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Seeing is Believing – Kinetica Trial Edition Now Available.

By James Dilworth | November 17, 2017

We’re excited to announce that a developer trial edition of Kinetica is now available. People who’ve seen Kinetica are consistently astounded at the performance of a database built from the ground up to leverage GPUs. With customers, we repeatedly see scenarios where queries that once took several minutes with traditional analytics systems now return in…

Powering Real-Time Big Data Analytics with a Next-Gen GPU Database

By Dipti Borkar | November 7, 2017

When looking at Kinetica, the thought that may cross your mind is, “Don’t we have enough analytical databases and technologies out there? Why one more?” Well, last week I had the pleasure of presenting with Matt Aslett of 451 Research on powering real-time big data analytics with a GPU database. Let me give you the CliffsNotes…

Kinetica v6.1 is Now Available

By Nima Negahban | October 10, 2017

We’re excited to announce the release of Kinetica, version 6.1 – our second major release of the year. Among the many improvements are enhanced geospatial processing, GPU-accelerated visualizations, added SQL capabilities, a re-worked administration experience and greatly simplified deployment. This release will give our customers more capabilities for analytics at speed and at scale. Let’s…

The AI Database – A Prerequisite to Operationalizing Machine and Deep Learning

By Mark Johnson | October 4, 2017

These notes are from our recent webinar, “The AI Database – A Prerequisite to Operationalizing Machine and Deep Learning.” with guest Speaker, Mike Gualtieri, VP & Principal Analyst for Forrester, and Kinetica’s Mate Radalj, VP of Advanced Technology Solutions The world of AI is changing life as we know it. From building smart cities to…

GPU Acceleration Enables Location-Based Analytics at Scale

By Nohyun Myung | September 29, 2017

We exist in a world where data is being generated at an exponential rate. Many of these datasets contain time and location information that provide context to the data. Location is the glue that enables us to see new patterns from growing collections of information. Most notably, location-aware datasets also allow us to discover patterns…

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