Kinetica Blog

Introduction For companies engaged in oil and gas exploration, getting fast access to high resolution data is an important enabler for finding the right locations to drill a well before their competitors....

The problem is widely felt. As data collection has mushroomed, traditional data systems struggle to produce timely alerts to problems and other real time events....

Spatial data analysis is computationally intensive. Most solutions grind to a crawl at a few million points....

Our sat nav gives us options of the shortest route home, or avoiding tolls or highways. But what if we want the most scenic route home, or the most well-lit? Learn how to do this using a road networks as graphs, geo-spatial features as graph networks and graph optimizations.

Geospatial data is any data that has a geographic component to it. A geographic component simply implies a location (or a set of locations) that can take the form of simple points on a map with latitude and longitude coordinates or more complex shapes that describe lines and boundaries, or even elevation....

Multiple Supply Demand Chain Optimization (MSDO), is a common logistical problem where there are multiple sources and sinks and you're looking for the most optimal delivery routes.

In this tech note, we’ll examine various data visualizations in Kinetica. In general, a typical data set might have both spatial and temporal components, called spatio-temporal. The nature of the spatial data variation is usually continuous.

Recently, a top 3 global retailer was able to reduce run times for a strategic analytic application from days on Alteryx to just 22 seconds using Kinetica....

Data is a critical part of modern businesses. Almost all of our interactions with businesses – online or otherwise- end up touching a business decision system that is based on data....

For major retail companies, it is a crucial challenge for the business control center to know each store’s in-stock quantities in real time....