Sold by: Finout
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Finout gives FinOps, Finance, and Engineering teams deep visibility into cloud spend across AWS, Kubernetes, Snowflake, Datadog, and more without changing tags or adding code. Our MegaBill unifies every cost source into a single view at any granularity. Virtual Tags let you retroactively allocate spend to any team, customer, or feature in minutes; no re-tagging required. CostGuard automatically surfaces idle resources, rightsizing opportunities, and commitment waste from day one. As AI infrastructure costs surge, Finout helps you track and govern model inference, GPU usage, and data pipeline spend alongside the rest of your cloud bill. Turn cloud costs into a profitability lever: understand cost per customer, feature, or transaction and make smarter build vs. buy decisions.
4.5
Overview
See Everything. Allocate Anything. Optimize from Day One. Managing cloud costs across modern infrastructure is no longer just a billing problem, it's a business intelligence challenge. As organizations scale across multiple cloud providers, data platforms, and AI services, costs fragment across AWS, Azure, GCP, Kubernetes, Snowflake, Datadog, OpenAI, Anthropic, and more. Finance teams lose visibility. Engineering teams lose accountability. And as AI infrastructure spend accelerates, the complexity only deepens. Finout solves this by unifying your entire cost footprint into a single, real-time view (the MegaBill) without requiring code changes, agent deployments, or tag restructuring. From the moment you connect, you have the context to act. Allocate with precision. Govern with confidence. Finout's Virtual Tags engine lets you retroactively apply cost allocation logic across any dimension; team, environment, customer, product feature, transaction, or AI model without touching your original cloud tags. Shared costs are split intelligently using any metric you define. The result is near-complete allocation accuracy across your entire infrastructure, giving FinOps, Finance, and Engineering a single source of truth. CostGuard continuously scans for waste: idle resources, rightsizing opportunities, commitment underutilization, and cost anomalies are surfaced automatically, with actionable recommendations prioritized by savings impact. Financial Plans and custom dashboards extend governance across the organization, embedding cost accountability into existing workflows without requiring teams to change how they work. From cloud bill to competitive advantage. Finout's Cost Governance Suite goes beyond infrastructure visibility to answer the questions that drive business decisions: What does it cost to serve each customer? Which product features are eroding margin? How does AI inference spend compare to the value it delivers? With unit economics built directly into the platform, FinOps leaders can connect cloud spend to revenue, inform pricing strategy, and make smarter build vs. buy decisions. Finout is available on AWS Marketplace. Supported integrations include AWS, Azure, GCP, OCI, Kubernetes, Snowflake, Databricks, Datadog, OpenAI, Anthropic, and more.
Highlights
- Multi-cloud and AI cost complexity, solved. As infrastructure scales across AWS, Kubernetes, Snowflake, Databricks, OpenAI, Anthropic, and more, costs fragment and accountability disappears. Finout's MegaBill unifies every cost source into one real-time view, with Virtual Tags that allocate spend retroactively to any dimension, without changing tags or adding code.
- From cost chaos to cost governance. CostGuard automatically detects waste, anomalies, and optimization opportunities across your entire cloud footprint. Custom dashboards, budgets, and financial plans embed FinOps accountability into existing engineering and finance workflows so cost ownership scales with your organization, not against it.
- Cloud FinOps built for how modern businesses grow. Understand cost per customer, feature, transaction, or AI inference call. Make smarter pricing, build vs. buy, and investment decisions with unit economics built directly into the platform.
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Dimension | Description | Cost/12 months |
|---|---|---|
Pro | Up to $2M annual AWS spend | $40,000.00 |
Business | Up to $500,000 annual AWS spend | $12,000.00 |
Enterprise | Please contact sales@finout.io for a private offer | $9,999,999.00 |
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Multi-Cloud Cost Aggregation
Unified cost visibility across AWS, Azure, GCP, OCI, Kubernetes, Snowflake, Databricks, Datadog, OpenAI, Anthropic, and additional platforms through a single real-time consolidated view without requiring code changes or agent deployments.
Retroactive Cost Allocation
Virtual Tags engine enabling retroactive application of cost allocation logic across any dimension including team, environment, customer, product feature, transaction, or AI model without modifying original cloud tags, with intelligent shared cost splitting based on custom metrics.
Automated Waste Detection and Optimization
CostGuard system that continuously scans infrastructure to identify idle resources, rightsizing opportunities, commitment underutilization, and cost anomalies with actionable recommendations prioritized by savings impact.
