Amazon Web Services vs Microsoft Azure
Two hyperscaler cloud options for hosting. When each fits, what it costs, who moves from one to the other, and what makers who chose it say.
Which fits you
- The widest catalog of building blocks — Lambda, containers, managed databases, queues — to assemble your own infrastructure.
Use it whenYou need a specific AWS service, enterprise customers ask for it, or you have credits to spend.
Trade-offYou wire up networking, permissions and deploys yourself; billing is per service and hard to predict.
- App Service, Functions and Container Apps alongside Azure OpenAI and Microsoft's identity and enterprise tooling.
Use it whenYou sell to Microsoft-centric companies, need Azure OpenAI, or have Azure credits.
Trade-offA large, enterprise-shaped console with more configuration than a PaaS.
At a glance
| Used by | 386 makers' products · 17 open-source projects | 70 makers' products |
|---|---|---|
| Cost at default usagerequests 5 million requests, data transfer out 100 GB, serverless function compute 100 GB-hours | $17/mo Pay as you go (Lambda + EC2 t4g.small) | — |
| Downloads | 4.2M/wk−39% vs npm | |
| Pricing | Pay-as-you-go per service; new accounts get up to $200 in Free Tier credits over 6 months. · paid from Pay as you go | Pay-as-you-go per service; new customers get a $200 credit for 30 days and 12 months of free amounts on 20+ services, plus 65+ always-free services. · paid from Pay as you go |
| Free tier | Yes | Yes |
| Open source | No | No |
What makers say
Makers on using it for hosting, from Product Hunt and Starter Story interviews, each linked to the source. Products with a page of their own and fuller notes first.
We are so excited to integrate with AWS Lambda. Look for our upcoming co-authored blog about how Fleak and AWS Lambda bring goodness to data teams and help them win their time back!
AWS provides the global infrastructure we need to deliver low-latency voice translation to users worldwide. Their reliable services ensure our calls connect seamlessly across regions.
AWS Lambda's scalability is definitely a game-changer, especially for handling the traffic spikes from a Product Hunt launch. Shoutout to AWS Lambda for making it possible! 🚀
Too many horror stories of AWS bills spiking overnight when social apps take off. Azure gave me much tighter cost control during traffic surges and that was a big reason I chose it.
Azure as a secondary cloud provider for redundancy and fallback. Azure helps us optimize costs, ensure high availability, and maintain resilience across critical workloads.
Powered our AI platform at QWiser with reliable and scalable cloud infrastructure, making sure everything runs smoothly for learners everywhere.
Loved and watch-outs
Themes that recur in makers' words and Hacker News comments, each linked to what it summarises.

