Vultr Kubernetes Engine vs Google Cloud (GCP)
A detailed comparison to help you choose between Vultr Kubernetes Engine and Google Cloud (GCP).
Quick Verdict
3.8/5
Vultr Kubernetes Engine
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
Google Cloud (GCP) is rated higher (3.9 vs 3.8). Vultr Kubernetes Engine (VKE) provides managed Kubernetes across 32 global locations. Auto-scaling node pools, integration with Vultr Block Storage and Load Balancers. Competitive per-node pricing. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
Vultr Kubernetes Engine Managed Kubernetes in 32 global locations | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 3.8 (0 reviews) | 3.9 (0 reviews)✓ |
| Pricing model | paid | pay-as-you-go |
| Starting price | From $10/mo | Free tier available✓ |
| Best for | Cost-conscious teams wanting conformant managed Kubernetes in the Vultr ecosystem - small-to-medium clusters, staging/CI, multi-cluster setups, and portability-minded workloads | 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. |
| Specifications (entry plan) | ||
| CPU cores | 1 vCPU | — |
| RAM | 2 GB | — |
| Storage | 55 GB | — |
| Bandwidth | 2 TB/mo | — |
| SLA uptime | 100%✓ | 99.9% |
| Data-center count | 34 | 43✓ |
| €/vCPU/mo | €10.00 | — |
| €/GB RAM/mo | €5.00 | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ✓ | |
| Tags | ||
| Tags | managed optionhourly billingeu datacenterus datacenterapac datacenterapi access | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit Vultr Kubernetes Engine → | Visit Google Cloud (GCP) → | |
Vultr Kubernetes Engine
Pros
- + Free control plane - no management fee per cluster, unlike hyperscaler managed Kubernetes services
- + CNCF Certified Kubernetes conformance with documented Argo CD and Flux GitOps support
- + Cost model is just published instance prices with hourly billing: worker nodes from $10/month, no cluster minimums
- + Node-pool autoscaling (Cluster Autoscaler) plus manual scaling via console/API, with native Load Balancer, Block Storage and DNS integrations
Cons
- - No bare-metal or GPU workers and Linux-only nodes (2 GB RAM minimum) - the node catalog is the VM catalog
- - Thinner enterprise surface than EKS/GKE/AKS: no published VKE-specific control-plane SLA, limited policy/IAM integrations
- - Node performance inherits Vultr's mid-market instance profile, including measured storage performance that trailed tested peers
- - VKE region availability is a subset of the platform's regions and is only confirmed in the console; the '32 locations' claim in our old record is not on the current product page
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
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