Multi-cloud, GovCloud & Kubernetes (including EKS) support
Agentless & secure deployment, self-hosted on your VM
SAML support and RESTful API access as standard
Unlimited users at no extra cost
Our Pricing Explained
The cost of Hyperglance is based on the number of cloud resources ingested and inventoried by the Hyperglance app. Pricing is not charged as a percentage of your cloud bill, or on how many accounts/subscriptions you have (although they will count towards your overall resource limit).
Plans start as low as 500 resources, but Hyperglance can scale to tens of thousands, even millions, of resources. If you'd like a price for more than 5,000 resources, please request a quote. Alternatively, please get in touch if you would like to discuss anything related to deployment, contract or billing.
**REDUCE COSTS BY 30%:** Take FinOps to the next level with best-in-class cost optimization, analysis and forecasting tools that typically deliver 25-30% sustained cost savings.
**VISUALIZE & OPTIMIZE:** Explore powerful interactive diagrams, and search or export your aggregated inventory. Utilize 200+ customizable rules, alerts, and automations.
**AGENTLESS & SECURE:** Self-hosted as an EC2 Instance, mitigating the security concerns associated with a traditional SaaS solution. A compliance-friendly solution with no credential sharing.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour for the EC2 instance type that runs Hyperglance in your own environment, covering inventory of up to 500 cloud resources. This listing offers many instance choices across the m4, m5, t2, t3, t3a, r5, r5a, r6i families, in sizes from large through 4xlarge. Larger instances give more CPU and memory for hosting the software. Your hourly rate reflects the instance you select, not the number of accounts you connect. All instances cover the same 500-resource capacity, so pick based on the compute your deployment needs.
Top-of-mind questions for buyers
What counts as one resource toward the 500-resource limit for this listing?
A resource is a cloud object Hyperglance ingests, such as an instance, VM, database, load balancer, gateway, bucket, disk, or serverless function. Tags and metadata do not count separately. The software does not count interfaces, links, or chart data as resources. The number of accounts you connect does not affect the count.
Am I charged when the EC2 instance running Hyperglance is stopped?
Hourly software charges apply only while your chosen instance runs. A fully stopped instance does not accrue hourly software fees. Stopped instances may still incur underlying AWS storage costs for the attached volume, but the software license meters running time only.
Does connecting more AWS accounts increase my hourly cost?
No. Your hourly rate depends only on the EC2 instance type you select. Connecting more accounts does not change the rate. The accounts you connect simply contribute to your total resource count, which must stay within the 500-resource capacity for this listing.
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AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Real-time cost exploration and analysis with cost-saving recommendations including wastage identification, right-sizing, and reserved instance optimization; projected cloud bill forecasting and trend/anomaly detection.
Multi-Cloud Architecture Visualization
Interactive real-time architecture diagrams with metadata overlay for multi-cloud environments including AWS, GovCloud, and Kubernetes clusters; search, filter, and export capabilities for aggregated cloud inventory.
Security and Compliance Scanning
Continuous automated scanning for policy breaches, misconfigurations, and vulnerabilities with built-in compliance monitoring for AWS Well-Architected, NIST, CIS, HIPAA, PCI DSS, and FedRAMP frameworks.
Codeless Automation and Remediation
Customizable rule-based automations triggered by metadata, cost metrics, and alarms to enforce organizational policies, implement resource-tagging strategies, and remediate issues in real-time.
Agentless Self-Hosted Deployment
Self-hosted deployment on EC2 instances with agentless architecture; includes SAML authentication support and RESTful API access with no credential sharing requirements.
Automated Commitment Management
AWS commitment purchasing, rebalancing, and management capabilities with automated execution
Cost Visibility and Allocation
Total cost visibility with allocation tracking, dynamic budgeting, and anomaly detection
FinOps Platform
FinOps platform with AI governance for cloud cost optimization
Cloud Environment Optimization
Automated cloud optimization to achieve return on investment and eliminate manual processes
AWS-Specific Tooling
Exclusive AWS tooling for Migration Assistance Program (MAP) and Private Pricing Agreement (PPA) support
Multi-Cloud Account Management
Single pane view for managing multiple cloud accounts with unified visibility across cloud infrastructure
AI-Driven Insights and Optimization
Generative AI-powered analytics for decision-making optimization and resource utilization across cloud operations
Security and Compliance Validation
Alignment with 27 AWS security parameters and validation against AWS Well-Architected Framework for infrastructure compliance
Cloud Operations Management
Centralized management of virtual machines, databases, volumes, and instance lifecycle control with performance parameter monitoring
Cost Optimization and Billing Management
Cost-saving opportunity identification, expense monitoring, and resource efficiency enhancement capabilities
Centralized cloud insights have improved collaboration while reporting still needs simplification
Reviewed on Oct 25, 2026
Review provided by PeerSpot
What is our primary use case?