Unit Economics and Business Intelligence
Cost analysis capabilities enabling calculation of cost per customer, feature, transaction, and AI inference call with connection of cloud spend to revenue metrics for informed pricing strategy and build versus buy decision-making.
Cost Governance and Accountability Framework
Custom dashboards, budgets, and financial plans that embed cost ownership and accountability into existing engineering and finance workflows without requiring changes to team processes or tools.
Policy-Based Identity Management
Provides policy-based identity and access management with visibility into cloud resources and users across multicloud environments including AWS, Azure, GCP, and OCI.
Financial Operations Management
Enables budget alignment to organizational structure and projects with enforcement actions to prevent cost overruns and identify savings opportunities.
Automated Compliance Enforcement
Automates compliance through robust and inheritable access policies with automated enforcement of security regulations and restriction of non-compliant services.
Multicloud Infrastructure Support
Supports unified operations and governance across multiple cloud providers including AWS, Azure, GCP, and OCI through a single platform.
Account Provisioning and Management
Automates cloud account provisioning and management with reduced manual effort for access control and account lifecycle operations.
Cloud Cost Analytics and Reporting
Provides comprehensive analytics, flexible reporting, and forecasting capabilities for cloud cost transparency and control
Cloud Billing Data Normalization
Normalizes and structures cloud billing and usage data from across public cloud ecosystems for centralized cost management
Cost Allocation and Chargeback
Enables full and accurate allocation of cloud spend including containers and support charges for complete cost chargeback across organizational units
Rightsizing Recommendations
Delivers rightsizing recommendations across major cloud service providers to optimize resource utilization and reduce operating expenses
Multi-Team Collaboration Framework
Supports collaborative FinOps practices enabling IT, Finance, and DevOps teams to establish shared ownership and accountability of cloud spend
Standard contract
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Customer reviews
Dhaval Bhalgamadiya
Centralized cost governance has unified our teams and delivers accurate tenant-level visibility
Reviewed on Jun 19, 2026
Review from a verified AWS customer
What is our primary use case?
Finout serves as our primary solution for centralized log and cloud cost governance, providing granular Kubernetes cost allocation down to the pod namespace level and merging our AWS infrastructure cost with third-party spend into a single pane of glass.
We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups. Before Finout, AWS Cost Explorer would only provide us with a lump sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing us. Finout allows us to integrate our EKS metrics so we can accurately attribute shared container cost by namespace. Furthermore, we have mapped our Datadog logging cost directly to those same microservices inside Finout, giving us an exact unified cost per tenant without tedious manual spreadsheet math.
We rely heavily on Finout to democratize cost data. It allows our finance team and engineering managers to log into the same platform and see identical clear metrics without requiring finance to understand all AWS console architecture.
What is most valuable?
Finout's best features are megabill, virtual tagging, Kubernetes cost allocation, cost anomaly detection, and custom dashboard.
Azure tagging paired with the megabill concept completely resolved our historic tracking issues with our apps. If a legacy resource like a physical AWS is tagged, we can virtually tag it in seconds inside Finout to fix our cost attribution immediately.
Finout has positively impacted our organization by fostering a true FinOps culture across our engineering teams. It removed the guesswork from cost attribution, automated our monthly financial reporting, and highlighted exactly where we were over provisioning third-party resources.
We achieved approximately thirty to forty percent reduction in total cloud and SaaS waste by identifying orphan resources and optimizing underutilized third-party licenses. We also saved hours of engineering time previously spent manually building cost allocation spreadsheets every month.
What needs improvement?
Visibility features are top tier, but I would like to see some more actionable automated remediation guardrails similar to tools that can actively scale down infrastructure rather than just alerting us to do it manually. I would also welcome deeper machine learning forecasting models for long-term budget planning.
Finout's platform is exceptionally strong for observability and reporting, and the most desired improvements are centered on adding more active automated infrastructure optimization features.
For how long have I used the solution?
We have been using Finout for more than a year to manage our cloud costs effectively.
What other advice do I have?
Governance capabilities are very solid, and virtual tagging rules allow us to enforce strict cost boundaries. From a security standpoint, Finout connects using a secure read-only IAM role and then digests AWS cost and research reports, meaning it does not pose an operational risk to our live application environments.
Data reconciliation is highly accurate, and once the virtual tagging logic is set up correctly, the numbers match up perfectly with our AWS invoices.
