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Peer-Review Record

Suitability of Graph Database Technology for the Analysis of Spatio-Temporal Data

Future Internet 2020, 12(5), 78; https://doi.org/10.3390/fi12050078
by Sedick Baker Effendi 1,*, Brink van der Merwe 1 and Wolf-Tilo Balke 2
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Future Internet 2020, 12(5), 78; https://doi.org/10.3390/fi12050078
Submission received: 30 March 2020 / Revised: 23 April 2020 / Accepted: 23 April 2020 / Published: 26 April 2020
(This article belongs to the Special Issue Sense Making in the Digital World)

Round 1

Reviewer 1 Report

1. The paper was clear and concise. 2. The background information is very clear and balanced. 3. I think the structure among all sections are coherent and does not need any improvement.  

Author Response

Thank you for the positive feedback. 

Reviewer 2 Report

Authors share the comparison and  experiences of suitability analysis for PostgreSQL, JanusGraph, and TigerGraph spatiotemporal databases. It is quite interesting for system developers to select an adequate database based on the features of application domain and dataset, especially in the current AIOT era. It would be great that if authors can add some other famous spatiotemporal database into the comparison list, such as TerraLib and GeoMesa which can be found in wikipedia, or add some information regarding to why not suggest to use those databases.

Author Response

Thank you for the feedback.

Our focus on PostgreSQL, JanusGraph and TigerGaph is motivated in Section 4.1. In short, our paper is on the suitability of graph databases and the only non-graph database, PostgreSQL, serves as a control, since with its spatial extension PostGIS, it was identified as being suitable for spatiotemporal data. A paragraph with additional motivation for our choice and mentioning GeoMesa and TerraLib, was added on p3, Section 2, lines 91-96.

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