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How to Explain GPUs to Your CEO

By Andrew Wooler | December 13, 2017

It’s no wonder we are in the midst of a major IoT (Internet of Things) boom when you consider that IoT-enabled products can solve business problems and predict failures far faster than ever imagined. But all this potential is just theory if you don’t have enough processing power to analyze all of your data. Beyond…

Towards a Next-Generation Foundation for Managing Real-Time Data

By Paul Appleby | December 11, 2017

<Hello world!> My name is Paul Appleby and I’m thrilled to be taking on the role of CEO at Kinetica. I couldn’t be more excited about the opportunity as how we manage data is at the epicenter of the 4th Industrial Revolution, impacting every industry and every region across the globe. When I was at…

Kinetica’s Ridiculously Fast Ingest – A Speed Layer for Hadoop

By Gopal Raghavan | December 5, 2017

What if you could hydrate billions of rows per minute from a data lake, as needed, into a powerful, flexible high-performance analytics speed layer? Hadoop and cloud-based object stores (such as S3 and ADLS) have become the de facto stores for the vast volumes of data generated by modern business. Query frameworks such as Hive,…

10 Reasons Why Kinetica Rocks for Analytics

By Dipti Borkar | December 1, 2017

Today’s analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. Kinetica meets these needs with its GPU-accelerated analytical database for real-time insights on large and streaming datasets. We believe that there are still many people who might not know much about Kinetica. Are you one of them? Continue reading—there are…

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…

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