AWS vs Azure (2026): An Honest Comparison and Which Cloud to Learn First

By Josh Hutcheson, founder of OnlineCourseing. Market data is from Synergy Research Group; free-tier, infrastructure and certification facts are from AWS and Microsoft’s own pages, read on October 11, 2026. Last updated: October 11, 2026. We earn a commission from some links on this page; it never changes the ranking, and we name free options we earn nothing from when they are the better fit. How we review.

AWS and Azure are the two largest public clouds, and for a learner the question is not which is better in the abstract but which will get you hired fastest from where you are now. This comparison covers market share, the job data that actually exists, the main services side by side, free tiers and pricing, certification paths and costs, and a clear recommendation by situation.

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AWS vs Azure at a glance

Region counts are not like-for-like: AWS builds every Region with multiple Availability Zones, while Microsoft counts some regions that have no availability zones. Sources: AWS global infrastructure, Azure global infrastructure.

Quick verdict by situation

Four common situations, worked through

The help-desk technician at a Microsoft shop

You support Windows laptops, reset Microsoft 365 passwords and manage users in Entra ID. Learn Azure. AZ-900 takes a few weeks, AZ-104 builds directly on what you already do, and the most likely first cloud role for you is an internal move into the team that runs your employer’s Azure tenant. Learning AWS first would throw away your head start.

The career changer with no IT background

You are coming from sales, teaching or operations and want a first tech job. Learn AWS, starting with Cloud Practitioner. It is written for people without IT backgrounds, the free AWS material is enough to pass, and AWS skills are asked for by the widest range of employers. Plan a hands-on project and the Solutions Architect Associate after it, because the entry certification alone rarely gets a technical job.

The developer at a startup

Check what your company and the companies you would like to join actually run; startups commonly default to AWS, but plenty run on Azure or Google Cloud, especially when their founders came from those ecosystems or the product is built around OpenAI’s models. If there is no signal, AWS plus the Developer Associate exam is the broadest choice.

The data analyst moving into data engineering

Follow the warehouse your target employers use. If job ads mention Microsoft Fabric, Power BI or Synapse, choose Azure and DP-700; if they mention Redshift, Glue or Athena, choose AWS and the Data Engineer Associate. Databricks and Snowflake run on both, so skills in either carry over.

Market share in 2026

Synergy Research Group, which tracks cloud infrastructure services revenue every quarter, put the market at $143.4 billion in the second quarter of 2026, up 43% year on year, the fastest growth in eight years. Amazon held 28%, Microsoft 20% and Google 15% (Synergy, July 30, 2026).

• AWS still leads clearly, but its share has drifted down from a little over 32% in 2021 as Microsoft and Google grow faster (Synergy, November 2025).
• The big three keep consolidating. Together they held 63% of the market in Q3 2025, up from 61% two years earlier.
• Generative AI is driving the growth. Synergy says GenAI-specific cloud services grew 165% year on year in Q2 2026, and AI is the main reason both clouds are expanding.

An earlier version of this page put AWS at 31% and Azure at 24%. Those numbers came from older reports and overstated Azure; use the Synergy figures above.

Job demand: what the data shows

Most “AWS has 1.5x more jobs” claims online have no source. The honest picture from the data that does exist:

• A 2026 analysis of more than 1,000 data scientist job postings by 365 Data Science found AWS mentioned in 27% and Azure in 16%.
• Flexera’s 2026 State of the Cloud survey found 73% of organizations run hybrid cloud, which is why employers value people who understand more than one platform once they have depth in one.
• Azure demand clusters in enterprises that already run Microsoft software. In those organizations Azure skills can matter more than AWS.

The most useful test is local: search a job board for “AWS” and then “Azure” with your target job title and city, and compare the counts. For pay, cloud roles are counted under broader occupations by the US Bureau of Labor Statistics; the 2025 median was $134,050 for computer network architects and $135,980 for software developers. No reliable source shows a consistent pay gap between AWS and Azure roles at the same level.

Service-by-service comparison

Both clouds cover the same ground, usually with different names. The table maps the services learners meet first.

Where each has an edge

• Azure: integration with Microsoft 365, Windows Server, SQL Server and Entra ID, which most large companies already use; Azure DevOps and GitHub (both Microsoft) as a complete DevOps toolchain; and the OpenAI models.
• AWS: the broadest catalog and the longest track record, the biggest community of tutorials and answers, and Bedrock’s choice of models from several providers.
• Neutral: Terraform works on both, Kubernetes skills transfer directly, and Databricks runs on both.

Compute and containers

EC2 and Azure Virtual Machines both offer Linux and Windows machines in hundreds of sizes, with discounted spare capacity (AWS Spot, Azure Spot VMs). For containers, both run managed Kubernetes; AWS adds ECS and Fargate as simpler AWS-native options, while Azure adds Container Apps. Serverless functions (Lambda and Azure Functions) are close equivalents: event-driven code you pay for by the request and the millisecond.

