Amazon Web Services vs Google Cloud
Who this is for
If you're weighing Amazon Web Services against Google Cloud in Cloud Infrastructure, Containers & Kubernetes and AI & ML Platforms and 4 more, this page is for you. It puts the facts from both Techarda profiles side by side, with each company's recent stories and any community threads that name them both. It doesn't pick a winner: the questions further down come from our evaluation guide, so you can put the same ones to both.
Stories and counts cover the last 90 days, counted on 23 Oct 2026. Profiles last updated 27 Sept 2026. Want a different line-up? The interactive compare tool takes up to four companies.
The facts side by side
From each company's Techarda profile. Categories they share are marked, with each company's position in the category's leader list.
| Amazon Web Services | Google Cloud | |
|---|---|---|
| Founded | 2006 | 2008 |
| Headquarters | Seattle, Washington, USA | Mountain View, California, USA |
| Parent company | Amazon | Not listed |
| Categories |
|
|
| What they do | Amazon Web Services (AWS) is the cloud computing subsidiary of Amazon, headquartered in Seattle and launching its core services in 2006. It offers on-demand infrastructure and platform services including EC2 compute, S3 storage, databases such as Aurora and DynamoDB, EKS containers, IoT, analytics, Amazon Bedrock and… | Google Cloud is the cloud computing business of Google, a subsidiary of Alphabet Inc. It offers Google Cloud Platform infrastructure and services including Compute Engine, Google Kubernetes Engine, BigQuery, Spanner and the Vertex AI platform with Gemini models, as well as Google Workspace. It serves enterprises… |
| Official site | aws.amazon.com | cloud.google.com |
| Stories, last 90 days | 190 | 82 |
Recent stories from each
What each company has published in the last 90 days, newest first. Each story links to the original source.
How to choose between them
We don't score or rank these two. The questions below come from our Cloud Infrastructure evaluation guide, and they work best when you put each one to both companies and compare the answers side by side.
Services available in your regions
A provider’s full catalogue is not available everywhere. Newer, local and sovereign regions often launch with a subset.
Ask both: Which of the specific services we need are generally available in the regions we must use, and which are in preview or missing?
Total cost including data transfer
Compute and storage prices are easy to compare. Egress, cross-zone traffic, support plans and managed service fees are where estimates go wrong.
Ask both: Using our architecture, what would we pay each month including data transfer, support and managed services, and which discounts need a commitment?
Reliability and outage handling
Outages happen at every provider. What matters is how failures are contained, how fast you are told and what the service credits are really worth.
Ask both: How are regions and zones isolated from each other, how do you communicate during an incident, and what would your SLA pay out against our cost of downtime?
Security and shared responsibility
The provider secures the platform and you secure what you build on it. Confusion about where that line sits causes many cloud incidents.
Ask both: For each service we plan to use, which security controls are yours and which are ours, and what defaults do new accounts start with?
Residency, sovereignty and legal access
Where the data sits is only part of the question. Control-plane metadata, support access and foreign legal orders matter too.
Ask both: Where are our data, backups and control-plane metadata held, who can reach them from outside the country, and how do you handle government requests for data?
Capacity and quotas
Getting the instances you need, especially accelerators, can be harder than the price list suggests.
Ask both: Can you commit capacity for the instance types we need in our regions, and how quickly are quota increases approved?
Cost visibility and controls
You cannot manage what you cannot see. Delayed or coarse billing data turns small mistakes into large bills.
Ask both: How quickly does cost data appear, can we allocate it by team and workload, and can we set limits that stop spending rather than only send alerts?
Exit and portability
Every managed service you adopt raises the cost of leaving. Know that cost before you depend on the service.
Ask both: What tooling and terms do you offer for moving data and workloads out, and what transfer charges apply when we do?
The guide also lists red flags to watch for in any Cloud Infrastructure vendor, and how to build a shortlist.
Keep going
Each profile has the full detail, and the alternatives pages show who else sits in the same categories.
- Amazon Web Services profile →Alternatives to Amazon Web Services →
- Google Cloud profile →Alternatives to Google Cloud →
- How to evaluate Cloud Infrastructure vendors →How to evaluate Containers & Kubernetes vendors →How to evaluate AI & ML Platforms vendors →How to evaluate Data & Analytics vendors →How to evaluate Databases vendors →How to evaluate AI Agents & Automation vendors →How to evaluate Hybrid & Multicloud vendors →
- Add more companies to this comparison →
How this page is put together
Every fact comes from the two Techarda profiles, which our editors check against each company's own site and public records. Rows are left out when neither profile has the detail. Stories are the ones each company published in the last 90 days; review counts include published, moderated reviews only.
Something wrong or out of date? Email engage@techarda.com. Used one of them in production? A short review of Amazon Web Services or Google Cloud helps the next team decide.