The big three clouds, AWS, Azure, and Google Cloud, offer the widest service catalogues, but their bills are harder to predict. DigitalOcean, Linode, and Vultr offer simple virtual machines with flat prices from $3.50 to $5 a month, which suits small projects. Hetzner Cloud is the cheapest option for larger virtual machines in Europe, with entry plans around $7.49 a month.
We compared 7 options for best cloud computing services comparison. Each profile below lists the price, free plan, pros and cons as published by the company.
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Best cloud computing services comparison: comparison table
Swipe the table sideways on a phone to see every column.
| # | Name | Best for | Starting price | Free plan / trial | Link |
|---|---|---|---|---|---|
| 1 | Amazon Web Services | widest service catalogue | $0, pay as you go | Yes | Visit |
| 2 | Microsoft Azure | Microsoft and enterprise workloads | $0, pay as you go | Yes | Visit |
| 3 | Google Cloud | data and AI workloads | $0, pay as you go | Yes | Visit |
| 4 | DigitalOcean | simple projects for developers | $4 per month | No | Visit |
| 5 | Akamai Cloud (Linode) | predictable virtual machines | $5 per month | No | Visit |
| 6 | Vultr | low cost compute in many regions | $3.50 per month | No | Visit |
| 7 | Hetzner Cloud | low cost servers in Europe | $7.49 per month | No | Visit |
The 7 best best cloud computing services comparisons, in detail
Amazon Web Services
Best for: widest service catalogue
Amazon Web Services is the largest cloud provider, and it offers more than 200 services covering compute, storage, databases, machine learning, and analytics. The free tier includes a limited amount of many services for 12 months, plus some services that are always free within limits. That breadth means you can build almost any workload on AWS, from a simple website to a global application with managed databases and AI services.
- The documentation and community are also the largest in the industry.
- The main drawback is pricing complexity.
- A bill can include dozens of line items for compute, storage, data transfer, and managed services, and a small change can move the total by a large am
- AWS offers cost tools and budgets, but you need to use them actively.
Pros
- the largest catalogue of cloud services
- mature tools for every workload
Cons
- pricing is complex and bills are hard to predict
Microsoft Azure
Best for: Microsoft and enterprise workloads
Microsoft Azure is the second largest cloud provider, and it is the natural choice for teams that already use Microsoft products. It integrates with Microsoft 365, Active Directory, and Windows Server, and it offers a free tier with a $200 credit for 30 days plus a set of always free services. Azure covers the same core workloads as AWS, including virtual machines, databases, AI services, and analytics, and it has strong hybrid cloud features for teams that keep some servers on site.
- The portal is the main complaint.
- Azure has many services with similar names, and finding the right one can take time.
- Pricing is also complex, with per second billing and many service tiers.
- If your organisation runs on Microsoft software, Azure will fit better than any other cloud.
Pros
- strong integration with Microsoft 365 and Windows Server
- large enterprise feature set
Cons
- the portal and service names can be hard to navigate
Google Cloud
Best for: data and AI workloads
Google Cloud is the third large cloud provider, and it is strongest in data analytics and AI. BigQuery handles large datasets with a simple SQL interface, and the AI services include Vertex AI for building and deploying models. Google Cloud offers a free tier with a $300 credit for 90 days plus always free services, and its per second billing with sustained use discounts is easy to understand.
- Kubernetes was built at Google, and Google Kubernetes Engine is one of the best managed Kubernetes services.
- The catalogue is smaller than AWS, and some services are newer, which means the documentation and community can be thinner.
- Google Cloud also changes service names and tiers more often than the other big clouds.
- If your workload is data heavy or AI focused, Google Cloud is a strong choice.
Pros
- strong data analytics and AI services
- simple per second billing
Cons
- the service catalogue is smaller than AWS, and some services are newer
DigitalOcean
Best for: simple projects for developers
DigitalOcean is the simplest cloud in this list for a developer who wants a virtual machine and a clear price. Basic Droplets start at $4 per month for 1 vCPU, 512 MB of memory, and 10 GB of SSD storage, with a monthly cap and per second billing. The console is clean, the documentation is excellent, and the managed services cover databases, Kubernetes, and app hosting.
- DigitalOcean suits side projects, small business websites, and startups that want to avoid the complexity of the big clouds.
- The limits are scope and scale.
- DigitalOcean does not offer the same range of managed services as AWS or Azure, and very large workloads may outgrow it.
- Backups cost 20 percent of the Droplet price, and a powered off Droplet is still billed, so you need to destroy it to stop the charge.
Pros
- flat, predictable pricing
- simple console and good documentation
Cons
- the service catalogue is smaller than the big clouds
Akamai Cloud (Linode)
Best for: predictable virtual machines
Akamai Cloud, formerly Linode, offers shared virtual machines from $5 per month for 1 vCPU, 1 GB of memory, and 25 GB of SSD storage, with 1 TB of transfer included. That entry plan gives more memory than the $4 DigitalOcean Droplet, which makes it a good value for small servers. Akamai bought Linode in 2022 and paired the virtual machines with its content delivery network, which suits media and web workloads.
- The pricing is flat, the billing is hourly with a monthly cap, and the support is solid.
- The service catalogue is narrower than the big clouds, and the console is built for developers rather than enterprise buyers.
- Managed services cover Kubernetes, databases, and object storage, but the range is smaller than AWS.
