Azure Kubernetes Service vs Google Cloud (GCP)
A detailed comparison to help you choose between Azure Kubernetes Service and Google Cloud (GCP).
Quick Verdict
3.9/5
Azure Kubernetes Service
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
Both Azure Kubernetes Service and Google Cloud (GCP) are equally rated at 3.9/5. Managed Kubernetes service that simplifies cluster deployment, scaling, and operations on Azure infrastructure. Built for teams running containerized applications at production scale. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
Azure Kubernetes Service Enterprise Kubernetes on Azure with integrated DevOps and security | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 3.9 (0 reviews) | 3.9 (0 reviews) |
| Pricing model | freemium | pay-as-you-go |
| Starting price | Free tier available | Free tier available |
| Best for | Organizations already on Azure that need production-grade managed Kubernetes with a financially backed SLA and enterprise identity and compliance integration | Data- and ML-centric teams already building on BigQuery, GKE, or Vertex AI, and workloads that need a published multi-zone SLA or data residency in one of 43 regions. |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Tags | ||
| Tags | free tiermanaged optionapi accesseu datacenterus datacenterapac datacenterterraform provider | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit Azure Kubernetes Service → | Visit Google Cloud (GCP) → | |
Azure Kubernetes Service
Pros
- + Free control-plane tier makes development and CI clusters genuinely cheap
- + Financially backed 99.95% API-server SLA on Standard tier with Availability Zones
- + Deep Azure integration: Entra ID RBAC, Monitor, Container Registry, DevOps pipelines, Arc hybrid
- + AKS Automatic removes most cluster operations for teams that want it
- + Upstream-conformant Kubernetes with GPU node pools and up to 5,000 nodes per cluster
Cons
- - Real lock-in to Azure identity, networking, storage, and monitoring beyond the portable YAML layer
- - Total cost is dominated by meters that are easy to underestimate (VMs, disks, log ingestion, egress)
- - Free tier has no SLA and is explicitly not meant for scale or high availability
- - Version support window forces regular upgrades unless you pay for Premium long-term support
- - Managed control plane is not a managed platform — node and workload operations remain yours on Standard
Google Cloud (GCP)
Pros
- + Best published SLA set in the comparison: 99.99% multi-zone, 99.9% single-instance
- + 43 regions and 130 zones with per-region price variance you can trade against latency
- + Per-second billing and three discount levers — Spot up to 91% off, commitments up to 55–70%
- + Live migration through host maintenance; deep integration with GKE, BigQuery, Vertex AI
- + Real free entry: $300 trial credit that never auto-charges, plus an Always Free e2-micro VM
Cons
- - Poor price-performance for plain VMs versus European VPS specialists; no bundled transfer
- - Egress is expensive ($0.12/GiB Premium) and billed as a separate line item
- - Sustained use discounts don't apply to E2 and N4 — the families entry buyers choose
- - Budgets alert but don't cap Compute Engine spend; human support costs from $29/month
Stay in the loop
Get weekly updates on the best new hosting and infrastructure providers, deals, and comparisons.
No spam. Unsubscribe anytime.