Geospatial Analytics at Scale and Speed
For Complex Geospatial Questions
Inbuilt Geospatial Operations
Geospatial Visualization Pipeline
One of the core challenges with geospatial analytics is moving data from the database layer to the visualization layer. Serializing and moving millions to billions of objects from one technology to another takes time. Kinetica is able to short-circuit this by keeping the data within its database, executing complex geospatial filters and advanced analytics, and rendering the geospatial data on the fly through its internal geospatial web server. With this architecture, it is possible to filter and visualize large, complex geospatial vector data at high speed, and without the challenges of moving data from a database to a separate geospatial server layer.
This demo shows the Kinetica engine powering accelerated analytics on a 14 billion record dataset of raw mobile signal events.
Explore Geospatial Data with a Variety of Tools
Kinetica integrates with a wide variety of BI Tools through it's ODBC/JDBC Connectors. Developers can leverage the REST API and language specific connectors to build rich interactive geospatial applications. Or perform quick analysis using Kinetica's own built-in BI framework.
Geospatial Visualization for Tableau
Kinetica Geospatial Visualization for Tableau, a brand new extension from Kinetica enables geospatial visualization at virtually unlimited scale. Instead of shipping data up to Tableau for processing, the extension uses Kinetica’s Web Map Service (WMS) endpoint to leverage server-side rendering. This enables visualizations on massive datasets in real time. With every pan and zoom on the map, Kinetica dynamically renders images on your live data source and sends them to the map.Learn More »