PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. PostGIS adds extra types (geometry, geography, raster and others) to the PostgreSQL database. It also adds functions, operators, and index enhancements that apply to these spatial types. 
 
 
Its features include 
<ul>
<li>Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying,
and collecting/unioning with the power of SQL</li>
<li>raster map algebra for fine-grained raster processing</li>
<li>Spatial reprojection SQL callable functions for both vector and raster data</li>
<li>Support for importing / exporting ESRI shapefile vector data via both commandline and GUI packaged tools and support for more formats via other 3rd-party Open Source tools</li>
<li>Packaged command-line for importing raster data from many standard formats: GeoTiff, NetCDF, PNG, JPG to name a few</li>
<li>Rendering and importing vector data support functions for standard textual formats such as KML,GML, GeoJSON,GeoHash and WKT using SQL </li>
<li>Rendering raster data in various standard formats GeoTIFF, PNG, JPG, NetCDF, to name a few using SQL</li>
<li>Seamless raster/vector SQL callable functions for extrusion of pixel values by geometric region, running stats by region, clipping rasters by a geometry, and vectorizing rasters</li>
<li>3D object support, spatial index, and functions</li>
<li>Network Topology support</li>
</ul>

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL. PostGIS adds extra types (geometry, geography, raster and others) to the PostgreSQL database. It also adds functions, operators, and index enhancements that apply to these spatial types. 

PostGIS - Spatial and Geographic objects for PostgreSQL

GeoMesa is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. Leveraging a highly parallelized indexing strategy, GeoMesa aims to provide as much of the spatial querying and data manipulation to Accumulo as PostGIS does to Postgres.
 
Through GeoServer, GeoMesa facilitates integration with a wide range of existing mapping clients over standard OGC (Open Geospatial Consortium) APIs and protocols such as WFS and WMS. GeoMesa supports Apache Spark for custom distributed geospatial analytics.
 
Through a geographical information server such as GeoServer, GeoMesa facilitates integration with a wide range of existing mapping clients by enabling access to its databases and streaming capabilities over standard OGC (Open Geospatial Consortium) APIs and protocols such as WFS and WMS. These interfaces also let GeoMesa drive map user interfaces and serve up data for analytics such as queries, histograms, heat maps, and time series analyses.

GeoMesa is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. Leveraging a highly parallelized indexing strategy, GeoMesa aims to provide as much of the spatial querying and data manipulation to Accumulo as PostGIS does to Postgres.

GeoMesa - Suite of tools for working with big geo-spatial data in a distributed fashion

Tile38 is a in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON. It supports spatial index with search methods such as Nearby, Within, and Intersects, Realtime geofencing through persistent sockets or webhooks and lot more.
 
Tile38 uses the Redis RESP protocol natively. Therefore most clients that support basic Redis commands will in turn support Tile38.

Tile38 is a  in-memory geolocation data store, spatial index, and realtime geofence. It supports a variety of object types including lat/lon points, bounding boxes, XYZ tiles, Geohashes, and GeoJSON. It supports spatial index with search methods such as Nearby, Within, and Intersects, Realtime geofencing through persistent sockets or webhooks and lot more. 

Tile38 - Geospatial database, spatial index, and realtime geofence

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PostGIS - Spatial and Geographic objects for PostgreSQL

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