Starburst Enterprise on Red Hat
Discover how Starburst integrates with Red Hat OpenShift to provide robust, scalable data analytics capabilities for enterprise environments. This powerful combination ensures seamless access to distributed data, delivering insights faster while maintaining enterprise-grade security and reliability.
Starburst Enterprise on Red Hat Openshift
Starburst Enterprise integrates with the scalable cloud storage and computing services provided by Red Hat OpenShift with a more stable, secure, efficient, and cost-effective way to query all your enterprise data, wherever it resides.
Starburst Enterprise gives you the freedom to interrogate diverse data sets wherever they are located, without building separate data warehouses. Instantly and simultaneously query data in a Red Hat Ceph Storage data lake, a SQL or NoSQL database running on Red Hat OpenShift Container Storage, and many other environments.
Combining Starburst Enterprise with Red Hat OpenShift Container Platform offers automation, high availability, elasticity, and monitoring for Trino (formerly Presto® SQL) clusters. Starburst is also available on the Red Hat Marketplace.
Automation
Starburst and Red Hat OpenShift operators provide auto-configuration, auto-tuning, and auto-management of clusters. The Red Hat OpenShift operator determines what to deploy, including identifying the hardware and provisioning new instances. The Starburst operator manages updates to the environment.
High availability & graceful scaledown
Continuous operation of the Trino Coordinator is essential to delivering business value. Using liveness proves, the Red Hat OpenShift load balancer can keep services like the Trino Coordinator in an always-on state. Reduced load doesn’t mean system downtime or killed queries. The Kubernetes HPA will gracefully scaledown and decommission unused Trino worker pods and free system resources for other tasks without an interruption in service.
Elastic scalability
Red Hat OpenShift can automatically scale the Trino worker cluster based on query load. Using the Kubernetes Horizontal Pod Autoscaler (HPA), organizations can specify thresholds for Trino worker pods. As the number of queries increases, the HPA will automatically spin up additional Trino worker pods based on specified system constraints.
Try Starburst on Red Hat OpenShift
Get started with Starburst on Red Hat Openshift and use Trino to query any data source, of any size.
