Kinetica in Motion
GPU-accelerated computing is one of the hottest trends among technology companies here in Silicon Valley. Companies including Google and Facebook are building out huge data centers leveraging parallel compute for machine learning, deep learning, and accelerated compute. Being able to …Read More
With Version 6.0, Kinetica introduces user-defined functions (UDFs), enabling GPU-accelerated data science logic to power advanced business analytics, on a single database platform.
User-defined functions (UDFs) enable compute as well as data-processing, within the database. Such ‘in-database processing’ is available …Read More
You have questions. We have answers! As we pave a new market for hardware-accelerated databases, we’re frequently running into the same questions with eager-to-learn prospects and researchers. Here are some of the most popular ones, and you can find many …Read More
With 2016 coming to a close, we’re seeing a proliferation of “big data prediction” reports coming out nearly every day. You’re probably wondering which trends will actually come to a fruition and have an impact on your industry. As a …Read More
Kinetica’s recent webinar with NVIDIA discussed using GPUs to efficiently and quickly ingest, explore, and visualize streaming datasets in new commercial use cases. Mark Brooks, Principal Systems Engineer, and NVIDIA’s John Barco, Senior Director of Partner Solutions, detailed these use …Read More
Kinetica was built from the ground up with a native REST API, enabling both SQL-92 query capability and a wide variety of open source connectors and APIs. This post shows just how easy it is to interact with Kinetica through …Read More
How do you uncover terrorist threats from billions of different signals when time is of the essence? This was the challenge faced by the US Army Intelligence and Security Command eight years ago. It is the challenge that became the …Read More
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 …Read More