On Choosing the Columnar In-Memory Database Hyrise as High-Performant Implementation Platform for the GrandReport Tool
In this paper, we provide informed arguments for using columnar in-memory database technology, in particular the Hyrise database, for the high-performant implementation of the highly combinatorial data mining tool GrandReport. In service of that we provide a targeted review of columnar databases, a targeted review of columnar in-memory databases, and a comparison of nine established columnar in-memory databases. On the basis of this, we discuss advantages of using the Hyrise database as the future implementation platform for the GrandReport tool.
Authors
- Mahtab Shahin (ORCID: https://orcid.org/0000-0002-5784-6301)
- Dirk Draheim (ORCID: https://orcid.org/0000-0003-3376-7489)
- Rahul Sharma (ORCID: https://orcid.org/0000-0002-9024-8768)
- Minakshi Kaushik (ORCID: https://orcid.org/0000-0002-6658-1712)
- Sijo Arakkal Peious (ORCID: https://orcid.org/0000-0002-7858-9463)
Institutions
- Karlsruhe Institute of Technology (DE)
- Tallinn University of Technology (EE)
- Institute of Management Technology (IN)
- Tallinn University (EE)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/ngise64126.2025.11085185
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00