The primary use or goal is to build a stack where Hyperglance identifies the problem, other tools investigate or resolve it, and my service desk tracks the work. With offices across multiple time zones and international clients, this is a must.
How has it helped my organization?
We pair Hyperglance with tools that fill in the gaps around it. Hyperglance is strongest at providing a centralized view of cloud infrastructure, cloud spending, security issues, and compliance. It also integrates directly with Jira, ServiceNow, and Microsoft Teams, so I can route findings into my existing workflows. The rest of our tech stack (NinjaOne, Veeam, MS Defender, etc.) also complements Hyperglance.
What is most valuable?
I like that it gives me a clear picture of my cloud environment in one place. Being able to see how everything connects and spot potential security issues or wasted spending can save time.
What needs improvement?
I would like to see an easier setup process, a simpler interface for new users, and better reporting that makes it easier to share findings with clients.
For how long have I used the solution?
I have used it for 1 year.
Which solution did I use previously and why did I switch?
I did not use any previous solutions.
What's my experience with pricing, setup cost, and licensing?
It can be on the higher side for smaller teams, and it can sometimes overlap with the existing tech stack, so I need to be mindful of those things when evaluating the budget.
Which other solutions did I evaluate?
I considered alternate solutions like DataDog and CloudCheckr.
What other advice do I have?
Not at this time.
Computer Software
Makes Complex Cloud Infrastructure Easy to Understand
Reviewed on Oct 24, 2026
Review provided by G2
What do you like best about the product?
I like how it makes complex cloud infrastructure to simpler human readable form so that I can understand it better
What do you dislike about the product?
I dislike the pricing it has, for individual members, it can be expensive
What problems is the product solving and how is that benefiting you?
Hyperglance connects to my cloud environment through its APIs and gathers infrastructure information without needing an agent on every resource. That’s the biggest benefit for me, and it’s something other services don’t offer.
reviewer2916396
Visual mapping has improved how our team understands and manages complex cloud dependencies
Reviewed on Oct 23, 2026
Review provided by PeerSpot
What is our primary use case?
My primary use case of Hyperglance is to get a clear view of our cloud infrastructure in one place. It helps visualize cloud resources, understand how different components are connected, and identify potential issues or areas that need attention. Having everything organized in a single view makes it easier to monitor the environment and manage resources more efficiently. I also use it to check resource dependencies and spot unused or misconfigured resources that might increase cloud costs. The visual diagrams are especially helpful when troubleshooting issues because I can quickly understand how different services are connected without checking each resource manually.
How has it helped my organization?
Hyperglance has made it easier to understand and manage our cloud infrastructure by bringing resource information and connections into one visual view. One specific use case is reviewing our AWS environment to see how EC2 instances, VPCs, subnets, and security groups are connected. This helps us trace dependencies when investigating connectivity issues and identify resources that may need configuration changes. It also saves time compared with manually checking each resource in the AWS console. Overall, Hyperglance provides a clearer picture of our cloud setup and helps us make better-informed decisions about resource management and infrastructure optimization.
What is most valuable?
The features I find most valuable in Hyperglance are cloud infrastructure visualization, resource dependency mapping, and the ability to view multiple AWS resources in one place. For example, when investigating a connectivity issue between an EC2 instance and other services, the visual map helps me understand how the instance, VPC subnet, and security groups are connected. This makes it easier to trace dependencies and identify configurations that may need further investigation. As a result, we can narrow down potential causes more quickly, reduce manual cross-checking in the AWS console, and make troubleshooting more organized. Overall, Hyperglance gives us a clear picture of our cloud environment and helps us make better-informed infrastructure management decisions.
What needs improvement?
