A Perfect Match for Big Data: VMware vSphere Kubernetes Service and Tanzu Greenplum

1. Speed to Value: From Weeks to Minutes 2. Operational Simplicity (Finally!) 3. Dedicated Performance with “Workload Zones” 4. Enterprise-Grade Resiliency (The “Self-Healing” Database) 5. Secure Airgap Deployments 6. Optimized Resource Consumption and Lower TCO The “TL;DR” Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Modernizing EDA Infrastructure: Lessons from Samsung’s VCF Deployment How to Converge a VMware vSphere Environment to VMware Cloud Foundation 9.0 VCF Breakroom Chats Episode 83 – Designing Developer-Loved Platforms: What is an IDP? In the world of enterprise analytics, we’ve reached a tipping point. For years, organizations have been caught in a tug-of-war between the massive processing power of traditional data warehouses and the agile, “fail-fast” nature of cloud-native development. You either had the stability of a heavyweight database or the speed of Kubernetes—rarely both at the same time. But our latest jointly validated solution on VMware vSphere Kubernetes Service (VKS) with Tanzu Greenplum highlights that compromise is officially a thing of the past. By bringing Greenplum’s massively parallel processing (MPP) engine into the world of VMware Cloud Foundation (VCF) , with an in-built CNCF-certified Kubernetes runtime, businesses are finding that these two technologies aren’t just compatible—they’re a “better together” powerhouse. Figure: VKS on VCF Ecosystem Here is why this combination is changing the game for data-driven enterprises: By using the Greenplum Operator on VKS, the provisioning of containers, configuring complex networking, managing dependencies- basically the entire lifecycle is automated.