Automated and dynamic cloud bursting
Based on policy and workloads demand, additional resources are automatically added and removed from your cluster with support for a hybrid mix of on-premises and cloud hosts.
Single-pane management and monitoring
Simplify administration across a scale-out, distributed infrastructure.
Spark lifecycle management
Support simultaneous deployment of different versions of Spark.
Use independent scaling of compute and storage infrastructure, along with flexible allocation of resources according to application requirements for compute resources and memory.
Utilize the integrated Spark distribution.