Amazon Web Services (AWS) vs Google Kubernetes Engine Comparison

Why choose Amazon Web Services (AWS)

• Higher Integration score (10/10 vs 8/10)
• Higher Customization score (10/10 vs 8/10)
• Better fit for small business (5/10 vs 3/10)
• Better fit for startups (8/10 vs 6/10)

G

Why choose Google Kubernetes Engine

• Higher Ease of Use score (6/10 vs 4/10)

Amazon Web Services (AWS)

Pros

• The service catalogue is unusually broad, with over 200 services across 38 regions, so most infrastructure needs can be met on one platform.
• EC2 has a 99.99% region-level SLA with credits of up to 100%, and instances unavailable for more than six minutes in an hour are not billed for that hour.
• The free plan gives up to $200 in credits, and more than 30 always-free services let new teams experiment at low cost.
• Support scales from a $29 minimum up to dedicated Enterprise and Unified Operations tiers for mission-critical workloads.
• G2 rates it 4.4 across more than 17,000 reviews, and reviewers praise its scalability and global reach.

Cons

• Reviewers widely cite a steep learning curve across the console and services.
• Usage pricing is complex and can produce unexpected bills unless spend is monitored closely.
• Paid support is billed as a percentage of total AWS spend, so support costs rise with usage.
• A July 2025 billing console bug showed customers estimated charges in the billions, which hurt trust in its cost tooling.

G

Google Kubernetes Engine

Pros

• Autopilot mode removes node management and bills only for the resources pods request, so unscheduled pods and system overhead are not charged.
• The $74.40 monthly credit pays the management fee for one zonal or Autopilot cluster.
• Comparison articles rate its setup the simplest of GKE, EKS, and AKS, and its hybrid and multi-cloud tooling the most mature.
• Since September 2025, fleet management and policy tools come with Standard at no extra cost.
• G2 reviewers give it an average of about 4.5 stars and praise the stability of the managed control plane.

Cons

• Every cluster pays about $73 a month in management fees, while AKS's standard tier control plane is free.
• Load balancers, storage, and network egress are billed separately, so reviewers find total costs hard to forecast.
• Users report a steep Kubernetes learning curve, and advanced tuning still takes real expertise.
• Reviewers describe support as mixed, especially for clusters on older Kubernetes versions.
• Forum threads describe Autopilot problems such as pods being preempted and scale-up and scale-down loops.