An Intellyx Brain Candy Update
When we last covered Yellowbrick in November 2019, its story focused on how it was able to implement data warehouses in hybrid cloud/on-premises environments to address issues of data gravity, compliance, and security without sacrificing high performance.
Today, Yellowbrick has moved to a cloud-native model – not simply embracing Kubernetes, but leveraging it to extend beyond hybrid clouds to what it calls ‘distributed clouds,’ which include private and public clouds, edge data centers, as well as hybrid (adding on-premises to the mix).
Yellowbrick has traditionally offered an optimized, tuned hardware/software combination for maximum performance. It can now extend this value proposition to public clouds by running in specialized cloud instances that offer the particular processor and memory combinations that support Yellowbrick’s high performance data warehouse.
To further augment its high-performance story, Yellowbrick has recently launched a ‘second generation’ optimized instance for high-performance use cases in private clouds – along with private links to public clouds.
Copyright © Intellyx LLC. Intellyx publishes the Cloud-Native Computing poster, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, none of the organizations mentioned in this article are Intellyx customers. To be considered for a Brain Candy article, email us at pr@intellyx.com.
