AWS vs Azure vs Google Cloud

ben profile image Ben Halpern ใƒป1 min read

Software vs Software (10 Part Series)

1) React vs Vue: Compare and Contrast 2) AWS vs Azure vs Google Cloud 3 ... 8 3) VSCode vs Vim 4) PostgreSQL vs MongoDB 5) OOP vs Functional Programming 6) Computer Science vs Software Engineering 7) Python vs Java 8) Classical CSS vs CSS in JavaScript 9) Ruby vs Elixir 10) Imperative vs Declarative Programming

In the second post of this compare/contrast/debate series, I present the biggest cloud platforms.

You're welcome to pick your favorite and debate it out, but comments comparing the major differences are very welcome. ๐Ÿ™


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I have used GCP and AWS so far... I favor AWS slightly over GCP.



  • Cost
  • Browser SSH for quick debugging (cloud shell)
  • Instant resizing of disks, memory for the compute instances
  • Cloud Pub/Sub is great
  • Firebase is useful for prototyping


  • Support. They need to improve this and be more customer focused.
  • Reliability - There have been a few incidents where their network was down. But they have been quite stable since.



  • Reliability - The best among the major cloud provider
  • Support - They understand customer pain points very well. Even their free tier support is helpful.
  • Documentation - Comprehensive and generally up to date
  • They have never killed any existing service. Even deprecated ones are still around though customers are discouraged from using them.


  • Cost - AWS is generally more expensive than GCP
  • Calculating costs - Sometimes I feel we need a PhD in Cloud Economics to calculate AWS bill especially with Lambda, API Gateway, Cloudwatch.
  • Too many services with weird names or acronyms. Keeping track of them can become cumbersome.

This here "Sometimes I feel we need a PhD in Cloud Economics to calculate AWS bill " is so true. ๐Ÿ˜‚


AWS โ€” Does everything, super complex because super complete, state of the art

GCP โ€” Slightly simpler, full of Google-specific quirks

Azure โ€” Ow gawd will I ever manage to create an account? How many errors 500 can a mainstream cloud provider get per second? Does anything work in there?


A GCP fanboy right here. Their Kubernetes as a service (GKE) is #1. I think GCP is super under rated if you look at the cost and the services that you get. Also their dashboard is pretty straightforward compared to AWS and Azure where I can never navigate properly.


You're right the GCP dashboard is the most simple and organized, but Azure is not far away, AWS is a mess


GCP. AWS is a hammer to which everything starts to look like a nail; they do have more services available but the vast majority of them would likely only ever be used by large enterprises. GCP wins on cost too which makes an even bigger difference when youโ€™re factoring in DR (if you have a project that needs it, not all clients do or want to pay for it). I do like Lightsail on AWS for a quick, fixed-price, cost-effective spin up but Firebase can be used to do much the same thing (free Spark plan is pretty generous too). Finally, my side interest being game development, Firebase kills here, built-in SDK for Unity, cloud functions, and Real-time DB is an ideal DB for in-game data.


Maybe as a customer you ended up using a few services and never notice that there is a service by the minute to control satellite comms. And that is OK. Was built for other customers who needed it.


If you're a Windows shop: Azure > AWS > GCP.
If you want to get started learning in order to get a job: AWS > Azure > GCP. There's just more jobs and documentation on AWS than the others, though Azure is catching up quickly.
My personal favorite is Azure, the UI and support has been way better to manage than AWS. GCP UI is overcomplicated.


The AWS UI feels like a cold bath of austerity and hardships but in the Azure UI you replace water with liquid nitrogen... Every time I used it I got countless errors on literally everything I did.


I started with GCP,. Now Azure


I use both AWS and GCP.

On GCP I use:

  • Cloud Speech-To-Text. I donโ€™t see any competitor that gets it more accurately than Google.
  • Firebase Realtime Database. I donโ€™t see anything thatโ€™s more simple to use.
  • Cloud Run. I donโ€™t see anything like this on AWS. Tried Fargate before but the last time I tried, for a large container, it times out booting up. I donโ€™t see any real competitor for Cloud Run yet.

On AWS I use:

  • Cloud9. I like it that I can choose from a whole catalog of EC2 instance types and pay just for the EC2 price. Cloud9 auto-shutdowns the EC2 instance when unused, so an $80/mo machine ended up costing me just $20/mo. I also use Cloud9 to develop projects running on GCP. I tried Google Cloud Shell but for me itโ€™s not a good substitute.
  • Lambda. The last time I benchmarked it (by invoking simultaneously thousands compute-intensive functions) I found Lambda to be the most stable.

Hi all!

