Comments on: US Air Force Spends $100 Million To Accelerate Data Warehouses https://www.nextplatform.com/2021/02/04/us-air-force-spends-100-million-to-accelerate-data-warehouses/ In-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale data centers, and public clouds. Fri, 12 Feb 2021 03:54:05 +0000 hourly 1 https://wordpress.org/?v=6.7.1 By: Don https://www.nextplatform.com/2021/02/04/us-air-force-spends-100-million-to-accelerate-data-warehouses/#comment-160155 Fri, 12 Feb 2021 03:54:05 +0000 http://www.nextplatform.com/?p=137842#comment-160155 Who else has trillion row capabilities with the fused value add of real time, geospatial, and operationalizing AI/ML on an analytics platform?

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By: Jim Scott https://www.nextplatform.com/2021/02/04/us-air-force-spends-100-million-to-accelerate-data-warehouses/#comment-160025 Fri, 05 Feb 2021 23:38:33 +0000 http://www.nextplatform.com/?p=137842#comment-160025 Kinetica is one of the few technologies out there (and we have tried many for our financial firm) that can actually scale to trillion row datasets and produce fast results.

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By: Data expert https://www.nextplatform.com/2021/02/04/us-air-force-spends-100-million-to-accelerate-data-warehouses/#comment-160024 Fri, 05 Feb 2021 23:08:44 +0000 http://www.nextplatform.com/?p=137842#comment-160024 That’s interesting, I’ve also been using Kinetica for use cases like this and have found it exemplary. It’s actually quite ahead of the field from our experience, you should probably try again.

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By: Ian Michale Gumby https://www.nextplatform.com/2021/02/04/us-air-force-spends-100-million-to-accelerate-data-warehouses/#comment-160018 Fri, 05 Feb 2021 16:17:22 +0000 http://www.nextplatform.com/?p=137842#comment-160018 As someone who’s worked with Kinetica systems and big data…
I’m a bit concerned.

There are definitely issues w scalability and performance.
There are better alternatives out there.

The US Government is usually a decade behind on stable tech. They should be help pushing the envelope when possible.

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