Google Cloud Capacity Planner vs Virtana VirtualWisdom

Google Cloud Capacity Planner shows current and forecasted use of Google Cloud resources to help teams plan capacity and quota needs. It covers Compute Engine instances, Persistent Disk and Hyperdisk volumes, GPUs, TPUs, and Cloud Storage bucket egress bandwidth. Forecasts combine linear and superlinear models, with yearly seasonality for scopes holding at least two years of usage history. Compute usage is available at P50, P75, and P99 percentiles; Cloud Storage bucket usage is shown at P100 only. Historical usage spans up to two years, forecasts up to six months, and historical forecast snapshots up to one year. Usage is sampled every five minutes and displayed within 24 hours; Overview insights refresh at least every 48 hours. Data can be exported as CSV or through the REST API to Cloud Storage or BigQuery. The API supports project, folder, and organization scopes. The service costs nothing, but billable Google Cloud resources used with it are charged separately. It is in Preview under Pre-GA terms, may have limited support, and some organizations may need to request access.

Virtana VirtualWisdom provides capacity management for infrastructure monitored with VirtualWisdom, aimed at organizations running hybrid environments and mission-critical workloads. It uses workload behavior to forecast capacity across services, track utilization across resource pools, and estimate when capacity thresholds may be reached. Users can configure capacity alarms and combine them with health and performance information in app-centric dashboards. Listed infrastructure integrations include physical Linux and Windows, VMware, Hyper-V, IBM Power VM, KVM, Nutanix AHV, and Kubernetes; ecosystem integrations include ServiceNow, Slack, AppDynamics, and Dynatrace. Capacity management is included with the monitoring license at no extra charge, while licensing also uses a base license and Wisdom Pack add-ons. The base license may be perpetual, subscription, or evaluation. Pricing is on request, and a trial is available for up to 30 days. The described trial uses an OVA deployed with VMware vSphere and lists requirements of 8 vCPUs, 32 GB memory, and 315 GB disk. VirtualWisdom is on-premises, with web, Linux, and API platforms listed.