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DigitalOcean vs Microsoft Azure: What are the differences?
Developers describe DigitalOcean as "Deploy an SSD cloud server in less than 55 seconds with a dedicated IP and root access". We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel. On the other hand, Microsoft Azure is detailed as "Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios". Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
DigitalOcean and Microsoft Azure can be categorized as "Cloud Hosting" tools.
Some of the features offered by DigitalOcean are:
- We provide all of our users with high-performance SSD Hard Drives, flexible API, and the ability to select to nearest data center location.
- SSD Cloud Servers in 55 Seconds
- We provide a 99.99% uptime SLA around network, power and virtual server availability. If we fail to deliver, we’ll credit you based on the amount of time that service was unavailable.
On the other hand, Microsoft Azure provides the following key features:
- Use your OS, language, database, tool
- Global datacenter footprint
- Enterprise Grade with up to a 99.95% monthly SLA
"Great value for money", "Simple dashboard" and "Good pricing" are the key factors why developers consider DigitalOcean; whereas "Scales well and quite easy", "Can use .Net or open source tools" and "Startup friendly" are the primary reasons why Microsoft Azure is favored.
DigitalOcean, Techstars, and BRIKA are some of the popular companies that use DigitalOcean, whereas Microsoft Azure is used by Microsoft, Starbucks, and SlidePay. DigitalOcean has a broader approval, being mentioned in 936 company stacks & 674 developers stacks; compared to Microsoft Azure, which is listed in 489 company stacks and 463 developer stacks.
Albeit restricted to only a few places worlwide compared to its peers in the cloud segment, I am yet to find another provider capable of delivering a score over 5000 (Geekbench) in a benchmark on a single CPU machine, and each machine costs $6 a month. For homelab and experienced users who don't need DBaaS or IaaC's, it's a pretty straightforward choice. A more comprehensive review of Vultr's HF machines can be found here.
Chose Hetnzer over DigitalOcean and Linode because Hetzner provides much cheaper VPS with much better specs. DigitalOcean might seems like a good choice at first because of how popular it is. But in reality, if all you need is a simple VPS, you won't benefit much from the their oversubscribed datacenters which often underperform other competitors. Linode is also a good choice. They have cheaper options and performs slightly better than DigitalOcean. In the end, choosing a more affordable host helps you save money. That's important when you're running a tight ship.
While Media Temple is more expensive than DigitalOcean, sometimes it is like comparing apples and oranges. DigitalOcean provides what is called Virtual Private Servers ( VPS ). While you seem to be on your own dedicated server, you are, in fact, sharing the same hardware with others.
If you need to be on your own dedicated server, or have other hardware requirements, you do not really have as many options with DigitalOcean. But with Media Temple, the skies the limit ( but so is potentially the cost ).
DigitalOcean was where I began; its USD5/month is extremely competitive and the overall experience as highly user-friendly.
However, their offerings were lacking and integrating with other resources I had on AWS was getting more costly (due to transfer costs on AWS). Eventually I moved the entire project off DO's Droplets and onto AWS's EC2.
One may initially find the cost (w/o free tier) and interface of AWS daunting however with good planning you can achieve highly cost-efficient systems with savings plans, spot instances, etcetera.
Do not dive into AWS head-first! Seriously, don't. Stand back and read pricing documentation thoroughly. You can, not to the fault of AWS, easily go way overbudget. Your first action upon getting your AWS account should be to set up billing alarms for estimated and current bill totals.