# PointFive vs. CloudHealth: cloud and AI efficiency compared Canonical: https://www.pointfive.co/compare/cloudhealth A PointFive-authored comparison of CloudHealth and PointFive OS, covering documented capabilities and evaluation criteria. Compare documented capabilities, operating requirements, and the path from investigation to action. [Book a demo](https://www.pointfive.co/request-demo) [Platform overview](https://www.pointfive.co/products/pointfive-os) ## The bottom line CloudHealth is a strong choice for enterprises and MSPs that need multi-cloud reporting, policy-driven governance and partner billing. PointFive is the better fit when the goal is finding deep waste across cloud, data, and AI and getting it fixed, with AI agent usage governed in the same platform. ### Choose PointFive if - You need detection depth beyond rightsizing: 500+ deep detections across 40+ platforms - You want engineers to review generated fixes in their IDE, or Coworkers to run approved changes - You need to govern and optimize AI agent usage with TokenShift, not only track token costs ### Choose CloudHealth if - You are an MSP or reseller needing multi-tenant partner billing across AWS, Azure and Google Cloud - You want policy-driven waste workflows that route tickets to Jira Cloud, email or webhooks - You want AI and token cost tracking across AWS, Azure and Google Cloud AI services ## CloudHealth by Broadcom CloudHealth provides cloud cost management, rightsizing recommendations, and policy-based actions. Its documentation describes using performance metrics and granting additional permissions for automation. ## What to evaluate with CloudHealth ### Workflow fit Compare the resource evidence, policy actions, permissions, and engineering workflow needed for your environment. ### Evidence and scope Compare the exact product, version, integration, and permissions. Published documentation does not establish equal performance or universal feature availability. ### Measured outcomes Use representative workloads to measure implemented savings, quality, reliability, and operating effort. A recommendation or advertised saving is not a realized result. ## How PointFive compares to CloudHealth | Capability | PointFive | CloudHealth | | --- | --- | --- | | Documented focus | - PointFive OS connects infrastructure context with investigation, optimization, and customer-defined automation. | - CloudHealth provides cloud cost management, rightsizing recommendations, and policy-based actions. Its documentation describes using performance metrics and granting additional permissions for automation. | | Operating requirements | - Discovery uses read-only access. Infrastructure changes use customer-authorized write access, under the approval model each customer chooses. | - Read-only IAM access at minimum; optional additional permissions enable Policy Engine actions | | AI product scope | - TokenShift complements PointFive OS with AI-agent visibility, governance, and optimization. | - AI & Tokenomics Dashboard for AI-related cloud costs and token consumption | ### Documented focus PointFive - PointFive OS connects infrastructure context with investigation, optimization, and customer-defined automation. CloudHealth - CloudHealth provides cloud cost management, rightsizing recommendations, and policy-based actions. Its documentation describes using performance metrics and granting additional permissions for automation. ### Operating requirements PointFive - Discovery uses read-only access. Infrastructure changes use customer-authorized write access, under the approval model each customer chooses. CloudHealth - Read-only IAM access at minimum; optional additional permissions enable Policy Engine actions ### AI product scope PointFive - TokenShift complements PointFive OS with AI-agent visibility, governance, and optimization. CloudHealth - AI & Tokenomics Dashboard for AI-related cloud costs and token consumption ## How PointFive OS approaches the work ### DeepWaste detection engine 500+ research-driven detections across compute, storage, databases, Kubernetes, networking, and AI workloads, with new research informing the detection catalog. ### Agentic remediation AI agents help investigate findings and prepare or execute remediation. Infrastructure changes require customer-authorized write access and approval. IDE-native prompt remediation follows the engineer's own workflow. ### AI & data platform optimization Investigate usage, configuration, and cost across connected cloud, AI, and data platforms. Evaluate optimization opportunities using the available evidence and supported operations. ### Pointer & MCP server Work with Pointer, the AI agent in the Chat module of PointFive OS. MCP Server integration brings optimization into developer IDEs and AI tools. ## Sources and evaluation The documentation behind this comparison, and what to validate in your own environment. ### How this comparison was prepared Written by PointFive using publicly available vendor documentation. This comparison describes documented capabilities; it is not an independent test of product performance. ### What to check during evaluation Confirm the product version and edition, supported integrations, and required permissions. Test with representative workloads to assess results and the effort involved for your team. ### Referenced documentation Sources checked Sep 29, 2026 - [CloudHealth Partner Platform techdocs.broadcom.com (opens in a new tab)](https://techdocs.broadcom.com/us/en/ca-enterprise-software/it-operations-management/cloudhealth/saas/index/working-with-partner-platform-of-tanzu-cloudhealth-working-with-partner-platform/working-with-partner-platform-of-tanzu-cloudhealth-how-cloudhealth-helps-partners.html) - [CloudHealth product updates, July 2026 community.broadcom.com (opens in a new tab)](https://community.broadcom.com/blogs/tj-march/2026/08/04/fresh-from-the-labs-july-2026) - [CloudHealth permissions and actions knowledge.broadcom.com (opens in a new tab)](https://knowledge.broadcom.com/external/article/284345/importance-of-iam-roles-and-permissions.html) - [CloudHealth volume rightsizing knowledge.broadcom.com (opens in a new tab)](https://knowledge.broadcom.com/external/article/284475) - [CloudHealth AI & Tokenomics Dashboard techdocs.broadcom.com (opens in a new tab)](https://techdocs.broadcom.com/us/en/ca-enterprise-software/it-operations-management/cloudhealth/saas/index/exploring-cloudhealth-new-experience-exploring-cloudhealth-index/exploring-the-ai---tokenomics-dashboard.html) ### Customer perspectives Rated 4.9/5 on G2 from 32 reviews. [Read PointFive reviews on G2 (opens in a new tab)](https://www.g2.com/products/pointfive-2024-08-28/reviews) ## PointFive vs. CloudHealth, answered ### Is PointFive a CloudHealth alternative? Yes. CloudHealth is a strong choice for enterprises and MSPs that need multi-cloud reporting, policy-driven governance and partner billing. PointFive is the better fit when the goal is finding deep waste across cloud, data, and AI and getting it fixed, with AI agent usage governed in the same platform. ### How is PointFive different from CloudHealth? PointFive OS combines infrastructure investigation with customer-defined automation and approved remediation. Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all. Evaluation consideration: Compare the resource evidence, policy actions, permissions, and engineering workflow needed for your environment. ### Which PointFive OS capabilities should I evaluate? Evaluate these PointFive OS capabilities against your requirements: DeepWaste detection engine, Agentic remediation, AI & data platform optimization, Pointer & MCP server. ### Does PointFive cover AI workloads and data platforms? Yes. PointFive OS investigates usage, configuration, and cost across 40+ cloud, data, and AI platforms, and TokenShift complements it as the AI agent control plane for your employee workstations. See the coverage directory for the full list. ### What access does PointFive OS need? Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all. Connection, ingestion, investigation, implementation, and verified savings are separate milestones; their timing depends on the environment. The comparisons above are for informational purposes only and are based on publicly available information and subjective opinions at the time of publication. While we strive to ensure accuracy and fairness, we are unable to guarantee that all information is complete, current, or free from errors. Comparisons may not reflect all features, performance metrics, or variations of the referenced services, and individual results may vary. We encourage visitors to independently verify any information and conduct their own research before making purchasing decisions. --- Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.