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Kinetica Joins Confluent Partner Program and Releases Confluent Certified Connector for Apache Kafka™

By Chris Prendergast | March 13, 2017

This post has been republished from the one that originally appeared on Confluent We’re excited to announce that we have joined the Confluent Partner Program and completed development and certification of our Apache KafkaTM Connector, which lets you read and write data directly between Kafka and Kinetica’s GPU-Accelerated, In-Memory Analytics Database so you can ingest…

Kinetica and NVIDIA: What True Massive Parallel Processing (MPP) Combined with GPUs Delivers

By Chris Prendergast | February 10, 2017

Here at Kinetica, we are excited to partner with NVIDIA to drive innovation around the next big step in the evolution of big data–a trend that is garnering a huge amount of industry attention: GPU-accelerated analytics. Kinetica can perform brute-force processing on large, complex, and streaming datasets for true real-time analytics as a result of…

Advanced In-Database Analytics on the GPU

By James Dilworth | January 24, 2017

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 on several high-end databases such as Oracle, Teradata, Vertica and others, but this is the…

The Top 6 Most Common Questions about Kinetica

By James Dilworth | January 6, 2017

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 more on the ‘Frequently Asked Questions‘ page. So, what exactly is Kinetica? Kinetica is a…

GPU Computing Is Revolutionizing Real-Time Analytics For Retail, CPG, Logistics and Supply Chain

By James Dilworth | December 8, 2016

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 cases in their webinar. Their presentation is below. t Kinetica was designed to be able…

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