Kinetica, a high-performance GPU-accelerated database, comes with powerful tools for visualizing large geospatial datasets.
For Complex Geospatial Questions
Inbuilt Geospatial Operations
This demo shows the Kinetica engine powering accelerated analytics on a 14 billion record dataset of raw mobile signal events.
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.
Datasets to Explore!
Who's travelling where in NYC?
Explore 4bn Tweets
FAA Flight Data
Take the Kinetica Challenge!
Sometimes benchmarks and marketing copy can sound too good to be true. The best way to appreciate the possibilities that GPU acceleration brings to large-scale analytics is to try it with your own data, your own schemas and your own queries.
Contact us, and we'll set you up with a trial environment for you to experience it for yourself.