Choosing and Setting Up a Cloud PostGIS Solution for Felt: Navigating the Modern GIS Stack
Blog post from Felt
In the realm of Geographic Information Systems (GIS), PostGIS serves as a crucial extension for PostgreSQL, enhancing its capabilities to handle spatial data with advantages such as scalability, advanced spatial analysis, and multi-user collaboration. When integrated with Felt, a cloud-native GIS platform, it forms a robust infrastructure for geospatial projects. Opting for a cloud PostGIS solution simplifies setup and maintenance, offering automatic updates, scalability, and cost-effectiveness over self-hosting. Key considerations when choosing a cloud PostGIS provider include performance, geospatial feature support, security, integration capabilities, and pricing models. Popular options include Amazon RDS, Google Cloud SQL, Azure Database, and Crunchy Bridge, each offering distinct benefits depending on the user's existing technology stack and requirements. The process of setting up PostGIS for Felt involves creating a dedicated database, enabling PostGIS, and implementing security measures like SSL connections and IP allowlisting. Best practices for optimizing the use of cloud PostGIS with Felt include regular performance monitoring, query optimization, staying updated with the latest PostGIS versions, and effective cost management, ensuring a powerful and efficient GIS workflow.