Operate on multiple data points across space and time using a single in-database instruction. Unify spatial functions, time series, and graph capabilities to extract value from sensor data. Leverage powerful server-side rendering to visualize billions of data points with instant interactivity.
Utilize Kinetica's extensive library of geospatial functions to perform on-demand filtering, aggregation, time-series, geo-join, and geofence analysis on massive streaming and historical geospatial data sets.
Index data using aggregations, window functions, inexact joins, and others. Graph data points by time.
Seamlessly use your relational data in a native graph context for understanding geospatial and non-geospatial relationships. Perform real-time route optimization, social network analysis, and other graph use cases using our vectorized graph algorithms.
Visualize unlimited geometry, heatmaps, and contours, leveraging GPU-accelerated server-side rendering technology. Enable your developers and business analysts to build highly interactive geospatial applications and dashboards.
Enable your developers with native and REST APIs that make it easy to integrate your application with Kinetica. Then connect your application to leading mapping providers with a standards-compliant WMS service.
Dynamic Telco Signal Analysis with Kinetica
Kinetica enables telcos to blend complex business and location data at scale to better understand network coverage.
Book a Demo!
Sometimes marketing copy can sound too good to be true. The best way to appreciate the possibilities that Kinetica brings to large-scale geospatial analytics is to see it in action, or try it with your own data, your own schemas and your own queries.
Contact us, and we can set you up with a demo and a trial environment for you to experience it for yourself.