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Add to SafariWhen comparing PythonAnywhere vs F(x) Data Cloud, the Slant community recommends F(x) Data Cloud for most people. In the question“What are the best hosting providers for a Python web application?” F(x) Data Cloud is ranked 2nd while PythonAnywhere is ranked 4th. The most important reason people chose F(x) Data Cloud is:
If you wanna host your database on the cloud server, you can have both the option as Database as a Service (Pre-installed and managed database) or Infrastructure as a Service (If you want to have root access and manually want to install the database).
Specs
Question Ranking
Pros
Pro Easy setup
It's literally a matter of minutes to get a Python-backed website up and running.
Pro Easy scaling
You pay for a number of "Workers" for your web app (to handle requests), or CPU seconds for code that you run outside a web app, and you can get more workers or CPU seconds by upgrading your plan any time.
Pro Excellent customer service
Really fast turnaround, friendly.
Pro Free option
You can run a website at USERNAME.pythonanywhere.com for free, and it's good enough for a light-traffic website -- it runs 24/7. You get a free MySQL or SQLite database too.
Pro Flexible payments
You can pay monthly and cancel any time, or pay for a year up front to get a discount.
Pro Not too expensive
A basic site with no custom domain is free. $5 a month will afford the user enough power for a typical 100,000 hit a day website.
Pro Option for hosting the database service on the cloud server.
If you wanna host your database on the cloud server, you can have both the option as Database as a Service (Pre-installed and managed database) or Infrastructure as a Service (If you want to have root access and manually want to install the database).
Pro High uptime
All the cloud services are with 99.95% uptime.
Pro Cost-friendly
F(x) Data Cloud provides public cloud server at a cheap price. The basic plan starts at $1.99/month.
Pro Great Support
Typically answers in minute.
Pro Provides high configurations
They provide 32 vCPU, 128 GB RAM, 2000 GB SSD, 9 TB network. For large businesses, high configurations are required.
Cons
Con Python-only on the server side
Obviously you can put JavaScript in your web pages and so on, but you can't use Rails or Node.
Con No WebSocket support
Con No GPU provided
GPU is not provided.
