Azure Functions vs Google Cloud (GCP)
A detailed comparison to help you choose between Azure Functions and Google Cloud (GCP).
Quick Verdict
4.0/5
Azure Functions
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
Azure Functions is rated higher (4.0 vs 3.9). 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. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
Azure Functions Microsoft serverless functions for .NET teams | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews)✓ | 3.9 (0 reviews) |
| Pricing model | usage-based | pay-as-you-go |
| Starting price | Free tier available | Free tier available |
| Best for | Microsoft/.NET teams building event-driven processing, workflows (Durable Functions), and spiky APIs inside the Azure ecosystem | 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. |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| 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
- + Permanent free grant of 1 million executions and 400,000 GB-s per month
- + Trigger/binding integrations cover most Azure and third-party services declaratively
- + Durable Functions for stateful orchestration — the strongest workflow story among serverless platforms
- + Hosting plan ladder (Consumption, Flex, Premium, Dedicated, Container Apps) covers most cost/performance points
- + 99.95% SLA with service credits scaling up to 100% below 95% uptime
Cons
- - Cold starts on Consumption hurt latency-sensitive HTTP workloads
- - Per-instance limits (1.5 GB RAM, 1 core) cap what single functions can do
- - Azure surface area: storage account, monitoring, identity, and networking costs stack up
- - Bindings and Durable Functions abstractions lock integration logic to Azure
- - Premium costs real money whether or not traffic flows (EP1 ~$146/month US rates)
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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