The proliferation of smart phones with embedded geolocation sensors has led to an explosion of geospatial data in all domains. Every mobile app now asks users to enable location services and generates copious geotagged data. Existing solutions for managing this data rely on traditional approaches using geospatial relational RDBMS platforms. GeoMesa is an open source scalable spatio-temporal index built on top of the Accumulo distributed column family database that provides efficient OGC standards based access and query capabilities of very large datasets. GeoMesa provides WMS or WFS services over HTTP for data access as well as an API based on Geotools. Spatial analytics in GeoMesa can leverage Hadoop to perform computations in parallel on a cloud. Sensitive personal information inherent in consumer geolocated data can be protected using Accumulo's cell level security. This talk will cover the indexing structure in GeoMesa and how it enables scalable geospatial analytics in a cloud platform.