Out of the box native integrations for mid-tier SaaS tooling would be a great addition to Finout's existing AVIATOR integrations.
If your team is struggling to piece together a clear financial picture across Kubernetes and external tools, Finout is a fantastic choice. I would rate this product a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Sarthak Chavda
Centralized cost governance has aligned teams and provides accurate tenant-level visibility
Reviewed on Jun 18, 2026
Review from a verified AWS customer
What is our primary use case?
Our primary use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to the pod and namespace level, and merging our AWS infrastructure cost with third-party SaaS spending into a single pane of glass.
We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups, and before Finout , AWS Cost Explorer would only give us a lump-sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing us. With Finout, we integrated our EKS metrics, allowing us to accurately attribute shared container cost by namespace. We even mapped our DataDog logging cost directly to those namespaces inside Finout. This gave us an exact, unified cost per tenant without tedious manual spreadsheet math.
What is most valuable?
The best features Finout offers, in my experience, would be MegaBill, Virtual Tagging, Kubernetes cost allocation, cost anomaly detection, and custom dashboards.
Out of those features, we rely the majority on MegaBill because it provides combining multiple cloud providers and SaaS tools into one consolidated dashboard. Also, Virtual Tagging, the ability to logically group and tag resources inside the same Finout UI without having to constantly modify and redeploy our Terraform code.
Finout has positively impacted our organization by fostering a true FinOps culture across our engineering teams, as it removed the guesswork from cost attribution, automated our monthly financial reporting, and highlighted exactly where we were overprovisioning third-party tools.
We have achieved a twenty to thirty percent reduction in total cloud and SaaS waste by identifying orphaned resources and optimizing underlying third-party licenses, and we also saved hours of engineering time previously spent manually building cost allocation spreadsheets every month.
What needs improvement?
While the visibility features are top-notch, I would like to see more actionable, automated cost optimization recommendations, and I would also love to see more advanced cost forecasting models.
Finout is exceptionally strong for observability and reporting, and most desired improvements are centered on adding more active, automated infrastructure optimization features.
More out-of-the-box native integration for mid-tier SaaS tooling would be great.
For how long have I used the solution?
We have been using Finout for about a year.
What do I think about the stability of the solution?
Finout is highly stable.
What do I think about the scalability of the solution?
Finout's scalability is excellent, as it easily ingests massive, complex billing data streams and seamlessly handles the scale of our expanding EKS environment.
How are customer service and support?
Finout's customer support team is responsive and highly technical, and they were particularly helpful when we were setting up our initial EKS cost allocation rules.
I would rate the customer support eight out of ten.
Which solution did I use previously and why did I switch?
We were using AWS Cost Explorer coupled with manual spreadsheets, so we moved to Finout.
How was the initial setup?
The initial onboarding and setup were very quick because it relies primarily on API connection and cloud reports, and pricing is tied to your total monitored cloud spend, so it is reasonable.
What about the implementation team?
Do not let physical infrastructure tags stall your FinOps; use Finout's business mapping layers to organize your cost.
What was our ROI?
We got the ROI in about two to three months when the anomaly detection and Virtual Tagging flagged several unmapped ideal resources over our over-scaled SaaS commitments.
Which other solutions did I evaluate?
We evaluated native AWS tools and a few legacy cloud cost platforms, and we selected Finout because it blends container metrics with third-party SaaS cost.
What other advice do I have?
We heavily rely on Finout to democratize cost data, as it allows our finance team and engineering managers to log into the same platform and see identical, clear metrics without requiring finance to understand AWS console architectures.
Finout's governance capabilities are very solid, as Virtual Tagging rules allow us to enforce strict cost boundaries. From a security standpoint, it connects using secure, read-only IAM roles and digests AWS Cost and Usage Reports , meaning it does not pose an operational risk to our live application environments.
The data reconciliation is highly accurate, and once the Virtual Tagging logic is set up correctly, numbers match up perfectly.
Finout is a SaaS platform we have integrated via read-only, cross-account IAM roles for AWS, alongside an open-source agent Prometheus connection to securely scrape our EKS cluster metrics.
We purchased Finout through the AWS Marketplace . I would rate Finout an overall eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
HarshShah2
Centralized cost governance has enabled accurate Kubernetes and SaaS spend allocation
Reviewed on Jun 15, 2026
Review from a verified AWS customer
What is our primary use case?
