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How to Simplify Streaming Analytics Using a GPU-Accelerated In-Memory Database

By Michele Nemschoff | November 14, 2016

Companies are facing some significant challenges when it comes to simplifying their streaming architectures. To address these challenges, organizations are turning to Kinetica’s GPU-Accelerated database to perform brute force analytics. Both Amit Vij, CEO of Kinetica, and Mike Perez, VP of Services, explaisned more on this in their presentations at Strata + Hadoop World 2016.…

Accelerate Your Successful Kinetica Deployment with These Two New Programs

By Mike Perez | October 31, 2016

We are excited to announce our Install Accelerator and Application Accelerator programs. These are brand new software and services offerings that will help you deploy and integrate your Kinetica GPU-accelerated database within your enterprise environment and deploy your next-generation application. I encourage you to take advantage of these new programs to accelerate the configuration of…

Embracing Real-time Streaming Data

By Amit Vij | October 28, 2016

The data connectivity world is changing rapidly, with a firehose of data streaming in from devices, people, and channels. How can organizations act on all of that data? We created Kinetica for those competitive organizations who need to leverage big, fast, data in order to remain leaders in their industry. How did Kinetica come about…

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