Which cloud provider should I use — AWS, Azure, or Google Cloud?

Which cloud provider should I use — AWS, Azure, or Google Cloud?

Decision tree

Answer a few questions to identify the most suitable cloud platform for your workload.

Overview

Type
Decision tree
Entry
Q1
Questions
5
Outcomes
3
Author
Andrew
Last updated
2026-05-12

Full decision path

Start: Q1

Q1 — What is your primary workload type?

Q2 — Do you already have a significant Microsoft 365 or Azure Active Directory investment?

Q2b — Is cost-optimised managed Kubernetes a top priority?

Q3 — Are your data workloads primarily open-source (Spark, TensorFlow, PyTorch)?

Q3b — Do you need tight integration with BigQuery or Vertex AI managed services?

Outcomes

Amazon Web Services (AWS) (OUT_AWS)
Reached from Q1 (D), Q2b (no), Q3b (no).
Microsoft Azure (OUT_AZURE)
Reached from Q1 (C), Q2 (yes), Q3 (no).
Google Cloud Platform (GCP) (OUT_GCP)
Reached from Q2b (yes), Q3b (yes).

Machine-Readable JSON (Canonical Model)

View JSON
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DSL Representation

dag: Which cloud provider should I use — AWS, Azure, or Google Cloud?
version: 1.0.0
image: https://images.unsplash.com/photo-1451187580459-43490279c0fa?w=1200&q=80
description: Answer a few questions to identify the most suitable cloud platform for your workload.
entry: Q1

Q1: What is your primary workload type?
  hint: Consider the main technical category of what you are building or migrating.
  A: Web application or API  -> Q2
  B: Data analytics or ML    -> Q3
  C: Enterprise / SAP / ERP  -> [OUT_AZURE]
  D: Edge or IoT             -> [OUT_AWS]

Q2: Do you already have a significant Microsoft 365 or Azure Active Directory investment?
  yes -> [OUT_AZURE]
  no  -> Q2b

Q2b: Is cost-optimised managed Kubernetes a top priority?
  yes -> [OUT_GCP]
  no  -> [OUT_AWS]

Q3: Are your data workloads primarily open-source (Spark, TensorFlow, PyTorch)?
  yes -> Q3b
  no  -> [OUT_AZURE]

Q3b: Do you need tight integration with BigQuery or Vertex AI managed services?
  yes -> [OUT_GCP]
  no  -> [OUT_AWS]

[OUT_AWS]: Amazon Web Services (AWS)
  description: Broadest service catalogue and largest global infrastructure. Ideal for web-scale workloads, IoT, and edge computing. Strong open-source ecosystem support.
  code: CLOUD_AWS
  color: #FF9900

[OUT_AZURE]: Microsoft Azure
  description: Best-in-class integration with Microsoft 365, Active Directory, and enterprise tooling. Preferred choice for SAP/ERP migrations and hybrid cloud scenarios.
  code: CLOUD_AZURE
  color: #0078D4

[OUT_GCP]: Google Cloud Platform (GCP)
  description: Market-leading data analytics, BigQuery, and AI/ML managed services. Best managed Kubernetes (GKE) and competitive pricing for compute-intensive workloads.
  code: CLOUD_GCP
  color: #4285F4

Machine Access

Questions in this decision tree

Possible outcomes

How to use this decision tree

Click "Open interactive version" to step through the questions. Your answers narrow the tree until a recommended outcome is reached. You can also embed this tree on your own site.

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