In the realm of Geographic Information Systems (GIS), PostGIS is an essential extension for PostgreSQL that efficiently handles spatial data, offering advantages like scalability, advanced spatial analysis, multi-user collaboration, data integrity, and cloud readiness. When integrated with Felt, a modern cloud-native GIS platform, users can streamline geospatial projects without the complexities of database management through cloud PostGIS solutions. These solutions offer simplified setup, automatic updates, scalability, built-in backups, and cost-effectiveness, making them preferable to self-hosted options. Key considerations when choosing a cloud PostGIS provider include performance, geospatial features, security, integration with Felt, pricing models, and management features. Popular options such as Amazon RDS, Google Cloud SQL, Azure Database, and Crunchy Bridge provide diverse benefits, catering to different user needs and technical environments. Setting up a cloud PostGIS for Felt involves creating a dedicated user, implementing security measures, and optimizing data management and query performance. This setup allows users to focus on data analysis and visualization, leveraging the robust combination of PostGIS and Felt to enhance their GIS workflows.