AWS, GCP, and Azure comparison in one place.
One view of every cloud, no matter how many you run
North’s AI runs your commitment procurement continuously, so your team stops spending days every quarter modeling, forecasting, and chasing approvals. Set your business goals once. North handles the rest.
FT. 01
One platform for every cloud you run
One view
across AWS, GCP, and Azure (no exports, no stitching)
Minutes
to connect each cloud (read-only, no agents)
Real-time
cloud spend and usage data (refreshed continuously)
Stop switching tools to manage every cloud
Managing cloud spend usually means one tool for visibility, another for optimization, and a spreadsheet for everything else. The work splinters across teams, the answers never line up, and the time it takes to close the loop on a question stretches into weeks. North brings all three together across AWS, GCP, and Azure, so finance and engineering work from one view of where every dollar goes.
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Use Cases
One view, every cloud
Visibility across every cloud you run
See spend, usage, and commitments side by side across your cloud environment. Slice by business unit, service, team, or account, and apply consistent custom dimensions even when tagging schemes differ by provider.
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One view
02
Sliced your way
Cost allocation by business unit, team, and more.
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One ledger
Commitment coverage across providers.
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Use Cases
One workflow, every cloud
Optimization that runs in one workflow
Catch anomalies, rightsize resources, and manage commitments across your cloud environment. Recommendations and alerts surface in one workflow, so your team can act without jumping between tools.
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Catch it early
Anomaly detection across every connected cloud.
02
Spot the waste
Rightsizing candidates surfaced across providers.
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Managed centrally
Commitment management across AWS, GCP, and Azure.
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Use Cases
Cloud spend, tied to the business
Insights that connect cloud spend to your business
Ask cloud cost questions in plain English and get answers from North's AI copilot. Connect cloud spend to the business data your team already tracks, revenue, customers, units shipped, so cost per outcome stops being a quarterly exercise.
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Just ask
AI copilot for plain-English questions across every cloud.
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Business context
Cloud spend tied to revenue, customers, and units shipped.
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Always current
Cost per outcome tracked continuously, not quarterly.
One platform, every team
For Engineering
Manage workloads across AWS, GCP, and Azure without switching tools. Catch anomalies, rightsize resources, and monitor commitment coverage from a single workflow.
For Finance
Close the books on every cloud at once. Allocate spend across business units, track commitment ROI, and connect cloud costs to the revenue and customer data that matters.
For resellers
Manage every client's cloud footprint from one platform, regardless of which providers they run. Unified reporting, commitment management, and workflows.
Their Savings Their Words
Just try it, it's easy to adopt and the value is immediate. You will regret not using it sooner.”
North took 5 minutes to setup and showed me we could save 40%. To this day, it's the fastest & clearest demo of ROI I have ever seen in business.”
The flexibility and ease of integration really stood out. If someone told me from the start it would be this easy to try, use, and save, I wouldn’t have believed them. But it is. And the savings are real.”
Manage every cloud from one place
FAQs
Frequently asked questions about multi-cloud management.
How do you get one view of cloud costs across AWS, GCP, and Azure?
Each provider has its own native console with its own reporting, so a side-by-side view usually means exporting from all three and reconciling by hand. North.cloud connects to AWS, GCP, and Azure read-only, with no agent, and compares spend, usage, and commitments across all three in one place, refreshed continuously.
How do you monitor cloud spending in real time?
Real-time cost monitoring means comparing each day's spend against that group's own recent history as the data comes in, so an unusual day gets flagged the same day it happens.
North.cloud does this by connecting to AWS, GCP, and Azure read-only, with no agent, then comparing each day's cost against its own group history, by account, service, and usage type, to catch both spikes and dips . It also recognizes spending that repeats weekly or monthly, so a regular billing cycle doesn't get flagged as a false alarm, and nothing needs to be configured before it starts working.
Can I tie cloud spend to business metrics like revenue or customer count?
Yes. Revenue, customer counts, or units shipped can sit next to the cost data, so a number like cost per customer updates on its own instead of getting rebuilt by hand each quarter. North.cloud does this through Coststreams, where you upload or manually enter a business metric against a business unit, then you can track cost per metric or metric per cost automatically as both change.
Can I manage multiple clients' cloud accounts from one platform?
Yes. For resellers, each client's AWS, GCP, or Azure accounts connects independently, and reporting, optimization, and commitment management work the same way across every account, so managing a new client doesn't mean learning a new tool.
Can an MSP or reseller manage multiple clients' cloud accounts from one platform?
Yes. The real challenge for an MSP managing several clients is keeping each one's reporting and billing separate while still working from one login instead of switching tools per client. North.cloud connects each client's AWS, GCP, or Azure accounts independently, and the same reporting, optimization, and commitment management workflows apply across every account you manage.
How much can North.cloud save me across AWS, GCP, and Azure?
Most of the savings lost in a multi-cloud environment comes from acting too slowly, a savings opportunity sits in one tool while the team that could act on it is looking at another. North.cloud closes that gap by combining visibility and optimization into one workflow. Customers see average compute savings of 55% on AWS, 35% on GCP, and up to 65% on Azure.