GPU Database


Location-Based Analytics

Kinetica, a high-performance GPU-accelerated database, comes with powerful tools for visualizing large geospatial datasets.

Recent Webinar: Advanced Analytics and Machine Learning with Geospatial Data Watch Now »

For Complex Geospatial Questions

Kinetica was designed from the ground up for analytics and visualization of massive geospatial datasets, capable of catering to the needs of the US military.

Geospatial Objects

Kinetica was originally designed to power large-scale geospatial queries and natively supports points, shapes as WKT, tracks, and labels.

Inbuilt Geospatial Operations

Kinetica REST API provides a range of geospatial functions, including tools to filter data by area, by track, or custom shape. Create histograms and scatter plots or generate video for data changing in both space and time.

Real-time Visualization

Kinetica leverages GPU hardware acceleration for incredibly fast query performance and visualization of geospatial data. Its distributed design is ideal for processing large and streaming datasets.

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.

Geospatial Analytics Pipeline

Try the Demo

Kinetica comes with Reveal, a web-based BI framework that makes it quick and easy to start exploring geospatial data. Reveal also connects with Kinetica's geospatial pipeline for advanced mapping and interactive location-based analytics.


Get a Demo

Datasets to Explore!

Half a dozen datasets provide opportunities to experience the speed and flexibility of Kinetica.

Who's travelling where in NYC?

New York City made available a vast dataset on every cab ride taken in the city, from pickup to drop-off between 2009 and 2015. Kinetica is the right database for interactive queries on large volumes of high cardinality data such as this.

Explore 4bn Tweets

Billions of geospatially coded tweets provide opportunities to analyze consumer sentiment from different regions and over time. Kinetica geospatial pipeline makes it quick to interact with large numbers of individual results on a map.

FAA Flight Data

With over 2bn location points from flights across the continental US, this dataset is great for analysis of flights based on altitude, duration, and speed. Explore popular destinations for private jets, or recognize restricted airspace.

Related Resources

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.