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DigitalOcean vs Heroku vs PythonAnywhere: What are the differences?
<Write Introduction here>
- Pricing Model: DigitalOcean follows a pay-as-you-go pricing model, allowing users to be charged only for the resources they consume. Heroku, on the other hand, offers a free tier for small applications but can become expensive as the application scales up. PythonAnywhere provides a free tier as well, with paid plans that offer more resources and capabilities.
- Deployment Process: DigitalOcean provides developers with complete control over the deployment process, allowing them to configure servers and environments according to their needs. Heroku simplifies the deployment process by abstracting away server management and focusing on code deployment directly. PythonAnywhere offers a straightforward web-based deployment process that is suitable for beginners and small projects.
- Supported Languages: DigitalOcean offers support for a wide range of programming languages and frameworks, making it suitable for diverse projects. Heroku primarily focuses on supporting web applications developed in Ruby, Node.js, Java, Python, PHP, and Go. PythonAnywhere, as the name suggests, is specifically designed to support Python applications, making it ideal for Python developers.
- Scalability Options: DigitalOcean provides scalable infrastructure solutions like Droplets and Kubernetes clusters, allowing applications to scale up easily with increasing traffic. Heroku offers horizontal and vertical scaling options, making it convenient for developers to adjust resources as needed. PythonAnywhere provides basic scaling options with limited customization compared to the other platforms.
- Community and Support: DigitalOcean has a large community of developers and extensive documentation resources, making it easy to find solutions to common problems. Heroku offers robust support and a marketplace for add-ons to enhance application functionality. PythonAnywhere has a smaller community but provides personalized support for users, especially those new to the platform.
In Summary, DigitalOcean, Heroku, and PythonAnywhere differ in their pricing models, deployment processes, supported languages, scalability options, and community support.
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.
I'm transitioning to Render from heroku. The pricing scale matches my usage scale, yet it's just as easy to deploy. It's removed a lot of the devops that I don't like to deal with on setting up my own raw *nix box and makes deployment simple and easy!
Clustering I don't use clustering features at the moment but when i need to set up clustering of nodes and discoverability, render will enable that where Heroku would require that I use an external service like redis.
Restarts The restarts are annoying. I understand the reasoning, but I'd rather watch my service if its got a memory leak and work to fix it than to just assume that it has memory leaks and needs to restart.
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.
Pros of DigitalOcean
- Great value for money560
- Simple dashboard364
- Good pricing362
- Ssds300
- Nice ui250
- Easy configuration191
- Great documentation156
- Ssh access138
- Great community135
- Ubuntu24
- Docker13
- IPv6 support12
- Private networking10
- 99.99% uptime SLA8
- Simple API7
- Great tutorials7
- 55 Second Provisioning6
- One Click Applications5
- Dokku4
- LAMP4
- Debian4
- CoreOS4
- Node.js4
- 1Gb/sec Servers3
- Word Press3
- Mean3
- LEMP3
- Simple Control Panel3
- Ghost3
- Runs CoreOS2
- Quick and no nonsense service2
- Django2
- Good Tutorials2
- Speed2
- Ruby on Rails2
- GitLab2
- Hex Core machines with dedicated ECC Ram and RAID SSD s2
- CentOS1
- Spaces1
- KVM Virtualization1
- Amazing Hardware1
- Transfer Globally1
- Fedora1
- FreeBSD1
- Drupal1
- FreeBSD Amp1
- Magento1
- ownCloud1
- RedMine1
- My go to server provider1
- Ease and simplicity1
- Nice1
- Find it superfitting with my requirements (SSD, ssh.1
- Easy Setup1
- Cheap1
- Static IP1
- It's the easiest to get started for small projects1
- Automatic Backup1
- Great support1
- Quick and easy to set up1
- Servers on demand - literally1
- Reliability1
- Variety of services0
- Managed Kubernetes0
Pros of Heroku
- Easy deployment703
- Free for side projects459
- Huge time-saver374
- Simple scaling348
- Low devops skills required261
- Easy setup190
- Add-ons for almost everything174
- Beginner friendly153
- Better for startups150
- Low learning curve133
- Postgres hosting48
- Easy to add collaborators41
- Faster development30
- Awesome documentation24
- Simple rollback19
- Focus on product, not deployment19
- Natural companion for rails development15
- Easy integration15
- Great customer support12
- GitHub integration8
- Painless & well documented6
- No-ops6
- I love that they make it free to launch a side project4
- Free4
- Great UI3
- Just works3
- PostgreSQL forking and following2
- MySQL extension2
- Security1
- Able to host stuff good like Discord Bot1
- Sec0
Pros of PythonAnywhere
- Web apps15
- Easy Setup11
- Great support8
- Shell access8
- Free plan8
- Super-easy to use7
- Libraries5
- Many things like Python are pre-installed2
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Cons of DigitalOcean
- No live support chat3
- Pricing3
Cons of Heroku
- Super expensive27
- Not a whole lot of flexibility9
- No usable MySQL option7
- Storage7
- Low performance on free tier5
- 24/7 support is $1,000 per month2
Cons of PythonAnywhere
- No root access1
- Really small community1