Algomox ITMox vs Google Cloud Capacity Planner
Algomox ITMox
algomox.comGoogle Cloud Capacity Planner
cloud.google.comSide by side
| Figure | Algomox ITMox | Google Cloud Capacity Planner |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 1 |
| Spec score · IT Capacity Management Software | 7.6 (#10) | 7.6 (#12) |
| Purpose | ITMox is an AI-native AIOps platform spanning observability, incident intelligence, service management, cloud and infrastructure automation, and asset intelligence. | Capacity Planner shows current and forecasted use of Google Cloud resources to help plan future capacity and quota needs. |
Plans
In their own words
Algomox ITMox
Algomox ITMox is an AI-native AIOps platform covering observability, incident intelligence, service management, cloud and infrastructure automation, and asset intelligence. Its portfolio lists more than 25 capabilities across storage, compute, network, cloud, and data center domains. Norra reads signals or tickets, retrieves topology and CMDB context from MoxDB, selects a fix, executes it through ITMox or existing tools, and verifies the outcome. The platform supports demand forecasting and what-if scenarios. Integration options include prebuilt connectors, open APIs, lightweight collectors, bidirectional ITSM and CMDB synchronization, event ingestion, workflow orchestration, and webhooks. Connector examples include Prometheus, Grafana, Datadog, Splunk, ServiceNow, Jira, AWS, Azure, Kubernetes, CrowdStrike, Okta, Slack, and Microsoft Teams. Deployment can be SaaS, on-premises, or air-gapped, with hybrid deployment also listed. Controls include RBAC, approval workflows, policy guardrails, immutable audit logs, data residency controls, and zero data egress for on-premises or air-gapped setups. Pricing is available by contacting Algomox; a three-day trial is listed.
Google Cloud Capacity Planner
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.