Comparison Guide

DoiT Cloud Intelligence™ vs. IBM Apptio

Stuck with high-cost enterprise software that’s slow to adapt? See how DoiT delivers a modern alternative to IBM Apptio with built-in automation, real-time anomaly detection, deeper Google Cloud coverage, and direct access to cloud architects – all in one unified platform.

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Modern FinOps for
Cloud-Native Teams

Learn how DoiT Cloud Intelligence compares to IBM Apptio when it comes to enabling FinOps, engineering, and finance teams with AI-driven automation, flexible cost attribution, and embedded cloud expertise. Unlike Apptio’s enterprise-heavy tools, DoiT goes beyond dashboards and reports to deliver actionable optimization and measurable business impact – at any scale.

Essential FinOps capabilities

Multicloud support

Built for multicloud. Advanced insights and optimization across AWS, Google Cloud, and Azure with unified billing, procurement and automation.

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Full support for AWS, Google Cloud, and Azure visibility. Optimization depth is skewed toward AWS.

Cost allocation & visibility

Business-grade allocation. Unit economics, shared-resource splitting, and DataHub for custom attribution by cost center, owner, customer, or feature – at hourly granularity.

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Mature allocation features (Virtual Tagging, Cost Segments). Good for finance-driven models, but less flexible for complex shared-service or engineering use cases.

Cost anomalies

Real-time anomaly detection with SKU-level precision, root-cause context, and recommended actions. Can trigger workflows via CloudFlow.

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Cross-cloud anomaly detection, but mostly alerts. Limited context, no embedded remediation or prescriptive recommendations.

Taking action on FinOps recommendations

Users can take immediate action via CloudFlow automation or execute optimizations directly from the platform. Integrates with Jira and other workflows for tracking

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Advanced FinOps capabilities

Kubernetes visibility

Deep Kubernetes cost visibility, with drill-down by namespace, workload, container, and alignment of cost to team, feature, or deployment.

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Vantage offers granular Kubernetes allocation & visualization down to the pod level.

Automated Kubernetes optimization

DoiT’s PerfectScale for Kubernetes to slash costs via autonomous optimization and rightsizing

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Rightsizing recommendations requiring manual implementation. No native rightsizing or autoscaler-aware optimization

Architecture mapping

Cloud Diagrams auto-generate real-time architecture maps with cost overlays to speed troubleshooting and governance.

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No native resource-topology visualization.

GenAI capabilities

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

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No built-in conversational AI capabilities. MCP server available to analyze data externally through LLMs.

FinOps and CloudOps Advisory

Driving innovation

DoiT customers get 24/7 access to 200+ cloud experts who not only help spot hidden architectural inefficiencies, but also consider your long-term business objectives to suggest new services that better fit current or anticipated use cases.

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No embedded expert advisory services. Any architectural guidance requires external consultants or in-house resources.

Training & enablement

Strategic guidance, virtual learning sessions led by certified trainers, and continuous support to address blind spots in AWS, Google Cloud, and Azure operations.

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No dedicated training or enablement program. Self-service documentation and a Slack community are available, but there’s no formal curriculum or expert-led onboarding.

DoiT Cloud Intelligence™
APPTIO an IBM Company
cloud-services

Essential FinOps capabilities

Multicloud support

Built for multicloud. Advanced insights and optimization across AWS, Google Cloud, and Azure with unified billing, procurement and automation.

Full support for AWS, Google Cloud, and Azure visibility. Optimization depth is skewed toward AWS.

Cost allocation & visibility

Business-grade allocation. Unit economics, shared-resource splitting, and DataHub for custom attribution by cost center, owner, customer, or feature – at hourly granularity.

Mature allocation features (Virtual Tagging, Cost Segments). Good for finance-driven models, but less flexible for complex shared-service or engineering use cases.

Cost anomalies

Real-time anomaly detection with SKU-level precision, root-cause context, and recommended actions. Can trigger workflows via CloudFlow.

Cross-cloud anomaly detection, but mostly alerts. Limited context, no embedded remediation or prescriptive recommendations.

Savings recommendations

Recommendations across AWS, Google Cloud, Azure and key SaaS tools like Snowflake and Datadog. Execute and automate savings via CloudFlow.

Strong AWS focus with Cloudability Savings Automation. Covers SPs and RIs well, but limited automation outside AWS. Manual execution required for GCP and Azure.

Advanced FinOps capabilities

Taking action on FinOps recommendations

Users can take immediate action via CloudFlow automation or execute optimizations directly from the platform. Integrates with Jira and other workflows for tracking.

Surfaces optimization recommendations, but execution is mostly manual. The exception is AWS, where Autopilot can automatically purchase Savings Plans and some RDS/ElastiCache/Redshift commitments.

Kubernetes Visibility

Deep Kubernetes cost visibility, with drill-down by namespace, workload, container, and alignment of cost to team, feature, or deployment.

Vantage offers granular Kubernetes allocation & visualization down to the pod level.

Automated Kubernetes optimization

DoiT’s PerfectScale for Kubernetes to slash costs via autonomous optimization and rightsizing

Rightsizing recommendations requiring manual implementation. No native rightsizing or autoscaler-aware optimization

Architecture mapping

Cloud Diagrams auto-generate real-time architecture maps with cost overlays to speed troubleshooting and governance.

No native resource-topology visualization.

GenAI Capabilities

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

No built-in conversational AI capabilities. MCP server available to analyze data externally through LLMs.

FinOps and CloudOps Advisory

Driving Innovation

DoiT customers get 24/7 access to 200+ cloud experts who not only help spot hidden architectural inefficiencies, but also consider your long-term business objectives to suggest new services that better fit current or anticipated use cases.

No embedded expert advisory services. Any architectural guidance requires external consultants or in-house resources.

Training & enablement

Strategic guidance, virtual learning sessions led by certified trainers, and continuous support to address blind spots in AWS, Google Cloud, and Azure operations.

No dedicated training or enablement program. Self-service documentation and a Slack community are available, but there’s no formal curriculum or expert-led onboarding.

Why customers choose DoiT over Vantage

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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

“PerfectScale by DoiT is removing time-consuming manual tasks we have faced in the past, making it easy to continuously maintain our system’s health and cost-effectiveness.”

Ben Hoffman, R&D Director at Solidus Labs

“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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