Kinetica in Motion

The Kinetica Blog
James Dilworth

Advanced In-Database Analytics on the GPU

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 …

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James Dilworth

The Top 6 Most Common Questions about Kinetica

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 …

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Mark Johnson
Mark Johnson

IoT Trends Call For GPU-Accelerated Solutions

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 …

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Eric Mizell
Eric Mizell

Kinetica’s APIs and Connectors

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 …

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Mike Perez
Mike Perez

Accelerate Your Successful Kinetica Deployment with These Two New Programs

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. …

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