com/ModelarData/ModelarDB-RS) is

under active development, while [the legacy JVM-based version of

ModelarDB](https://github.com/ModelarData/ModelarDB) is not.



## Installation

1. Install a Java Development Kit.\*

2. Install the Scala Build Tool (sbt).

3. Clone the ModelarDB Git [repository](https://github.com/skejserjensen/ModelarDB).

4. Start ``sbt`` in the root of the repository and run one of the following commands:



- `compile` compiles ModelarDB to Java class files.

- `package` compiles ModelarDB to a Jar file.

- `assembly` compiles ModelarDB to an uber Jar file.\*\*

- `run` executes ModelarDB's main method.\*\*\*



\* OpenJDK 11 and Oracle's Java SE Development Kit 11 have been tested.



\*\* To execute ModelarDB on an existing Apache Spark cluster, an uber Jar must

be created to ensure the necessary dependencies are included in a single Jar

file.



\*\*\* If ``sbt run`` is executed directly from the command-line, then the run

command and the arguments must be surrounded by quotes to pass the arguments to

ModelarDB: ``sbt 'run arguments'``.



## Configuration

ModelarDB requires that a configuration file is available at

`$HOME/.modelardb.conf` or is passed as the first command-line argument. This

file must specify the query processing engine and data store to use. An example

configuration is included as part of this repository.



## Papers

The research leading to ModelarDB is documented in several papers. If you use

ModelarDB in academia, please cite the relevant paper(s) below.



***Demonstration of ModelarDB: Model-Based Management of High-Frequency Time Series Across Edge, Cloud, and Client***\

by Søren Kejser Jensen, Christian Schmidt Godiksen, Christian Thomsen, Torben Bach Pedersen\

in *The Proceedings of the VLDB Endowment, 18(12): 5247-5250, 2025*\

Links: [PVLDB](https://www.vldb.org/pvldb/vol18/p5247-jensen.pdf)



***Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB***\

by Abduvoris Abduvakhobov, Søren Kejser Jensen, Torben Bach Pedersen, and Christian Thomsen\

in *The Proceedings of the VLDB Endowment, 17(13): 4723-4732, 2024*\

Links: [PVLDB](https://www.vldb.org/pvldb/vol17/p4723-abduvakhobov.pdf), [AAU (extended)](https://vbn.aau.dk/ws/portalfiles/portal/771244882/v17_clean_revision_submitted_Extended_Version.pdf), [GitHub](https://github.com/aabduvakhobov/ModelarDB-Analyzer), [Slides](slides/2025-09-04_PVLDB.pdf)



***Why Model-Based Lossy Compression is Great for Wind Turbine Analytics***\

by Søren Kejser Jensen, Christian Thomsen, Torben Bach Pedersen, Carlos Enrique Muñiz-Cuza, and Abduvoris Abduvakhobov\

in *The Proceedings of ICDE, 5667-5668, 2024*\

Links: [IEEE](https://ieeexplore.ieee.org/document/10597779), [Slides](slides/2024-05-16_ICDE.pdf)



***Time Series Management Systems: A 2022 Survey***\

by Søren Kejser Jensen, Torben Bach Pedersen, and Christian Thomsen\

in *Data Series Management and Analytics (Forthcoming)*\

Links: [AAU (preprint)](https://vbn.aau.dk/da/publications/time-series-management-systems-a-2022-survey)



***ModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud***\

by Søren Kejser Jensen, Christian Thomsen, and Torben Bach Pedersen\

in *Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII, 1-33, 2023*\

Links: [Springer](https://link.springer.com/chapter/10.1007/978-3-662-66863-4_1)



***Scalable Model-Based Management of Correlated Dimensional Time Series in ModelarDB+***\

by Søren Kejser Jensen, Torben Bach Pedersen, and Christian Thomsen\

in *The Proceedings of ICDE, 1380-1391, 2021*\

Links: [IEEE](https://ieeexplore.ieee.org/document/9458830), [arXiv (preprint)](https://arxiv.org/abs/1903.10269), [Slides](slides/2021-04-22_ICDE.pdf)