Data and AI

For relational data, Azure is the natural home for SQL Server workloads, and Aurora is AWS’s own MySQL- and PostgreSQL-compatible engine. Microsoft has folded much of its analytics story into Microsoft Fabric, alongside Synapse and Azure Databricks; AWS keeps separate services (Redshift, Glue, Athena, EMR) that you combine. In generative AI, Azure’s distinctive asset is its access to OpenAI’s models, while Amazon Bedrock offers a menu of models from several companies through one API.

Hybrid and multicloud

Both extend into customers’ own data centers: AWS with Outposts and Azure with Azure Arc and Azure Local. If your target employer runs a large on-premises estate, this is often where Azure’s Microsoft relationships give it the edge.

Pros and cons for learners

AWS

• Pro: the largest market share, so the widest range of employers.
• Pro: the deepest pool of courses, tutorials, forum answers and practice exams.
• Pro: certifications last three years, so less renewal overhead.
• Con: a very large catalog with overlapping services, which can overwhelm beginners.
• Con: the new free plan lasts six months, not a year, so pace your hands-on practice.

Azure

• Pro: a natural next step for anyone who already knows Windows, Microsoft 365 or Entra ID.
• Pro: free annual renewal and fundamentals certifications that never expire.
• Pro: strong demand in enterprise, government and finance, and a growing share of the market.
• Con: exams change often, so course material goes stale faster; check exam codes before you buy.
• Con: the $200 free credit lasts only 30 days, though many services stay free for 12 months.

Pricing and free tiers

There is no honest single answer to “which is cheaper”. Unit prices are close for similar instances, and the bill is decided by architecture, region, commitment discounts and licensing. Two differences matter for most buyers:

• Licensing. Azure Hybrid Benefit lets organizations bring existing Windows Server and SQL Server licenses to Azure, which often makes Azure cheaper for Microsoft workloads.
• Discount programs. AWS has Savings Plans, Reserved Instances and Spot; Azure has reservations, savings plans and Spot VMs. Committing for one or three years cuts costs on both.
• Waste. Flexera’s 2026 survey put wasted cloud spend at 29%, and 68% of respondents named cost optimization as a top priority. Whichever cloud you learn, cost management is a skill employers pay for.

Free tiers for learners

AWS has replaced its old 12-month free tier for new accounts with credits and a six-month free plan, and the free-plan account closes after six months unless you upgrade. Sources: AWS Free Tier, Azure account options. Either is enough for certification labs if you shut resources down when you finish.

Certification paths compared

Both vendors retire and replace exams often. Recent changes: on AWS, CloudOps Engineer (SOA-C03) replaced the SysOps Administrator in September 2025, and AWS lists its Developer, Machine Learning Engineer and Solutions Architect Professional exams as being updated. On Azure, AZ-204 retired on July 31, 2026 with AI-200 as its successor, the Azure AI Fundamentals certification now uses exam AI-901, and AZ-500 has retired. Always check the exam code on the vendor’s page before you buy a course.

Cloud Practitioner vs AZ-900

The two entry exams test the same level of knowledge. AWS Cloud Practitioner (CLF-C02) has 65 questions in 90 minutes, costs $100 and lasts three years. AZ-900 is a 45-minute exam, costs $99 and never expires. Take the one for the cloud you plan to work in.

Our cert-by-cert guides: AWS Cloud Practitioner · Solutions Architect Associate · Developer · Data Engineer · Machine Learning Engineer · AI Practitioner · DevOps Engineer Professional. Azure AZ-900 · AZ-104 · AZ-204 and AI-200 · DP-700 · AZ-305 · AZ-400.

Which should you learn first?

If you cannot decide and do not already work in a Microsoft environment, start with AWS, for three reasons:

1. It is the larger market, so more employers can use what you learn.
2. It has the most learning material, from AWS’s free Skill Builder courses to community tutorials and answers.
3. The concepts transfer. Once you understand compute, storage, networking and identity on AWS, Azure is mostly new names for the same ideas.

If you already work with Microsoft 365, Windows Server or Entra ID, start with Azure. Internal moves into cloud roles are often the fastest route in, and your existing knowledge gives you a head start.

Your first week on either cloud

1. Open a free account and set a budget alert before you create anything.
2. Complete the free fundamentals course: AWS Cloud Practitioner Essentials on Skill Builder, or the AZ-900 learning path on Microsoft Learn.
3. Launch one virtual machine, put a file in object storage, and give a second user limited permissions. Then delete everything.
4. Deploy one serverless function that runs when a file is uploaded. It is the first exercise that feels like real cloud work.
5. Pick the entry certification for that cloud and book a date four to six weeks out, so the studying has a deadline.

