Comparison Guide

DoiT Cloud Intelligence™ vs. Broadcom VMware CloudHealth

A side-by-side comparison between DoiT Cloud Intelligence and Broadcom VMware CloudHealth shows the true value of DoiT’s unified multicloud approach and end-to-end cloud optimization offering.

Learn more about how DoiT Cloud Intelligence combines advanced, AI-driven technology with human intelligence and expertise to turn endless “good ideas” into real outcomes.

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Modern FinOps for
Cloud-Native Teams

Learn how DoiT Cloud Intelligence compares to Broadcom VMWare CloudHealth when it comes to delivering real-time cost visibility, automated savings, and embedded FinOps expertise.

Essential FinOps capabilities

Multicloud support

Comprehensive native support for AWS, Google Cloud, and Azure, with consistent FinOps workflows and embedded expert guidance across all three

Billing-focused integration across AWS, Google Cloud, OCI, and Azure, which leads to workflows and governance models primarily optimized for centralized, finance-led IaaS use cases.

Cost Allocations

Flexible, tag-based allocation and custom attribution groups, including for 3rd party data - allowing dynamic cost segmentation

“Perspectives” to define nested business hierarchies for cost allocation and showback, with limited flexibility for developer use cases

Third-party cost ingestion

Integrates with Snowflake, Datadog, BigQuery, and other services to ingest non-cloud-native spend with DoiT DataHub and expose broadened cost context.

Supports integrations with a set of third-party monitoring and automation tools, but these are mostly telemetry-focused and don’t support ingesting custom business context or generalized IT spend from external SaaS tools

Real-Time Anomaly Detection

Persistent ML-based streaming analytics for anomaly detection, flagging cost spikes and unusual usage in near real time

Scheduled data ingestion combined with anomaly alerts, indicating a lack of full real-time detection tied to live telemetry

Advanced FinOps capabilities

Expert accessibility

On-demand access to hundreds of global senior cloud architects with no pre-purchased hour requirements

Expert access is gated by plan level or offered via channel partners, with limited real-time availability

AI/LLM Capabilities

Contextual FinOps and cloud optimization assistant that answers platform-related questions and surfaces insights across modules

LLM-based chatbot that helps users generate reports and understand recommendations

Taking action on recommendations and insights

Automate execution of recommendations and insights via CloudFlow, or leverage Jira for customized tracking and implementation from within the platform

Lacks native workflows for automating recommendation execution, remediation or tracking

Kubernetes visibility

DoiT provides complete visibility across every cluster in your infrastructure, and the ability to quickly drill down into individual services, workloads and containers that need your attention

K8s rightsizing insights but lacks namespace-level or service-level visibility and attribution

Automated Kubernetes rightsizing

Flexsave for Kubernetes to slash costs via autonomous optimization and rightsizing

Rightsizing recommendations but requires manual implementation—no automated optimization available

Support & Services

Architecture mapping

Real-time, auto-generated resource maps with cost and performance overlays to help FinOps and DevOps teams reduce MTTR

No native architectural visualization and resource topology mapping capabilities

Training & enablement

Strategic guidance and virtual learning engagements delivered by cloud-certified trainers, with continuous support to uncover blind spots in multicloud operations

Limited partner-led enablement or paid services—thereby missing the benefits of embedded training models for platform teams.

Essential FinOps capabilities

Multicloud support

Comprehensive native support for AWS, Google Cloud, and Azure, with consistent FinOps workflows and embedded expert guidance across all three

Billing-focused integration across AWS, Google Cloud, OCI, and Azure, which leads to workflows and governance models primarily optimized for centralized, finance-led IaaS use cases.

Cost allocation & visibility

Flexible, tag-based allocation and custom attribution groups, including for 3rd party data - allowing dynamic cost segmentation

“Perspectives” to define nested business hierarchies for cost allocation and showback, with limited flexibility for developer use cases

Third-party cost ingestion

Integrates with Snowflake, Datadog, BigQuery, and other services to ingest non-cloud-native spend with DoiT DataHub and expose broadened cost context.

Supports integrations with a set of third-party monitoring and automation tools, but these are mostly telemetry-focused and don’t support ingesting custom business context or generalized IT spend from external SaaS tools

Savings recommendations

DoiT identifies savings recommendations for all three major clouds as well as Snowflake and Datadog.

