Open Source Business Intelligence Tools: Metabase and Redash

Bruno Santos, Francisco Sério, Steven Abrantes, Filipe Sá, Jorge Loureiro, Cristina Wanzeler, Pedro Martins

2019

Abstract

This electronic document is an article that explores the capabilities of Business Intelligence tools, primarily their ability to analyze generated business data gathered from a company. These corporations can improve (or even create) their products according to the insights provided by these platforms, with the possibility of outclassing their direct competitors, something to be proved crucial for an ever-evolving market. In this article, we have tested and compared two of the most promising open-source BI platforms currently available: these are Metabase and Redash. Our focus is to analyze what they offer as a package, where we defined some key points, such as: overall performance, search engine compatibility, key features, etc. May we remind that the implementation of a platform of choice, concerning BI software, may vary according to company demands. Some tools may be more suitable for a corporation, while others may be the best choice for a different entity.

Paper Citation

in Harvard Style

Santos B., Sério F., Abrantes S., Sá F., Loureiro J., Wanzeler C. and Martins P. (2019). Open Source Business Intelligence Tools: Metabase and Redash. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 467-474. DOI: 10.5220/0008351704670474

in Bibtex Style

@conference{kdir19,
author={Bruno Santos and Francisco Sério and Steven Abrantes and Filipe Sá and Jorge Loureiro and Cristina Wanzeler and Pedro Martins},
title={Open Source Business Intelligence Tools: Metabase and Redash},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={467-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008351704670474},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Open Source Business Intelligence Tools: Metabase and Redash
SN - 978-989-758-382-7
AU - Santos B.
AU - Sério F.
AU - Abrantes S.
AU - Sá F.
AU - Loureiro J.
AU - Wanzeler C.
AU - Martins P.
PY - 2019
SP - 467
EP - 474
DO - 10.5220/0008351704670474
PB - SciTePress