Switching or adding a second cloud

Moving from one to the other mid-career is common. Expect a few months to learn the other cloud’s service names, console and identity model, and consider its associate certification as proof. The architecture thinking carries over.

What about Google Cloud?

Google Cloud holds 15% of the market and is strongest in data, analytics and AI. It is worth learning if your target employer runs on it; see our Google Cloud certification guide. Otherwise AWS or Azure gives you more options.

Best courses to learn AWS or Azure

Start free: AWS Skill Builder and Microsoft Learn both cover the fundamentals at no cost. When you want structure and projects:

• Stephane Maarek’s Cloud Practitioner course on Udemy: 4.7 from 296,401 ratings, the most-used CLF-C02 course.
• Udacity AWS Cloud Architect Nanodegree: intermediate, about 34 hours, 4.6 from 211 reviews.
• Udacity Cloud Architect using Microsoft Azure: advanced, about 53 hours, updated September 2026.
• Udacity Data Engineering with AWS (about 66 hours, 4.6 from 1,294) or Data Engineering with Microsoft Azure.
• Udacity Cloud DevOps Engineer (AWS) (about 53 hours, 4.6 from 471) or Cloud DevOps using Microsoft Azure (about 54 hours, 4.3 from 83).

Udacity charges $249 a month, $846 for four months, or $999 for a single program. For broader lists see our best AWS courses and best Azure courses, and for program-level detail our reviews of the AWS Cloud Architect, Cloud DevOps, Data Engineering with AWS and AWS Machine Learning Engineer programs, plus our overall Udacity Nanodegree review.

See the Azure Cloud Architect Nanodegree →

Frequently asked questions

Is AWS or Azure bigger?

AWS. In Synergy Research Group’s figures for the second quarter of 2026, Amazon held 28% of the worldwide cloud infrastructure services market, Microsoft 20% and Google 15%. Microsoft and Google are growing faster, so the gap is narrowing.

Is AWS or Azure better for beginners?

AWS is the safer default if you have no preference: it is the larger market, has the largest body of learning material, and its Cloud Practitioner exam is aimed at beginners. Choose Azure if you already work with Microsoft 365, Windows Server or Entra ID, or if your target employers are Microsoft shops.

Is AWS or Azure cheaper?

Neither is cheaper across the board. Prices depend on the services, region and discounts you use. Azure is often cheaper for Windows Server and SQL Server workloads if you bring existing licenses under Azure Hybrid Benefit; AWS often wins on Linux compute and Spot capacity. Use both pricing calculators with your own workload.

Which is easier to learn, AWS or Azure?

The core concepts are the same, so difficulty comes down to your background. People who know Windows administration often find Azure more familiar; people with a Linux or developer background often find AWS more natural. Pick one and go deep first.

Is AWS or Azure more in demand for jobs?

No public source counts all US cloud job postings reliably. The data that does exist points to AWS appearing in more postings: a 2026 analysis of over 1,000 data scientist job ads by 365 Data Science found AWS in 27% and Azure in 16%. Check listings in your own city, because Azure demand is concentrated in enterprise, government and finance.

Should I get an AWS or Azure certification first?

Match it to the cloud you want to work in. For AWS, start with Cloud Practitioner (or Solutions Architect Associate if you already use AWS). For Azure, start with AZ-900 (or AZ-104 if you have IT experience). Fundamentals exams cost about $100 on both.

Do AWS and Azure certifications expire?

AWS certifications last three years. Microsoft’s role-based and specialty certifications expire every year but renew for free with an online assessment; Microsoft’s fundamentals certifications, such as AZ-900, do not expire.

Can I learn both AWS and Azure?

Yes, and many senior engineers know both, but learn one well first. Once you understand compute, storage, networking and identity on one cloud, the second mostly means learning new names for familiar ideas.

Does Azure run on AWS?

No. Azure and AWS are separate clouds run by Microsoft and Amazon on their own data centers. They are direct competitors, although many companies use both.

Which has the better free tier?

They work differently. New AWS accounts on the free plan get up to $200 in credits and free use of select services for six months, plus more than 30 always-free services. A new Azure free account gets a $200 credit for 30 days, 20+ services free for 12 months and 65+ always-free services. Students can get Azure for Students with a $100 credit and no credit card.

What about Google Cloud?

Google Cloud is third, at 15% of the market in Q2 2026, and is strongest in data, analytics and AI. Learn it if your target employer runs on it; otherwise AWS or Azure gives you a larger job market.

Final verdict

AWS vs Azure is not a choice between a winner and a loser; both offer long careers. If you have no Microsoft background, start with AWS: it is the larger market with the most learning material, and the skills transfer. If you already work in a Microsoft environment, start with Azure. Either way, commit to one cloud’s certification path for the next six to twelve months and build projects alongside it.

Comparing all three clouds? See our best cloud certifications guide.