The Product
Model, compare, and explain cloud pricing in minutes
Compare IQ lets you model a customer workload once and instantly generate a side-by-side comparison across Amazon S3, Microsoft Azure, Google Cloud, and alternative platforms.
Surface real cost drivers like storage, access, and egress. Show customers exactly how pricing plays out over time with clear, structured comparisons you can use in live conversations.
How you guide pricing conversations with Compare IQ
Compare IQ guides teams through a structured workflow that transforms complex pricing models into clear comparison intelligence.
STEP 1
Define the customer scenario
Start by capturing the key inputs that shape the pricing conversation, including customer requirements, environment, and assumptions.
Users create an opportunity to capture the context for the comparison, including:
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opportunity name
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company
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contact information
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description of the infrastructure scenario
You also select the cloud environment being analyzed, including:
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cloud provider
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geography
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region
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pricing discount assumptions
This creates a structured foundation for modeling the workload.
STEP 2
Model real usage and access patterns
Define how data behaves over time, including capacity, growth, retention, and retrieval patterns.
Compare IQ reflects how pricing actually works across Amazon S3, Microsoft Azure, and Google Cloud.
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Capacity (TiB)
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Object size (KiB)
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Ramp period
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Retention duration
Users can model multiple storage tiers depending on the provider. Examples include:
Amazon
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Amazon S3 Standard
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Amazon S3 Infrequent Access
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Amazon S3 Glacier tiers
Google Cloud
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Standard
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Nearline
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Coldline
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Archive
Azure
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Hot
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Cool
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Archive
Retrieval activity can also be modeled for warm and archive storage tiers to simulate real-world access patterns and potential restore events.
This step allows teams to model real storage lifecycle strategies, not just price per gigabyte.
These inputs allow Compare IQ to simulate how data behaves over time, producing realistic cost projections instead of simple price-per-GB estimates.
Now you have a realistic model of how the customer will use storage.
STEP 3
Compare providers side by side
Instantly generate a normalized comparison across Amazon S3, Microsoft Azure, Google Cloud, and alternative platforms.
See total cost, cost per TB, and trade-offs in a single structured view.
Teams can evaluate:
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Total modeled cost
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Storage cost per TiB
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API operation costs
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Restore costs
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Lifecycle trade-offs
This creates a normalized comparison across providers that would otherwise be difficult to build manually.
Now you can clearly show how providers compare.
STEP 4
Understand what drives the cost
Break down costs across storage, access, and data transfer.
Visualize how pricing changes over time and identify where differences emerge.
Results include:
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Tier-by-tier comparison
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Multi-year cost projections
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Monthly cost breakdowns
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Visual charts
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AI-generated insights
Users can adjust modeling assumptions such as:
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Cold restore rates
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Analysis time horizon
The results update instantly.
STEP 5
Deliver customer-ready comparisons
Share clear, structured outputs that customers can review, understand, and act on.
Use them directly in sales conversations to guide decisions with confidence.
Results include:
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Tier-by-tier comparison
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Multi-year cost projections
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Monthly cost breakdowns
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Visual charts
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AI-generated insights
The results update instantly.
Get Started
Ready to show customers what they will actually pay?
Model real usage, compare providers side by side, and give your sellers clear, defensible pricing before the quote.
See Compare IQ in action
See how your team can model scenarios, compare hyperscalers, and guide pricing conversations earlier in the deal.
No commitment. See the platform in action.