Our main use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to pod and namespace level, and merging our AWS infrastructure cost with third-party SaaS spend like DataDog into a single pane of glass.
We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups. Before Finout , AWS Cost Explorer would give us a lump sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing. With Finout, we integrated our EKS metrics, allowing us to accurately attribute shared container cost by namespace. Even better, we mapped our DataDog logging cost directly to those same microservices inside Finout. They gave us an exact, unified cost per tenant without tedious manual spreadsheet math.
How has it helped my organization?
Finout has positively impacted our organization by fostering a true FinOps culture across our engineering teams. It removed the guesswork from cost attribution, automated our monthly financial reporting, and highlighted exactly where we were over-provisioning third-party tools.
We have achieved a twenty to thirty percent reduction in total cloud and SaaS waste by identifying orphan resources and optimizing underutilized third-party licenses. We also saved hours of engineering time previously spent manually building cost allocation spreadsheets every month.
What is most valuable?
The best features in my experience with Finout are the MegaBill, combining multiple cloud providers and SaaS tools into the consolidated dashboard. Virtual Tagging, Kubernetes cost allocation, cost anomaly detection, and custom dashboards are all valuable features.
Virtual Tagging paired with the MegaBill concept completely resolved our historic tagging gaps. If a legacy resource lacks physical AWS tags, we can virtually tag it in seconds inside Finout to fix our cost attribution immediately.
The governance capabilities of Finout are very solid. Virtual tagging rules allow us to enforce strict cost boundaries. From a security standpoint, it connects using secure, read-only IAM roles and digests AWS cost and usage reports, meaning it does not pose an operational risk to our live application environments.
What needs improvement?
While its visibility features are top-tier, I would appreciate seeing more actionable, automated remediations and guardrails similar to tools that can actively scale down infrastructure automatically. Rather than just alerting us to do it manually, I would also welcome deeper machine learning forecasting models for long-term budget.
More out-of-the-box native integration for mid-tier SaaS tooling would be a great addition to Finout's existing high-hitter integrations.
The platform is exceptionally strong for observability and reporting. Most desired improvements are centered on adding more active, automated infrastructure optimization features.
For how long have I used the solution?
I have been using Finout for more than a year.
What do I think about the stability of the solution?
Finout is highly stable since it processes data asynchronously from our cloud billing reports. It has zero impact on our live production workloads.
What do I think about the scalability of the solution?
Finout's scalability is excellent. It easily ingests massive, complex billing data streams and seamlessly handles the scale of our expanding EKS environments.
How are customer service and support?
The customer support team for Finout is responsive and highly technical. They were particularly helpful when we were setting up our initial EKS cost allocation rules.
Which solution did I use previously and why did I switch?
Before Finout, we relied entirely on native AWS Cost Explorer , coupled with manual spreadsheet tracking and custom internal Grafana dashboards.
How was the initial setup?
The initial onboarding and setup for Finout were quick because it relies primarily on API connections and cloud reports. The pricing is tied to your total monitoring cloud spend and is reasonable given the deep level of visibility and waste reduction it enables.
What about the implementation team?
We integrated it via read-only, cross-account IAM roles for AWS alongside an open-source agent Prometheus connection to securely scrape our EKS cluster metrics.
What was our ROI?
The ROI for Finout was clear within the first sixty days when the anomaly detection and virtual tagging flagged several unmapped, ideal resources and overscoped SaaS commitments that we were able to clean up immediately.
Which other solutions did I evaluate?
We evaluated native AWS tools and a few legacy cloud cost platforms before choosing Finout. We selected Finout because it uniquely blends container metrics with third-party SaaS costs, whereas most alternatives only look at core cloud infrastructure.
What other advice do I have?
I advise others looking into using Finout to take full advantage of the virtual tagging engine early on. Do not let imperfect physical infrastructure tags stall your FinOps journey. Use Finout's business mapping layers to organize your costs logically from day one.
If your team is struggling to piece together a clear financial picture across Kubernetes and external tools like DataDog, Finout is a fantastic choice. It bridges the communication gap between the DevOps team and finance effortlessly.
I give this product an overall rating of eight.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Information Technology and Services
Clear Cloud Cost Visibility Made Simple
Reviewed on Jan 28, 2026
Review provided by G2
What do you like best about the product?
I really appreciate how easy it makes cloud cost visibility. The dashboards are clear, and I can quickly see where money is going without digging through complicated reports. It saves time and helps me feel more in control of spending.
