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CloudPick

Comparing Vendors

Last reviewed: August 2026

At a Glance

Section titled “At a Glance”
Item AWS Azure Google Cloud OCI
Operator Amazon Microsoft Google Oracle
Launched 2006 2010 2008 2016 (Gen2)
Market share 28% 21% 14% Not disclosed
Service portfolio Very broad Very broad Broad Focused on core areas
Number of regions 39 70+ 43 50+
Strengths Broad service portfolio Enterprise integration (M365, AD) AI/ML and data analytics Databases and price competitiveness
Console Console Portal Console Console

Key Service Mapping

Section titled “Key Service Mapping”

Use this reference if you’re familiar with one vendor and want to find the equivalent service on another.

Area AWS Azure Google Cloud OCI
Virtual machines EC2 Virtual Machines Compute Engine Compute
Managed K8s EKS AKS GKE OKE
Serverless functions Lambda Functions Cloud Functions OCI Functions
Serverless containers Fargate Container Apps Cloud Run Container Instances
Object storage S3 Blob Storage Cloud Storage Object Storage
Block storage EBS Managed Disks Persistent Disk Block Volume
Managed RDBMS RDS / Aurora Azure SQL / Flexible Server Cloud SQL / AlloyDB Autonomous DB
NoSQL (document) DynamoDB Cosmos DB Firestore / Bigtable NoSQL Database
Data warehouse Redshift Synapse Analytics BigQuery Autonomous DW
VPC VPC VNet VPC (global) VCN
Load balancer (L7) ALB Application Gateway Cloud Load Balancing Load Balancer
DNS Route 53 Azure DNS Cloud DNS OCI DNS
CDN CloudFront Front Door / CDN Cloud CDN —
IAM IAM + Identity Center Entra ID Cloud IAM IAM with Identity Domains
Secrets management Secrets Manager Key Vault Secret Manager Vault
Threat detection GuardDuty Defender for Cloud Security Command Center Cloud Guard
IaC CloudFormation / CDK Bicep / ARM Infrastructure Manager / Deployment Manager Resource Manager
CI/CD CodePipeline / CodeBuild Azure DevOps Cloud Build DevOps Service
Data transfer (bulk) Snowball / DataSync Data Box / Data Factory Transfer Appliance / Storage Transfer OCI Data Transfer
Database migration Database Migration Service (DMS) Azure Database Migration Service Database Migration Service OCI Database Migration
Message queue SQS Service Bus Cloud Tasks / Pub/Sub OCI Queue
Event streaming MSK (Kafka) Event Hubs Pub/Sub Streaming (Kafka-compatible)
Search OpenSearch Service Azure AI Search Vertex AI Search OCI Search with OpenSearch
Data pipeline (ETL) Glue / MWAA Data Factory / Synapse Pipelines Dataflow / Cloud Composer OCI Data Integration
Monitoring CloudWatch Azure Monitor Cloud Monitoring OCI Monitoring
AI/LLM platform Amazon Bedrock Microsoft Foundry Gemini Enterprise Agent Platform OCI Enterprise AI

Vendor Characteristics

Section titled “Vendor Characteristics”

AWS — Broad Service Portfolio

Section titled “AWS — Broad Service Portfolio”

AWS, which grew out of Amazon’s e-commerce infrastructure, has a mature service portfolio. It often launches new service categories early and has a broad global community and partner ecosystem.

  • Core strength: Service variety, number of global regions, abundant community/documentation
  • Differentiators: Amazon Bedrock (evolving into an AI OS), launch of the Nova 2 model, granular IAM
  • Caveats: With 200+ services, initial selection can take time. Check the egress cost structure in advance.

Azure — Strong Enterprise Integration

Section titled “Azure — Strong Enterprise Integration”

Azure integrates tightly with Microsoft’s enterprise software ecosystem (Microsoft 365, Active Directory, Dynamics 365). Organizations already running a Microsoft environment tend to have a relatively clear adoption path.

  • Core strength: Microsoft 365/AD integration, hybrid (Azure Arc, Azure Stack), Enterprise Agreements (EA)
  • Differentiators: Microsoft Foundry (formerly Azure AI Foundry), in-country DR where a same-country region pair exists, GitHub/VS Code integration
  • Caveats: Service rebranding happens frequently, so verify current naming in official docs. Service availability can vary by region.

Google Cloud — AI/ML and Data Analytics

Section titled “Google Cloud — AI/ML and Data Analytics”

Google Cloud, which evolved from Google’s search and data-processing infrastructure, differentiates itself in AI/ML and large-scale data analytics. It has a distinctive design philosophy including a global VPC and SUD (automatic sustained-use discounts).