I would say AWS > GCP

Favorite thing from AWS: Lambda, S3 + Cloudfront. There you can get a web app up and running in less than a day.
Favorite thing from GCP: Shell console and Kubernetes :)

I hate from AWS: Pricing... ugh
I hate from GCP: The UI is kind of complicated, it's like they are stashing a lot of stuff in little space.

I have never used Azure, even though I'm open to <3


Agree with UI AWS > GCP, both navigation is mess but GCP make it worst. I use search which is much faster to locate what I want, AWS search result is straightforward


This certainly aligns with marketshare


Well, that was straightforward... ๐Ÿ˜‚


Accepting this as the Codd's honest truth, I would like to hear more explanation about why. Capability? Complexity? Cost?


๐Ÿ‘ Let's ๐Ÿ‘ go ๐Ÿ‘ multi ๐Ÿ‘ cloud ๐Ÿ‘.


I've just published an app on AWS with cloudfront distribution. What I can say is, even though many claim it's very complicated, it's surprisingly well documented. I registered a domain, uploaded files for a static site on S3, and setup a cloudfront https distribution in a day.


Also the caching capabilities of the cloudfront network at their edge locations. ๐Ÿ‘Œ๐Ÿป


azure is by far the best one i've used so far*

*i've only used azure. :D

we use azure devops at work for source control with git and last week i decided to give the extra bits a whirl, so now i'm busy reading up on pipelines and deployment and so on (having tons of fun with their learning paths). also, i committed to doing a showcase this friday about using azure pipelines to build and deploy a docker container when a PR succeeds...


Nice! Similar situation here. My company has a Visual Studio Pro account for each dev, which comes with $50 worth of monthly credit in addition to the DevOps pipelines/artifacts. Just started playing around with Blob Storage and their CDN. It's quite nice, but I do prefer AWS a little bit. First love, I guess ๐Ÿ˜


I can't stress this enough: the differences are not always dispositive!

I am often dealing with someone who has already chosen a cloud, has data in that cloud or an enterprise agreement. Data/cloud "gravity" has set in.

On the merits in isolation?

AWS: market share
Azure: Corp IT
GCP: Predefined workflows (e.g. Firebase family, BQ warehouse)


I have used Azure to deploy web apps.

I have used AWS to create a VM.

  • Azure has user friendly UX, its easy to understand.

  • I heard that AWS is costly than Azure.

  • Recently in Microsoft Build 2020, they announced new AI supercomputer .

  • AWS to Azure services comparison is handy to compare as required.


I use Digital Ocean for my small projects & I even recommend it to my clients.


VM aka DO Droplet is not for everything. Kubernetes in DO should be similar to other providers.

GCP also have GCE, and AWS LightSail.

However, Google Cloud Run has the most simplified workflow. Has to use Docker, though.


Certified with both GCP and AWS


At least, I love cloud shell and cloud9 doesn't cut it.

That said, I have a slight preference for AWS because of the community


I used AWS years ago and it was ok.
I've been using Azure for many years now and it's fantastic.
I've been using GCP and in particular Firebase for a couple of years now and it's incredible.

What I remember as a huge pain with Azure and wouldn't want to go through it again is their active directory and the integration with a web app. A REALLY BIG PAIN.

Firebase (on GCP) makes your users login very simple and this is what I use today if I have the chance.



Yes! I just did a spike on switching from Auth0 to AAD B2C for our tokens and it was hell


darn, I was hoping that it would improve over time but apparently no...


I just finished my first month's trial with Azure, having used AWS for a year before and also using GCP's free instance for Munin monitoring. All three have value, but you have to pursue a multi-cloud strategy and marry it with non-cloud assets for the best results.

If you're looking to be cheap, GCP's free offer excels if you are smart and know how to make the best of what you are given (e.g. you only get 1GB/continent free transfer out per month from your GCP VM, but route that through an app service and it becomes 1GB/day). But you have to work at it.

Azure gives you double the VMs but with the cost that one is running Windows. You can also set up one app service per region, which means 5GB/month per region - some of which are quite pricy for transfer or VMs normally.

All three are too expensive for media serving, which is best handed to dedicated hosting providers such as OVH and LeaseWeb - or if your needs are smaller, various VPS hosts (Vultr, Host1Plus, Civo, Atlantic.net, LayerStack - be wary of SSDNodes, they aggressively trim using the memory bubble to the point of causing increased latency).

Not previously mentioned in this comparison are Oracle Cloud (which has a very generous free offer, if you can actually get the services they are offering and want them in a specific home area); IBM Cloud, which is in various locations that may be useful to you and has DB2 linked to its own app services, as well as object storage; or Alibaba Cloud (which I have not yet tried out myself).


