Multi-Cloud Cost Comparison
Where the money goes, by provider and service
All three providers normalized to a common taxonomy by the Cost Ingestion Agent, then benchmarked by the Cloud Comparison Agent on equivalent workload units.
Azure$48.6M
Primary strategic platform · 43%
AWS$39.2M
Media & legacy analytics estate · 35%
Google Cloud$24.6M
Data science & ad-tech · 22%
Annual spend by service category
$M per provider
Portfolio shape
Relative concentration by category
Category heatmap
Darker cell = higher annual spend concentration
| Category | Azure | AWS | Google Cloud |
|---|---|---|---|
| Compute | $14.2M | $12.4M | $6.1M |
| Storage | $5.8M | $4.9M | $2.7M |
| Databases | $6.4M | $5.1M | $2.4M |
| Kubernetes | $4.9M | $3.8M | $2.9M |
| AI / ML | $7.1M | $4.2M | $3.5M |
| Data Analytics | $5.3M | $3.6M | $4.6M |
| Network Egress | $2.6M | $3.1M | $1.6M |
| Backup & DR | $2.3M | $2.1M | $0.8M |
Equivalent workload unit pricing
Cloud Comparison Agent · like-for-like SKU classes, effective negotiated rates
| Equivalent unit | Azure | AWS | Google Cloud | Best |
|---|---|---|---|---|
| Kubernetes node hour | $0.092 | $0.104 | $0.088 | Google Cloud |
| Managed Postgres (per vCore hr) | $0.181 | $0.172 | $0.166 | Google Cloud |
| Object storage (TB/mo) | $18.4 | $21 | $19.2 | Azure |
| GPU inference (A100 hr) | $3.12 | $3.48 | $3.29 | Azure |
| Egress (per TB) | $78 | $87 | $82 | Azure |