Google Cloud vs IONOS Cloud Comparison

Why choose Google Cloud

• Has a free plan (IONOS Cloud does not)
• Higher Analytics score (9/10 vs 5/10)
• Higher Scalability score (10/10 vs 6/10)
• Better fit for developers (9/10 vs 7/10)
• Better fit for enterprise (9/10 vs 7/10)

Why choose IONOS Cloud

• Higher Cost score (7/10 vs 5/10)
• Higher Support score (6/10 vs 5/10)

Google Cloud

Pros

• Very broad managed catalogue that spans VMs, GKE, serverless, several database engines, a CDN and Cloud Armor, so most infrastructure can come from one vendor.
• Global footprint, which Wikipedia put at 40 regions and 121 zones in early 2024, helps teams deploy close to users and across zones.
• A 300 USD, 90-day credit plus a permanent Always Free tier, including a small VM, lets developers prototype at no cost.
• Capterra reviewers credit its scalability with helping them adapt quickly to changing client demand.

Cons

• Capterra reviewers repeatedly say the billing is complex, hard to audit and sometimes produces unexpected charges.
• Technical support requires a paid plan priced as a percentage of spend, and Premium starts at 15,000 USD a month.
• Reviewers report a steep learning curve and inconsistent documentation.
• The free e2-micro VM is limited to three US regions, so other regions incur standard charges.

IONOS Cloud

Pros

• The Kubernetes control plane is free, so you pay only for node cores, RAM and storage.
• Hourly per-resource pricing is transparent, and Savings Plans can cut dedicated core rates by roughly half over three years.
• EU-based provider with GDPR alignment and reported ISO 27001 and BSI C5 attestations.
• Strong automation options, including a Terraform provider, Cloud API, CLI and visual Data Center Designer.
• Broad catalog covering managed databases, Kafka, CDN, DDoS protection and GPU servers.

Cons

• No Asia-Pacific or Latin American regions, and multi-zone resiliency is thinner than at the hyperscalers.
• Reviewers report billing friction, renewal price increases and difficult cancellation.
• GPU capacity is reported to be limited to Frankfurt, with small default quotas.
• IAM granularity and observability depth lag behind AWS-class providers.
• Very few independent user reviews of the cloud product specifically.