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VLDB Workshop on Data Management and Analytics for Medicine and Healthcare

VLDB Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances

DMAH 2021, Poly 2021: Heterogeneous Data Management, Polystores, and Analytics for Healthcare pp 65–69Cite as

Polystore Systems and DBMSs: Love Marriage or Marriage of Convenience?

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12921))

Abstract

Polystore systems allow to combine different heterogeneous data stores in one system and also offer different query languages for accessing data. While this addresses a large number of requirements especially when providing access to heterogeneous data in mixed workloads, most polystore systems are somewhat limited in terms of their functionality. In this paper, we make the case to ‘upgrade’ polystore systems towards full-fledged databases systems, leading to the notion of PolyDBMSs. We summarize the features of such PolyDBMSs and exemplify the implementation on the basis of our PolyDBMS Polypheny-DB.

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Notes

  1. 1.

    https://github.com/polypheny/Polypheny-DB.

  2. 2.

    https://polypheny.org/documentation/PolySQL/Operators/.

References

  1. Bernstein, P., Hadzilacos, V., Goodman, N.: Concurrency Control and Recovery in Database Systems. Addison-Wesley Longman, Boston (1987)

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  2. Connolly, T., Begg, C.: Database Systems: A Practical Approach to Design, Implementation, and Management. Pearson, Boston (2014)

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  3. Tan, R., Chirkova, R., Gadepally, V., Mattson, T.G.: Enabling query processing across heterogeneous data models: a survey. In: Proceedings of the 2017 IEEE International Conference on Big Data (BigData 2017), pp. 3211–3220. IEEE, Boston (2017). https://doi.org/10.1109/BigData.2017.8258302

  4. Vogt, M., et al.: Polypheny-DB: towards bridging the gap between polystores and HTAP systems. In: Gadepally, V., et al. (eds.) DMAH/Poly-2020. LNCS, vol. 12633, pp. 25–36. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-71055-2_2

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  5. Vogt, M., Stiemer, A., Schuldt, H.: Polypheny-DB: towards a distributed and self-adaptive polystore. In: 2018 IEEE International Conference on Big Data, pp. 3364–3373. IEEE (2018). https://doi.org/10.1109/BigData.2018.8622353

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Acknowledgments

This work has been partly funded by the Swiss National Science Foundation, project Polypheny-DB (contract no. 200021_172763).

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Authors and Affiliations

  1. Databases and Information Systems Research Group, Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland

    Marco Vogt, David Lengweiler, Isabel Geissmann, Nils Hansen, Marc Hennemann, Cédric Mendelin, Sebastian Philipp & Heiko Schuldt

Authors
  1. Marco Vogt
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  2. David Lengweiler
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  3. Isabel Geissmann
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  4. Nils Hansen
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  5. Marc Hennemann
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  6. Cédric Mendelin
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  7. Sebastian Philipp
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  8. Heiko Schuldt
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Corresponding author

Correspondence to Marco Vogt .

Editor information

Editors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, MA, USA

    El Kindi Rezig

  2. Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, USA

    Vijay Gadepally

  3. Intel Corporation, Portland, ME, USA

    Timothy Mattson

  4. Massachusetts Institute of Technology, Cambridge, MA, USA

    Michael Stonebraker

  5. Massachusetts Institute of Technology, Cambridge, MA, USA

    Tim Kraska

  6. Stonybrook University, Lake Grove, NY, USA

    Fusheng Wang

  7. University of Utah, Salt Lake City, UT, USA

    Gang Luo

  8. Georgia State University, Atlanta, GA, USA

    Jun Kong

  9. Lucerne Unviersity of Applied Sciences, Rotkreuz, Zug, Switzerland

    Alevtina Dubovitskaya

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Cite this paper

Vogt, M. et al. (2021). Polystore Systems and DBMSs: Love Marriage or Marriage of Convenience?. In: Rezig, E.K., et al. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. DMAH Poly 2021 2021. Lecture Notes in Computer Science(), vol 12921. Springer, Cham. https://doi.org/10.1007/978-3-030-93663-1_6

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  • DOI: https://doi.org/10.1007/978-3-030-93663-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93662-4

  • Online ISBN: 978-3-030-93663-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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