The Complete Multi-Cloud Comparison Guide

Why Multi-Cloud Comparison Matters

Most organizations run workloads on more than one cloud provider — whether by strategy, acquisition, or accident. Understanding the strengths, pricing models, and service equivalents across AWS, Azure, and GCP is essential for making informed architecture and procurement decisions.

This guide brings together our in-depth comparisons across services, storage, pricing, and operational boundaries.

Service Equivalents Across Providers

One of the biggest challenges in multi-cloud is simply mapping services across providers. AWS has 200+ services, Azure has 200+, and GCP has 100+. Many overlap, but the naming, pricing, and feature sets differ significantly.

Key mappings:

• Compute: EC2 ↔ Virtual Machines ↔ Compute Engine
• Kubernetes: EKS ↔ AKS ↔ GKE
• Serverless compute: Lambda ↔ Azure Functions ↔ Cloud Functions
• Object storage: S3 ↔ Blob Storage ↔ Cloud Storage
• Managed databases: RDS ↔ Azure SQL ↔ Cloud SQL
• Data warehousing: Redshift ↔ Synapse ↔ BigQuery
• CDN: CloudFront ↔ Azure CDN ↔ Cloud CDN

But equivalent doesn’t mean identical. Each service has unique features, pricing quirks, and operational behaviors that matter at scale.

Cloud Storage Deep Dive

Storage is often 20-35% of the total cloud bill, yet it receives far less optimization attention than compute. Our three-part storage series covers:

Performance & Pricing

Each provider structures storage pricing differently:

• AWS S3: Simple per-GB pricing with request charges, multiple storage classes
• Azure Blob: Hot/Cool/Archive tiers with access patterns driving cost
• GCP Cloud Storage: Similar tier structure, competitive egress pricing

The real cost differences emerge at scale — data retrieval costs, cross-region replication, and lifecycle management policies can dramatically change the effective per-GB price.

Integration & Strategy

Storage decisions cascade into everything else — compute placement, data pipeline architecture, backup strategy, and compliance posture. Choosing the wrong storage provider as your primary can lock you into suboptimal architectures for years.

Quota Limits & Operational Boundaries

Every cloud provider imposes quotas and limits that can silently block scaling. Understanding these before they bite you is critical:

• AWS: Service quotas vary by region and account age. Many can be raised, but the process takes time
• Azure: Subscription-level limits, resource group limits, and regional capacity constraints
• GCP: Project-level quotas with some requiring manual increases

Our comparison guide covers the quotas most likely to surprise you during scaling events.

Multi-Cloud Cost Optimization

Running multi-cloud adds complexity to cost optimization:

1. Normalize pricing for comparison — Different pricing units (per-hour vs per-second, per-GB vs per-GiB) make apples-to-apples comparison hard
2. Avoid accidental data transfer costs — Cross-cloud data movement is the most expensive network traffic
3. Commitment strategy per provider — Different commitment models (AWS RIs/SPs vs Azure Reservations vs GCP CUDs) require separate optimization
4. Unified visibility — You can’t optimize what you can’t see. A single pane of glass across providers is essential

Data Transfer — The Hidden Cost

Data transfer costs are the most misunderstood component of cloud pricing. The recent moves toward free egress by some providers have improved the situation, but cross-region and cross-cloud transfers still add up.

Key principles:

• Keep compute and storage in the same region
• Use private connectivity (VPC peering, Private Link) to avoid public internet transfer charges
• Consider CDN for frequently accessed content
• Evaluate cloud-to-cloud connectivity options for multi-cloud architectures

CloudExpat’s Multi-Cloud Advantage

CloudExpat provides unified cost visibility and optimization across AWS, Azure, and GCP from a single dashboard. Connect all your accounts in minutes and see your combined cloud spend, waste, and optimization opportunities — without switching between three different consoles.