Compare AWS, Azure, and Oracle Cloud pricing. See compute costs, reserved instance savings, and regional pricing differences instantly.
Cloud pricing is notoriously hard to compare because each provider names, packages, and prices its instances differently. This tool puts equivalent compute options from AWS, Azure, and Oracle Cloud side by side so you can get a quick estimate of what a given workload will cost across providers before committing.
The headline instance price is only part of the bill. The main levers are:
Use these comparisons to narrow the field, not to forecast a final invoice. A few caveats to keep in mind:
The cheapest instance is not always the best value. Performance per dollar, regional latency to your users, and the surrounding managed services often matter more than the raw hourly rate. Factor in how committed-use discounts apply to steady workloads versus spot pricing for fault-tolerant batch jobs.
The comparison is computed in your browser from the inputs you provide — no account details or workload specifics are uploaded. To translate a workload's requirements into the vCPU, RAM, and storage figures you feed in here, pair this with the VM Resource Calculator.
Estimate and compare costs across AWS, Azure, and Google Cloud for equivalent workloads.
Reserved vs on-demand pricing, regional price differences, free tier inclusion.
Cloud providers typically charge for compute resources based on several factors:
CPU and RAM are billed per hour or per second. More powerful instances with more vCPUs and memory cost more per hour.
Windows instances typically cost 50-100% more than Linux instances due to licensing fees that cloud providers pass on to customers.
Prices vary by geographic region. US regions are typically cheapest, while regions in South America, Middle East, and some Asia-Pacific locations cost more.
Right-size your instances: Don't overprovision. Monitor actual CPU and memory usage and downsize if consistently under 50% utilization.
Use reserved instances for steady workloads: If you know a workload will run 24/7 for a year or more, reserved instances offer 35-50% savings.
Leverage spot/preemptible instances: For batch jobs, rendering, data processing, and fault-tolerant workloads, spot instances can save 60-90%.
Stop instances when not in use: Development and test environments don't need to run 24/7. Automate start/stop schedules to run only during business hours.
Optimize data transfer: Use CDNs for content delivery, minimize cross-region traffic, and leverage direct connect options for large data transfers.
Set up cost monitoring and alerts: Use cloud provider billing dashboards and set up alerts for unexpected spending spikes.
Review and delete unused resources: Regularly audit for orphaned volumes, snapshots, load balancers, and other resources that continue charging.
Consider multi-cloud strategies: Use each provider for their strengths - AWS for breadth, Azure for Microsoft integration, Oracle for databases.
Cloud providers offer different instance families optimized for various workloads:
Balanced CPU, memory, and networking. Good for web servers, development environments, small databases. Cost-effective for most workloads.
High CPU-to-memory ratio. Ideal for batch processing, media encoding, high-traffic web servers, gaming servers, and scientific modeling.
High memory-to-CPU ratio. Best for large databases, in-memory caches (Redis, Memcached), real-time big data analytics, and SAP HANA.
Our cloud experts can help you audit your current spending, identify cost-saving opportunities, migrate to the most cost-effective provider, and optimize your cloud architecture for both performance and cost.
We use official pricing data from each cloud provider to ensure accuracy. Prices reflect current list prices and are updated regularly. However, your actual costs may vary based on enterprise discounts, committed use agreements, support plans, or promotional credits. Always verify final pricing with your cloud provider.
We currently support AWS, Azure, and Oracle Cloud pricing comparisons. Google Cloud Platform (GCP) and Alibaba Cloud support will be added in a future update. These providers require additional API integration and we want to ensure the same level of accuracy before launching.
No, the current version focuses on compute instance pricing only. Data transfer, storage, and other services are not included. We plan to add storage and data transfer pricing in future updates.
On-Demand pricing is pay-as-you-go with no commitment - you pay hourly rates and can stop instances anytime. Reserved Instances require a 1-year or 3-year commitment in exchange for significant discounts (typically 35-50% off on-demand pricing). Reserved pricing is ideal for steady-state workloads.
Oracle Cloud has competitive pricing, especially for compute and database workloads. They offer uniform global pricing (same price in all regions) and use a flexible OCPU + RAM pricing model. Oracle also provides aggressive discounts to compete with AWS and Azure for market share.
Currently, you can take a screenshot or copy the results manually. We plan to add export functionality (PDF/CSV) and shareable links in a future update.
Cloud provider pricing typically changes infrequently. Our pricing data is based on current published rates and we update it whenever providers announce price changes. If you notice any discrepancies, please contact us.
Absolutely! Our cloud migration services team can help you plan and execute a smooth migration to the most cost-effective provider for your workloads. We handle architecture review, cost optimization, migration planning, and implementation. Get a free consultation to discuss your needs.
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