Abstract

HERRERA-RAMIREZ, José A.; TREVINO-VILLALOBOS, Marlen  and  VIQUEZ-ACUNA, Leonardo. Hybrid storage engine for geospatial data using NoSQL and SQL paradigms. Tecnología en Marcha [online]. 2021, vol.34, n.1, pp.40-54. ISSN 0379-3982.  http://dx.doi.org/10.18845/tm.v34i1.4822.

The design and implementation of services to handle geospatial data involves thinking about storage engine performance and optimization for the desired use. NoSQL and relational databases bring their own advantages; therefore, it is necessary to choose one of these options according to the requirements of the solution. These requirements can change, or some operations may be performed in a more efficient way on another database engine, so using just one engine means being tied to its features and work model. This paper presents a hybrid approach (NoSQL-SQL) to store geospatial data on MongoDB, which are replicated and mapped on a PostgreSQL database, using an open source tool called ToroDB Stampede; solutions then can take advantage from either NoSQL or SQL features, to satisfy most of the requirements associated to the storage engine performance. A descriptive analysis to explain the workflow of the replication and synchronization in both engines precedes the quantitative analysis by which it was possible to determine that a normal database in PostgreSQL has a shorter response time than to perform the query in PostgreSQL with the hybrid database. In addition, the type of geometry increases the update response time of a materialized view.

Keywords : Database; SQL; NoSQL; ToroDB; MongoDB; PostgreSQL; replication; mirroring.

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