As a retailer, you most likely are viewing data in some form to help you make decisions, but is that information in the most effective format? Kinetica can enable new ways to analyze data, from quickly performing product category-specific queries, to drilling down into a particular geographic area to get a more enhanced sales picture. Instead of using legacy BI systems to provide you with historical data, you can use Grovf to visually understand aspects such as shopping trends based on real-time IoT data. And since full compute and analytic capability is provided with Kinetica, you don’t have to re-design or de-normalize your data in order to zoom in on a market, compare store sales by location, or get the big picture across your entire operation.
faster stream analytics
Security Log Analytics
Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative.
Cybersecurity brings dual challenge of low-latency detection and remediation of advanced threats, and batch analysis of log data from servers, firewalls, applications and security systems. Considering how fast new threats and attacks emerge, Big Data performance and the use of new types of software and hardware accelerators is becoming more critical.
Technology is essential to giving organizations and individuals the computer security tools needed to protect themselves from cyber attacks. Three main entities must be protected: endpoint devices like computers, smart devices, and routers; networks; and the cloud.
Grovf's text processing FPGA cores and Open source software SDK provide a effortless way to use powerful FPGA devices for vast amount of security log analysis.
FPGA's powered with Grovf's Regex, Exact Search and Similiarity Search functions provide to organizations to analize hundreds of megabytes of data in real-time and detect security alerts.