Google Cloud vs Nebius Comparison

Why choose Google Cloud

• Has a free plan (Nebius does not)
• Higher Analytics score (9/10 vs 6/10)
• Higher Integration score (8/10 vs 6/10)
• Better fit for enterprise (9/10 vs 7/10)

Why choose Nebius

• Higher Cost score (7/10 vs 5/10)
• Higher Ease of Use 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.

Nebius

Pros

• Newest NVIDIA hardware, including B300 and GB300 NVL72, is listed with published per-hour prices.
• Network egress, ingress and public IPs are free, which removes a common hidden cost on hyperscalers.
• The certification list is broad: SOC 2 Type II, SOC 3, several ISO standards including 27001 and 42001, and CSA STAR.
• EU data centers in Finland and Paris help with GDPR and data residency.
• Infrastructure as code is fully supported through a CLI, a Terraform provider, gRPC and REST APIs, and SDKs.

Cons

• The catalogue is narrow outside AI. The only managed database is PostgreSQL, and there is no CDN or web hosting.
• Some users report slower support responses than AWS or CoreWeave.
• Users note documentation gaps for advanced setups.
• Kubernetes and Slurm workflows assume DevOps expertise.
• Commitment pricing and the largest clusters require contacting sales.