Reserved instance prices are determined by 4 factors : term (1 or 3 year), operating system, region, and payment options (no upfront, partial upfront, all upfront). Reserved instances – maximize savings by purchasing reserved instances that meet your long term business needs.On-demand – pay for compute capacity by the hour with no long term commitments.EC2 vs Google Compute Engine: PricingĪmazon EC2 offers three types of pricing models: Note: This is a high-level comparison table. Memory Optimized/ High Memory Instance Type Just like AWS, Google Compute Engine also offers instances based on workload type.Ĭurrently, GCE instances are divided into 4 types:Ĭompute Optimized / High CPU Instance Type The use of previous generation instances is not recommended due to performance limitations. In its current form, there is a total of 28 instances types. Instance types are divided into different “families” like m3 (balanced), c4 (compute optimized), and t2 (baseline level). EC2 vs Google Compute Engine: Compute CapacityĪWS Instance types are optimized for different types of workloads, like Compute, Storage, Memory, and GPU. However, according to this post from Gigaom, us-central1 translates to Oklahoma, and Europe-west1 is in Ireland. Google does not officially reveal the exact locations of these zones. Google Compute Engine is spread across 3 different regions: us-central1, Europe-west1, and asia-east1. EC2 vs Google Compute Engine: RegionsĪmazon EC2 is spread across 11 different regions: Northern Virginia, Oregon, Northern California, Ireland, Germany, Singapore, Tokyo, China, Sau Paulo, Sydney, and US GovCloud. In this post, we’ll discuss the main differences between Amazon’s EC2 and Google Compute Engine (GCE).
Within that, in terms of services and features, AWS enjoys the top position, while Google Cloud Platform is slowly catching up. Arguably, Infrastructure as a Service (IaaS) is the most important cloud computing vertical.