 This study implements a serverless cloud GIS framework on Amazon Web Services, AWS, for a land valuation platform using Aurora Serverless PostgreSQL as the database management system and compares its performance with Amazon Relational Database Service, RDS. The results show that the serverless database responds to queries faster and scales up during high workload, allowing direct sharing of parcel vector data and raster-based land-value map tiles through S3 and AWS Lambda services. Mapbox GLJS is used to visualize all shared data and maps through a web browser. This article was authored by Mohammed Orguzanmeet and Tarzan Yomrilyoglu.