How good are modern spatial analytics systems?

Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper

Research output: Contribution to journalConference articlepeer-review

71 Scopus citations

Abstract

Spatial data is pervasive. Large amount of spatial data is produced every day from GPS-enabled devices such as cell phones, cars, sensors, and various consumer based applications such as Uber, location-tagged posts in Facebook, Instagram, Snapchat, etc. This growth in spatial data coupled with the fact that spatial queries, analytical or transactional, can be computationally extensive has attracted enormous interest from the research community to develop systems that can efficiently process and analyze this data. In recent years a lot of spatial analytics systems have emerged. Existing work compares either limited features of these systems or the studies are outdated since new systems have emerged. In this work, we first explore the available modern spatial processing systems and then thoroughly compare them based on features and queries they support, using real-world datasets.

Original languageEnglish
Pages (from-to)1661-1673
Number of pages13
JournalProceedings of the VLDB Endowment
Volume11
Issue number11
DOIs
StatePublished - 2018
Event44th International Conference on Very Large Data Bases, VLDB 2018 - Rio de Janeiro, Brazil
Duration: 27 Aug 201831 Aug 2018

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