***Model-Based Time Series Management at Scale***\

by Søren Kejser Jensen\

*PhD Thesis, The Technical Faculty of IT and Design, Aalborg University, 2019*\

Links: [AAU](https://vbn.aau.dk/en/publications/model-based-time-series-management-at-scale), [Slides](slides/2019-11-04_PhD-Defence.pdf)



***Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series***\

by Søren Kejser Jensen, Torben Bach Pedersen, and Christian Thomsen\

in *The Proceedings of SIGMOD, 1933-1936, 2019*\

Links: [ACM](https://dl.acm.org/doi/10.1145/3299869.3320216)



***ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra***\

by Søren Kejser Jensen, Torben Bach Pedersen, and Christian Thomsen\

in *The Proceedings of the VLDB Endowment, 11(11): 1688-1701, 2018*\

Links: [PVLDB](http://www.vldb.org/pvldb/vol11/p1688-jensen.pdf), [Slides](slides/2018-08-29_PVLDB.pdf)



***Time Series Management Systems: A Survey***\

by Søren Kejser Jensen, Torben Bach Pedersen, and Christian Thomsen\

in *IEEE Transactions on Knowledge and Data Engineering, 29(11): 2581–2600, 2017*\

Links: [IEEE](https://ieeexplore.ieee.org/document/8012550/), [arXiv (preprint)](https://arxiv.org/abs/1710.01077)



## Presentations

The research leading to ModelarDB has also been presented at multiple events.

The slides used are available below:



***ModelarDB: Analytics of High-Frequency Time Series Across Edge, Cloud, and Client***\

by Christian Thomsen and Søren Kejser Jensen\

at *Danish Digitalization, Data Science and AI, 2024*\

Links: [Event](https://d3aconference.dk/), [Slides](slides/2024-10-23_D3A.pdf)



***Model-based storage and management of massive sensor time series***\

by Christian Thomsen\

at *Digital Tech Summit, 2021*\

Links: [Event](https://my.eventbuizz.com/event/digital-tech-summit-8890/detail), [Slides](slides/2021-12-01_DTS.pdf)



***Extreme-Scale Model-Based Time Series Management with ModelarDB***\

by Torben Bach Pedersen as a Keynote Speaker\

at the *32nd International Conference on Database and Expert Systems Applications, 2021*\

Links: [Event](http://www.dexa.org/previous/dexa2021/keynotes2021.html#keynote3), [Slides](slides/2021-09-30_DEXA-Keynote.pdf)



***Extreme-Scale Model-Based Time Series Management with ModelarDB***\

by Torben Bach Pedersen as a Keynote Speaker\

at the *28th International Symposium on Temporal Representation and Reasoning, 2021*\

Links: [Event](https://conference2.aau.at/event/61/page/46-time-2021), [Abstract](https://drops.dagstuhl.de/opus/volltexte/2021/14778/), [Slides](slides/2021-09-28_TIME-Keynote.pdf)



***Extreme-Scale Model-Based Time Series Management with ModelarDB***\

by Torben Bach Pedersen as a Keynote Speaker\

at the *10th International Conference on Model and Data Engineering, 2021*\

Links: [Event](https://cs.ttu.ee/events/medi2021/?page=keynotes), [Slides](slides/2021-06-21_MEDI-Keynote.pdf)



***Model-Based Management of Correlated Dimensional Time Series***\

by Søren Kejser Jensen\

at *Dagstuhl Seminar 19282 (Data Series Management), 2019*\

Links: [Event](https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=19282), [Rapport](https://drops.dagstuhl.de/opus/volltexte/2019/11634/), [Slides](slides/2019-07-08_Dagstuhl-Seminar-19282.pdf)



***Effektive metoder til at gemme og forespørge på store mængder tidsseriedata***\

by Christian Thomsen\

at *GrowAAL, 2019*\

Links: [Event](https://infinit.dk/big-data/anvend-data-til-at-sikre-din-investering/), [Slides](slides/2019-05-07_GrowAAL.pdf)



## License

ModelarDB is licensed under version 2.0 of the Apache License and a copy of the

license is bundled with the program.