- If you want a predictable virtual machine with good memory for the price, Linode is a strong choice.
Pros
- more memory at the entry level than rivals
- flat pricing with generous transfer
Cons
- the console and service range are narrower than the big clouds
Vultr
Best for: low cost compute in many regions
Vultr offers cloud compute from $3.50 per month with IPv4, or $2.50 per month for an IPv6 only instance, which is the lowest starting price in this list. The entry plan gives 512 MB of memory and 15 GB of SSD storage, which suits a tiny server or a test environment. Vultr runs data centres in more than 30 regions, more than DigitalOcean or Linode, which helps when you need a server close to a specific audience.
- The billing is hourly, and the range covers high frequency, high performance, and GPU instances.
- The entry plan is small, so a live website will usually need the $5 or $6 plan with 1 GB of memory.
- Vultr also has fewer managed services than the big clouds, and the documentation is thinner than DigitalOcean.
- If you need the cheapest possible server or a location that other clouds skip, Vultr is a good pick.
Pros
- lowest starting price in this list
- data centres in more than 30 regions
Cons
- the smallest instance has limited memory and transfer
Hetzner Cloud
Best for: low cost servers in Europe
Hetzner Cloud is a European provider that offers virtual machines at prices below most rivals once you move past the entry tier. The CPX02 plan costs around $7.49 per month for 1 vCPU and 1 GB of memory, and larger plans scale to 4 GB for around $20 to $24 a month. Hetzner also offers dedicated servers, storage boxes, and managed Kubernetes, and its network performance is strong for the price.
- The service suits European teams and anyone who wants a low cost server with good hardware.
- The limits are geography and support.
- Hetzner data centres are mainly in Germany, Finland, and the US, so latency to Asia or South America can be higher.
- Support is more limited than the big clouds, and the service catalogue is smaller.
Pros
- low prices for larger virtual machines
- strong performance for the price
Cons
- data centres are mainly in Europe and the US, and support is limited
How we chose
We compared pricing pages, product documentation, and service catalogues for each provider, and we checked the starting price on the vendor site before including it. Providers with usage based pricing are listed as pay as you go rather than given a flat figure. We did not run hands on tests or create accounts, and we did not use review scores or star ratings to rank the tools. The list favors providers with clear entry prices, a free tier where available, and a track record of running production workloads.
Which cloud fits your workload
| Workload | Best pick | Monthly cost to expect | | Small website or side project | DigitalOcean, Linode, or Vultr | $4 to $6 | | European audience, larger server | Hetzner Cloud | $7.49 to $24 | | Enterprise Microsoft shop | Microsoft Azure | pay as you go | | Data and AI workload | Google Cloud | pay as you go | | Widest service choice | Amazon Web Services | pay as you go |
Frequently asked questions
Which cloud is cheapest for a small website?
Vultr is the cheapest starting point in this list, at $3.50 per month with IPv4 for a small instance. DigitalOcean starts at $4 per month and Linode at $5 per month, and both give a more usable amount of memory for a live site. The big three clouds can also host a small website for a few dollars a month, but the bill is harder to predict. For a simple website, a flat priced virtual machine is usually the cheapest and clearest option.
Is AWS cheaper than DigitalOcean?
It depends on the workload. A single small virtual machine is cheaper on DigitalOcean, where a Droplet starts at $4 per month with a flat price. AWS can be cheaper for a workload that uses reserved instances, spot pricing, or a managed service that DigitalOcean does not offer. The AWS bill is also harder to predict, since storage, transfer, and managed services add up. Compare the total cost of your actual workload, not just the server price.
Do all clouds offer a free tier?
Amazon Web Services, Microsoft Azure, and Google Cloud all offer a free tier, with a mix of 12 month offers, trial credits, and always free services within limits. DigitalOcean, Linode, Vultr, and Hetzner Cloud do not offer a free tier, though they sometimes offer trial credit for new accounts. The free tier is useful for learning and testing, but it does not cover a production workload for long.
What is the difference between a Droplet and an EC2 instance?
A Droplet is DigitalOcean name for a virtual machine, and an EC2 instance is Amazon name for the same thing. Both give you a server with CPU, memory, and storage that you can configure. The difference is in the surrounding services: EC2 connects to the full AWS catalogue, while a Droplet connects to DigitalOcean smaller set of managed services. The choice is about the platform around the server, not the server itself.
Which cloud is best for a startup?
DigitalOcean is the best pick for a startup that wants a simple cloud with predictable prices and good documentation. Google Cloud is the best pick for a startup with a data or AI focused product. AWS is the best pick for a startup that needs the widest service choice or plans to hire engineers who already know AWS. Start with the workload you have today, not the one you might have in three years, and move when the need is real.
Sources
- https://aws.amazon.com/
- https://aws.amazon.com/pricing/
- https://azure.microsoft.com/
- https://azure.microsoft.com/pricing/
- https://cloud.google.com/
- https://cloud.google.com/pricing/
- https://www.digitalocean.com/
- https://www.digitalocean.com/pricing/
- https://www.linode.com/
- https://www.linode.com/pricing/
- https://www.vultr.com/
- https://www.vultr.com/pricing/
- https://www.hetzner.com/cloud/
Prices and features were read on each company’s own website in November 2026. They change often, so confirm the current offer on the official site before you sign up or buy.