IBM delivers solutions designed to mitigate risk and facilitate cloud adoption. In particular, organizations deploying production IBM Db2 workloads need scalable.
IBM delivers solutions designed to mitigate risk and facilitate cloud adoption. In particular, organizations deploying production IBM Db2 workloads need scalable and performant persistent storage that provides their applications with universal application and data mobility. Cloud and container-based solutions must support all of their data, without forcing arbitrary compromises.
The IBM Db2 team has spent the last several years transforming its delivery and infrastructure toward a Kubernetes-native Db2, tailored for hybrid and multi-clouds and managed by Red Hat OpenShift. One of the most important aspects of this transformation is integration with Red Hat OpenShift Container Storage.
In this blog post we will highlight the performance and validation testing completed between IBM and Red Hat Data Services engineers using Db2 Data Warehouse on the cloud (Db2WHoC) running on OpenShift Container Platform 4.3 with OpenShift Container Storage 4.3 for persistent storage.
IBM’s Db2 has been a leading enterprise database solution for years. It delivers online transaction processing (OLTP) and data warehousing services for many enterprises with critical applications running on Red Hat platforms.
In our tests, we chose the IBM Db2 Data Warehouse Multi Parallel Processing (MPP) option as complex queries underscore resource utilization (compute, memory, storage and network). It is also one of the solutions offered in IBM Cloud Pak for Data which can consume Red Hat OpenShift Container Storage through IBM Storage Suite for IBM Cloud Paks.
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