Aws vs Azure:

It's fast, has everything, but it's like a box of Legos. You are the one who has to figure out what connects where, and build your skyscraper from tiny blocks.

Has almost everything, but there are some missing pieces. Also it can be really slow ( vm deployment 5 minutes, but if you ask for 50 in one go, it could take 20 minutes as you only get them when ALL resources are allocated...).
On the other hand, there are nice examples and baseline scenarios, and the gui can be helpful.
Another negative would be the multitude of admin options for each service, just like in o365. Try generic admin. Not there? Try service related admin page. Not there? you'll probably need to go to azure cli.


AWS is an absolute mess! Calculating your monthly cost is close to Alchemy or possible witchcraft. Also whats with all the random names for simple services. On the plus side its reliable and solid once you have learned that EC2, RDS, Route53, S3 = Instance, Database, Domain Management, Storage.

The azure portal is much cleaner than AWS and the quickstart templates are awesome. github.com/Azure/azure-quickstart-...


Two of my emails are killed on AWS now. (via deleting the account.)


Azure is super simple, but love for Aws and Gcp is biased, most lovers are Microsoft haters irrespective of actual feature comparison.

I stay away from Gcp as Google is known to sneak and steal your information. A company which is built upon such privacy invasion foundation. I can never trust Google solutions.

I use Aws for SES, itโ€™s only cheapest mail sending solution compared to none in Azure, for everything else Azure is better. Azure is primary cloud and Aws is storage backup.

Azure is real simple for Windows users, Aws is little complex, but familiar to Linux users.


For enterprises I have seen Azure and AWS playing very nicely with all the governance and control required. I've heard that GCP, once you get to a certain size can become unwieldy. There are some differentiators some others have listed in the comments that might be more of a draw for your use case.


My last employer had no direct need for serverless plus a strong reluctance to spend, so I haven't used them to date.

Now that I'm unemployed, have found that ~90% of the job postings (frontend, backend, full-stack, data science, ML, you name it) require or heavily screen for serverless skills/experience.

So will be picking up serverless soon, have been looking quickly at all 3 trying to decide where to invest my time.

At least as far as the job postings go, it seems pretty clear, about 7:3:1 AWS:Azure:GCP ratio.


I would have loved to say something more surprising than "Google has the best cloud" but here we go ๐Ÿ˜ญ I find it easier to use. When GCP apis are not so good it still match my logic when I code not so good apis so I always get back on my feet ๐Ÿ˜“ . It's the fastest to get to work for me. AWS comes second it's more difficult but it has its own version of every great opensource project. DynamoDB is great. My worst experience is Azure I dislike its UX, each time it required too much work to get something running. It lacks magic and I end up typing / copy-pasting commands in a terminal way to soon for my tastes. It has a lot of data-centers located in interesting places. Those three have a really big service offering so I'm far from having tested everything ๐Ÿ˜ฃ .


I don't know enough about Azure, but did deploy a couple demo apps back when I was in school and it was simple. But that's been like 4 years now I think.

I mostly use AWS right now, but that's mostly because what we use at work. I find it a bit too complex really. While I understand their very small services that are meant to do one thing makes it so you can combine different services to make a powerful system, I find it very complex to get started with just to make something simple. Plus I really don't like how hard it seems to be too get good pricing information for a lot of their services.

I actually do have an application that uses a mixture of AWS and GCP. I have the application and it's database on AWS but do some OCR and storage on GCP as I found it just flat out nailed what I was trying to do. Other than though I mostly find the UI weird. Some things seem easy then some things seems very hard to navigate (then again I don't know if any cloud platform has it right).

I need to do more research on Azure though. I hope to learn more about it soon.


Bah! Fie!

They all suck. The only reason devs migrate over to them, often enough, is poor internal organization (no one wants to wait 6 weeks for the VMWare guys to "provision" the 2 VMs needed for a load test) and new, sillier ways to manipulate markets & product management.

The blockchain bros are already hacking away at the clay feet of these 3 edifices.

And the sooner they become obsolete the happier I'll be.


@ben If possible start a thread for Dokku vs Heroku !!!!


I use GCP now but moving to AWS for ML, SageMaker blazingText.


Just to add to the discussion: BigQuery is amazing! switched from Redshift and it feels like switching from driving a Subaru to a Bentley :) Huge win to GCP in my book


I've used BOTH Azure and GCP and Azure is the clear winner for me


Great to see interesting and healthy debate on cloud seevices... check out the cloud service comparison website to learn more...
PRs are welcome.