Pricing Methodology

How We Collect Pricing Data

Complete transparency in our automated data collection pipeline. Fresh pricing from official provider APIs, regularly updated.

Regular
Automated Updates
3 Providers
AWS, Azure, GCP
2,400+
Instance types tracked

Official Data Sources

We collect pricing data directly from official cloud provider APIs using their public endpoints

AWS logo
Amazon Web Services
EC2 Instance Pricing

Pricing data collected directly from AWS's official Price List API. Includes complete EC2 instance specifications and hourly on-demand pricing across all global regions.

Microsoft Azure logo
Microsoft Azure
Virtual Machines Pricing

Data sourced from Azure's official Retail Prices API. Covers all Virtual Machine SKUs with complete specifications and pricing information across Azure's global datacenter network.

Google Cloud logo
Google Cloud Platform
Compute Engine Pricing

Pricing retrieved from Google Cloud's official Billing Catalog API. Provides comprehensive Compute Engine machine type specifications and hourly pricing for all available regions worldwide.

How It Works

Our automated system runs regularly to keep pricing data fresh and accurate

Data Collection Process
1

Collect

Fetch pricing and specification data directly from official cloud provider APIs. Each provider's data is retrieved in real-time using their public endpoints.

2

Normalize

Transform provider-specific data formats into a standardized structure. This allows for accurate comparisons across AWS, Azure, and GCP with consistent metrics.

3

Validate

Run quality checks to ensure accuracy. Invalid entries, experimental instances, and incomplete data are filtered out to maintain data integrity.

4

Update

Store the validated data and track price changes over time. Our system maintains a historical log of pricing trends and updates.

Update Frequency

Fresh data, updated automatically

Automatic Regular Updates

Our automated system regularly refreshes all pricing data to ensure you always have access to the latest information from cloud providers.

  • Automated collection from official provider APIs
  • Automatic retry logic for reliability
  • Price change detection and tracking
  • Historical pricing trends maintained

Data Quality & Accuracy

Multiple validation layers ensure reliable pricing information

Quality Assurance

Every piece of data goes through automated validation to ensure accuracy and completeness before being displayed.

  • Automated validation checks for all data fields
  • Invalid and incomplete instances filtered out
  • Experimental and deprecated instances removed
  • Price changes tracked and logged over time
  • New instance types detected automatically

Important Information

What you should know about our pricing data

Disclaimers & Limitations
  • On-Demand Pricing Only: Prices shown are for standard on-demand instances. Reserved, spot, and preemptible pricing not included.
  • Regional Variations: Pricing varies significantly by region. We show all available regions for each instance type.
  • Compute Only: Additional costs for storage, network transfer, load balancers, and other services are not included.
  • Operating System: Prices may vary based on OS (Linux, Windows, RHEL, etc.). We show base Linux pricing.
  • Always Verify: While we strive for accuracy, always verify final pricing with the cloud provider before making purchasing decisions.
Standardized Comparison
Consistent metrics across all providers

We standardize all specifications and pricing into consistent units, making it easy to compare instances across AWS, Azure, and GCP:

  • vCPU & Memory: Normalized to consistent units
  • Pricing: All prices in USD per hour
  • Processor & Architecture: Unified across providers
  • Storage & Network: Consistent specifications