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8 Trends in High-Performance Analytics – Insights from Forrester

By Michele Nemschoff | April 24, 2017

Forrester, as a guest of Kinetica, held a webinar this month about how digital business is driving rapid expansion and sophistication of data and insight, and why it’s necessary to augment traditional CPU-bound analytics with GPUs, in-memory processing, and machine learning. Michele Goetz, Principal Analyst at Forrester Research, and Kinetica’s Manan Goel, VP of Products…


Access Geospatial and over 350 Other Data Sources with Kinetica and Safe Software

By Chris Prendergast | March 29, 2017

We’re thrilled to announce that we have partnered with Safe Software to create FME connectors that make it possible for you to easily read and write data from Kinetica into and out of FME workspaces. If you’re a current FME customer, this means you can now move your Esri data into Kinetica so that you…


How GPU Database Technologies Are Shaping the Future of Data and Analytics

By Michele Nemschoff | March 27, 2017

Kinetica recently held a webinar to share how a GPU Database stands to help enterprises capture, analyze, and act on data in real time. Jim Curtis, Senior Analyst for 451 Research, and Kinetica’s Manan Goel, VP of Products, detailed how GPUs are enabling new commercial and consumer applications in databases, artificial intelligence, and real-time analytics.…


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…


Highlights from the New Bay Area GPU-Accelerated Computing Meetup with NVIDIA

By Mark Johnson | February 16, 2017

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 share knowledge, ideas, and experiences is one of the great things about being in a…

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