Azure Functions vs Google Cloud (GCP)
A detailed comparison to help you choose between Azure Functions and Google Cloud (GCP).
Quick Verdict
4.1/5
Azure Functions
326 reviews
3.6/5
Google Cloud (GCP)
345 reviews
Azure Functions is rated higher (4.1 vs 3.6). Azure Functions is Microsoft's serverless platform. 1M free executions/month. Durable Functions for long-running workflows. Best integration with .NET, Microsoft 365, and Azure services. Google Cloud Platform offers Compute Engine VMs, GKE, Cloud Run serverless, BigQuery, and AI/ML services. Known for best-in-class data analytics and AI tools. Sustained use discounts auto-apply.
Azure Functions Microsoft serverless functions for .NET teams | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (326 reviews)✓ | 3.6 (345 reviews) |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Microsoft/.NET teams building serverless applications integrated with Azure and Microsoft 365 services | Data and AI/ML teams who need Google's TPUs, Vertex AI, and BigQuery for data-intensive workloads |
| Tags | ||
| Tags | free tierapi accessus datacentereu datacenterapac datacenter | free tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit Azure Functions → | Visit Google Cloud (GCP) → | |
Azure Functions
Pros
- + 1M free executions/month
- + Durable Functions for stateful workflows
- + Best .NET and Microsoft 365 integration
Cons
- - Azure complexity
- - Cold starts on Consumption plan
Google Cloud (GCP)
Pros
- + Best AI/ML services — Vertex AI, TPUs
- + Sustained use discounts apply automatically
- + BigQuery for large-scale analytics
Cons
- - Complex pricing — sustained use discounts confuse billing
- - Less mature enterprise support vs AWS
Stay in the loop
Get weekly updates on the best new AI tools, deals, and comparisons.
No spam. Unsubscribe anytime.