What do you dislike about the product?
Sometimes the setup and integrations can feel a bit tricky at first, and there’s a learning curve before everything clicks. Also, I wish there were more customization options in the reports to tailor them exactly to my needs.
What problems is the product solving and how is that benefiting you?
Finout helps me track and understand cloud costs across different services in one place. Before, it was hard to see where money was going, but now I get clear visibility and can spot waste quickly. This saves time, reduces surprises in billing, and makes budgeting much easier.
reviewer2795433
Unified cloud cost views have improved anomaly detection and enabled proactive budget control
Reviewed on Jan 14, 2026
Review from a verified AWS customer
What is our primary use case?
Our use case is integrating cloud costs from a multi-cloud estate to have one pane of glass for cost visibility. We use it for reports, but there's also other functionality that we've liked using, such as anomaly alerts, looking at the asset inventory, and setting budgets for different cloud accounts.
What is most valuable?
I like the virtual tags feature of Finout , which is like business mappings within Cloudability , which is one of their competitors. Virtual tags work really well because you can specify them without changing the configuration of cloud accounts directly. It's a filtering mechanism that's specifically within Finout and can be fully managed there.
It makes it easier to group cloud accounts into a specific bucket. For example, an engineering team might own five different cloud accounts. Rather than them having to change their code to tag them all to their team, we can instead use the virtual tags feature within Finout to have a layer of abstraction over the top. This makes it easier and allows us to manage it, rather than having to burden engineers to manage the tags of their own accounts.
Finout, being a FinOps tool, leads to cost reductions within cloud spend, which is great. By looking at how much cost is spent over time, you can then figure out different areas to reduce your cost and make it more efficient. We've definitely found that from our FinOps tool usage.
From using the cost anomaly feature, you can very quickly see when costs are getting out of control. We've used cost anomaly alerts in our FinOps tools to look for costs that are too high and then make sure that they can be reduced. There have been situations where costs get out of control, we use that feature, and then we're able to cut them down. By using that, you can definitely cut down anomalous costs by anywhere from twenty to fifty percent if you catch it quickly enough.
In terms of money saved, organizations could very easily save anywhere from ten to thirty percent of their cloud costs. That's through anomaly alerts, detecting costs that are getting too high and making sure that they're controlled, building out reports and dashboards to track costs and make them more efficient, and then potentially using the reservations and right sizing features to directly reduce cost.
What needs improvement?
The right sizing feature is okay. It could be used, but I feel its functionality isn't as strong as the cloud-native solutions, so GCP, AWS , and Azure . They all have better right sizing capabilities, so you probably wouldn't carry out right sizing from Finout. You'd want to do it directly in the cloud platforms.
The right sizing feature needs more development. Also, the reservations analysis feature isn't quite detailed enough as it should be. If you're making purchasing decisions based off of a cloud tool, it's probably better right now to do it directly through the cloud-native tooling rather than through Finout.
Those are the two features where I feel they could be improved. It's a great tool, but it does have those two areas of improvement in the right sizing and the reservation sections. If those sections were functioning very well and were very deep, then I would give it a ten out of ten.
For how long have I used the solution?
I've used Finout over the last two years.
What do I think about the stability of the solution?
Finout is very stable. I've not noticed any issues with it.
What do I think about the scalability of the solution?
Finout is very scalable. If an organization had hundreds of cloud accounts or thousands, it would easily scale to that, so there would be no scalability issues.
How are customer service and support?
The people I've interacted with from Finout have been very helpful.
Which solution did I use previously and why did I switch?
I've used other cloud FinOps solutions before, for example, using GCP, AWS , and Azure 's integrated FinOps tooling. Those have been good tools. The reason for using Finout is having all costs from different cloud providers into one platform is highly beneficial.
Finout was being compared directly against the cloud provider integrated tooling, so that's GCP, AWS, and Azure.
What about the implementation team?
Interactions have been directly with the vendor rather than through the marketplace.
What other advice do I have?
I would recommend them to use it. It's a good tool. The company is still quite new and young, but they're rapidly developing, and their support is great.
The Finout team seemed like they could be flexible on the pricing, which is good. No complaints there. They were quite interested in securing new business while not overwhelming the customer with cost. Because they're a newer and smaller FinOps company, they're more interested in getting customers on board rather than charging high costs, which is good for customers. I would give this product a rating of nine out of ten.