The Spatiotemporal Hybrid Cloud Platform provides many database management options for users. Consumers can deploy managed NoSQL databases and relational databases, or link their own online database in the cloud to the platform.
The platform provides a wide-ranging set of capabilities of deploying and managing databases. These services improves the research ability of academic institutions and business institutions by combining the tools for data management and analytics. What's more, the platform can make direct connections to various relational databases and NoSQL databases for storing, querying and analyzing geospatial data. The Spatiotemporal Hybrid Cloud Platform has four main options for data management:
Rasdaman Server, which provides the scalable data services for science, engineering, etc. It can handle massive multidimensional data (e.g.regular and irregular raster data, vector data). The Spatiotemporal Hybrid Cloud Platform manages the mechanics and the user don't have to manage the database software or the hardware.
Rasdaman Database in a VM, with Rasdaman database running in a virtual machine created by the Spatiotemporal Hybrid Cloud Platform, users can use all of Rasdaman services, but they are required to manage the database server and the Virtual machine.
PostGIS Server, which is a spatial database based on PostgreSQL. It enhances the ability of geospatial analysis for PostgreSQL. PostGIS is an implementation of the Simple Features for SQL specification from the Open Geospatial Consortium (OGC).
HBase Server, which is a distributed NoSQL database. It is a part of apache Hadoop project and runs based on HDFS (Hadoop Distributed File system). It provides Google BigTable-like abilities for Hadoop.
All four options let users store, access and manage data, but they differ in a number of ways.