  • Core strength: AI/ML (Gemini Enterprise, TPU), data analytics (BigQuery), containers (GKE)
  • Differentiators: Gemini Enterprise Agent Platform (formerly Vertex AI), global VPC (not region-bound), Shared Fate security model
  • Caveats: For enterprise adoption, check support plans and local-language resource availability in advance.

OCI — Databases and Price Competitiveness

Section titled “OCI — Databases and Price Competitiveness”

OCI, which extends Oracle’s database expertise into the cloud, has strengths for Oracle DB workloads. Its egress cost policy can be advantageous for multicloud configurations, and it offers dedicated bare-metal instances.

  • Core strength: Autonomous Database, Oracle DB optimization, free egress allowance (10TB/month)
  • Differentiators: OCI Enterprise AI (formerly OCI Generative AI), 10TB/month free egress, Dedicated Region (OCI installed at the customer’s data center)
  • Caveats: For workloads outside Oracle DB, check the service catalog and third-party ecosystem size in advance.

Cross-Vendor Multicloud Interoperability Services

Section titled “Cross-Vendor Multicloud Interoperability Services”

Major CSPs compete with each other while also responding to customer demand for multicloud by launching direct interoperability services between vendors. As more customers avoid going all-in on a single vendor, the strategy of “letting your service run on a competitor’s infrastructure too” is spreading.

Category Description Details
Direct network interconnect Private connectivity between vendors over a dedicated network. Bypassing the internet benefits both latency and security Multicloud Connectivity
Database placement in another cloud Native placement of your own DB inside a competitor’s data center. You can run apps on AWS/Azure/Google Cloud while using Oracle only for the DB Managed RDBMS — Database@Cloud
Multicloud management platform Unified management of servers, Kubernetes, and DBs in another cloud from your own console. Addresses demand to consolidate operational tooling See below

Multicloud Management Platforms

Section titled “Multicloud Management Platforms”

Services that let you manage resources in another cloud through your own management tooling.

Service Vendor Description
Azure Arc Azure Unified management of AWS/Google Cloud/on-premises servers, Kubernetes, and DBs from the Azure Portal
GKE Enterprise (formerly Anthos) Google Cloud Unified management of Kubernetes across AWS/Azure/on-premises from Google Cloud
OCI Multicloud OCI Integrated solution for interoperability with Azure/AWS/Google Cloud

Official Comparison Materials from Vendors

Section titled “Official Comparison Materials from Vendors”

Microsoft Azure

Section titled “Microsoft Azure”

Azure provides the most systematic migration guides for AWS and Google Cloud users.

Google Cloud

Section titled “Google Cloud”

Oracle Cloud

Section titled “Oracle Cloud”

AWS

Section titled “AWS”

AWS doesn’t provide a direct service-comparison page like other vendors, but it does offer guides for users migrating from other vendors.

Caveats When Comparing Performance

Section titled “Caveats When Comparing Performance”

It’s difficult to make a simple network performance comparison across vendors and conclude “vendor X is faster.” Performance depends heavily on the following factors:

  • Region location — Choosing a region close to your users matters more than vendor selection.
  • Backbone network — Each vendor’s global backbone architecture differs.
  • Workload characteristics — Results differ depending on whether bandwidth, latency, or packet throughput matters most.
  • Measurement conditions — Results vary by time of day, ISP, and measurement tool.

Official Vendor Network Performance Resources

Section titled “Official Vendor Network Performance Resources”

Reference Measurement Tools

Section titled “Reference Measurement Tools”

The tools below are for reference only; a measurement at a given point in time does not represent a vendor’s overall performance.

Common Mistakes

Section titled “Common Mistakes”
  • “The vendor with the highest market share is the best choice” — Market share is just a general-purpose indicator, separate from whether it’s optimal for your workload. Service fit and team capability matter more.
  • “If the service names match, the features match too” — Even equivalent services across vendors differ in feature scope, constraints, and pricing model. Always check the details in the official documentation.
  • “A single vendor comparison table is enough to decide” — A comparison table is only a starting point. A PoC, cost simulation, and team feedback are needed to reach a practical decision.

Checklist

Section titled “Checklist”
  • Have you confirmed that the services needed for your core workload are available in your candidate vendors’ regions for your target users?
  • Have you identified equivalent services using each vendor’s official comparison materials (service mapping)?
  • Has your team directly tried the CLI/SDK/documentation of the vendor it will actually use?

References

Section titled “References”

Community and Research

Section titled “Community and Research”