CloudZero’s savings recommendations are limited to AWS, and most are already available in Cost Explorer.

Advanced FinOps capabilities

Taking action on FinOps recommendations

DoiT users can leverage automated workflows to take immediate action on recommendations, or create Jira tickets and track progress directly in the DoiT console.

CloudZero only offers recommendations.

Real-Time Anomaly Detection

Persistent ML-based streaming analytics for anomaly detection, flagging cost spikes and unusual usage in near real time

Scheduled data ingestion combined with anomaly alerts, indicating a lack of full real-time detection tied to live telemetry

Expert accessibility

On-demand access to hundreds of global senior cloud architects with no pre-purchased hour requirements

Expert access is gated by plan level or offered via channel partners, with limited real-time availability

AI/LLM Capabilities

Contextual FinOps and cloud optimization assistant that answers platform-related questions and surfaces insights across modules

LLM-based chatbot that helps users generate reports and understand recommendations

AI Assistant

Contextual FinOps and cloud optimization assistant that answers platform-related questions and surfaces insights across modules

Recently-launched LLM-based chatbot that helps users generate reports and understand recommendations

Taking action on recommendations
and insights

Automate execution of recommendations and insights via CloudFlow, or leverage Jira for customized tracking and implementation from within the platform

CloudHealth provides recommendations for savings and governance but lacks native workflows for automating remediation or tracking progress

Support & Services

Kubernetes visibility

DoiT provides comprehensive visibility across clusters in your infrastructure, and the ability to quickly drill down into individual services, workloads and containers that need your attention

Kubernetes rightsizing insights but lacks namespace-level or service-level visibility and attribution

Automated Kubernetes rightsizing

PerfectScale for Kubernetes to slash costs via autonomous optimization and rightsizing

Rightsizing recommendations requiring manual implementation—no automated optimization

Architecture mapping

Real-time, auto-generated resource maps with cost and performance overlays to help FinOps and DevOps teams reduce MTTR

No native architectural visualization and resource topology mapping capabilities

Training & enablement

Strategic guidance and virtual learning engagements delivered by cloud-certified trainers, with continuous support to uncover blind spots in multicloud operations

Limited partner-led enablement or paid services—thereby missing the benefits of embedded training models for platform teams.

Why customers choose DoiT over CloudHealth

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Built-in human expertise

DoiT Cloud Intelligence Enterprise includes direct access to senior Cloud Reliability Engineers at no extra cost. These experts offer 1:1 architectural guidance, workload tuning, and tailored enablement sessions. Engagements are tightly integrated into the platform experience - no tickets, no third-party handoffs, and no pre-purchased blocks of hours required.

Frictionless Execution—Not Just Recommendations

DoiT automatically executes on recommendations and insights through DoiT’s Flexsave, PerfectScale and CloudFlow capabilities, enabling teams to take direct action - such as Kubernetes rightsizing changes or creating ITSM tickets - from within the platform. Recommendations can be tracked end-to-end, making optimization a closed-loop process rather than a static report.

Unmatched Real-time visibility

DoiT ingests cloud billing data continuously using a streaming architecture, which allows for near real-time anomaly detection and usage tracking. Cost insights and budget thresholds are evaluated against live data—not delayed exports—giving FinOps and engineering teams immediate context to act on cost spikes, misconfigurations, or unexpected usage.

“DoiT has been an invaluable partner in optimizing and improving our cloud infrastructure. We were initially shocked by how quick and professional their support was - it truly makes a difference. On top of that, their reporting tools have provided us with great insights into our cloud costs, leading to significant savings and smarter decision-making.”

Andreas Fürst, Co-Founder and CTO at Limina

“DoiT’s expertise in AWS cost optimization has been a game-changer for us. With their help, we saved 32% annually and gained critical insights into our cost structure. Working with DoiT has significantly improved our budgeting and forecasting capabilities, allowing us to focus more on innovation and growth. The DoiT team has been an absolute joy to work with and I have learned so much from this process!”

Peter Agelasto Cofounder and CTO, Starchive

Let’s do it

From cost optimization to cloud migration, machine learning and CloudOps,
we’re here to make the public cloud easy.

From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.

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