I would like to see more detailed filtering options for large AWS environments, especially when searching for specific EC2 instances, security groups, or network dependencies. It would also be helpful to have clear alerts for misconfigured resources, and more actionable reports and customizable dashboards would make it easier to share findings with the team and track infrastructure issues over time.
For how long have I used the solution?
I have used the solution for two years.
Which solution did I use previously and why did I switch?
Before using Hyperglance, I mainly relied on the AWS management console to review cloud resources and understand their connections. Hyperglance offers a more visual way to explore infrastructure dependencies, making it easier to get an overview of the environment without manually checking each resource.
What's my experience with pricing, setup cost, and licensing?
I recommend Hyperglance to small and mid-size teams that need better visibility into their AWS infrastructure. Before buying, check whether the 500 resource plan fits your needs and compare the cost with your budget. If you manage a growing cloud environment, review the upgrade pricing to avoid unexpected expenses later.
Which other solutions did I evaluate?
We considered using the native AWS management console and AWS configure to understand our cloud resources and their relationships. Hyperglance stood out for its visual infrastructure mapping, which makes it easier to see resource dependencies and get an overall view of the cloud environment.
What other advice do I have?
Overall, Hyperglance is worth considering for teams that want a clear visual understanding of their cloud infrastructure. I find resource mapping and dependency visibility particularly useful for troubleshooting and managing AWS environments. I would recommend taking advantage of the available trial or demo before purchasing to make sure the features and 500-resource limit fit your team's needs.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Arjun V.
Hyperglance Makes Cloud Infrastructure Visualization Effortless
Reviewed on Oct 16, 2026
Review provided by G2
What do you like best about the product?
I like that Hyperglance makes it easier to visualise cloud infrastructure instead of having to go through multiple dashboards and complex configurations
What do you dislike about the product?
The interface can take some time to get used to in the beginning and it would be helpful if some advanced features were easier to discover for new users
What problems is the product solving and how is that benefiting you?
It helps in understanding relationships between different cloud resources and makes it easier to identify dependencies and potential issues without manually checking everything across different services
reviewer2908476
Automated client cloud maps have cut onboarding time and make cost and compliance tracking accurate
Reviewed on Oct 08, 2026
Review from a verified AWS customer
What is our primary use case?
We use it primarily for mapping out new client cloud architectures during onboarding and tracking untagged, unused, or oversized AWS/Azure resources to control their monthly cloud spend.
How has it helped my organization?
It significantly cut down our onboarding time for new client accounts. Instead of our team leads spending days manually digging through AWS and Azure consoles to document what is running, we get an auto-generated map right away.
It also helped us catch idle resources that were running up client costs unnecessarily, making our FinOps reporting much more accurate.
What is most valuable?
The automated architecture mapping combined with the cost and compliance overlays. Being able to see resource relationships visually while simultaneously spotting security misconfigurations or unattached storage saves a lot of back-and-forth during client audits.
What needs improvement?
The UI can still feel a bit cluttered and sluggish when client accounts approach the resource limit, so better default filtering out of the box would help.
Custom reporting rules could also be more intuitive to set up without needing as much trial and error.
For how long have I used the solution?
I have been using the solution for about 1.5 years.
Which solution did I use previously and why did I switch?
We were mostly relying on manual Lucidchart diagrams and native AWS/Azure billing dashboards.
Keeping diagrams up to date manually was impossible as client setups changed, so we switched to Hyperglance for automated, real-time mapping.
What's my experience with pricing, setup cost, and licensing?
The Up to 500 Resources tier runs around $900 a month, which might feel a bit steep for smaller teams.
However, since they price based on your resource count rather than taking a percentage of your total cloud bill, the costs stay predictable.
If your team actively uses it to find unattached volumes and idle instances across client accounts, the tool easily pays for itself.
Which other solutions did I evaluate?
We evaluated CloudZero and Flexera. CloudZero is solid for cost tracking, but we really needed the automated architecture diagramming to help with client onboarding.
Flexera was another option, but it felt a bit too heavy and complex to deploy for our specific BPO use case.
What other advice do I have?
Take your time during the initial setup. If you plug it into a massive, messy cloud account without configuring your filters first, the auto-generated diagrams will be overwhelming to read.
Spend a few days dialing in the filters and custom reporting rules, and it will save your operations team hours of manual work every month.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?