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Gunicorn vs Unicorn: What are the differences?
Developers describe Gunicorn as "A Python WSGI HTTP Server for UNIX". Gunicorn is a pre-fork worker model ported from Ruby's Unicorn project. The Gunicorn server is broadly compatible with various web frameworks, simply implemented, light on server resources, and fairly speedy. On the other hand, Unicorn is detailed as "Rack HTTP server for fast clients and Unix". Unicorn is an HTTP server for Rack applications designed to only serve fast clients on low-latency, high-bandwidth connections and take advantage of features in Unix/Unix-like kernels. Slow clients should only be served by placing a reverse proxy capable of fully buffering both the the request and response in between Unicorn and slow clients.
Gunicorn and Unicorn can be primarily classified as "Web Servers" tools.
"Python" is the primary reason why developers consider Gunicorn over the competitors, whereas "Fast" was stated as the key factor in picking Unicorn.
Gunicorn and Unicorn are both open source tools. Gunicorn with 5.91K GitHub stars and 1.12K forks on GitHub appears to be more popular than Unicorn with 1.35K GitHub stars and 248 GitHub forks.
reddit, hike, and OpenLabel are some of the popular companies that use Gunicorn, whereas Unicorn is used by Instacart, Shopify, and New Relic. Gunicorn has a broader approval, being mentioned in 184 company stacks & 50 developers stacks; compared to Unicorn, which is listed in 176 company stacks and 55 developer stacks.
I have an integration service that pulls data from third party systems saves it and returns it to the user of the service. We can pull large data sets with the service and response JSON can go up to 5MB with gzip compression. I currently use Rails 6 and Ruby 2.7.2 and Puma web server. Slow clients tend to prevent other users from accessing the system. Am considering a switch to Unicorn.
Consider trying to use puma workers first. puma -w
basically. That will launch multiple puma processes to manage the requests, like unicorn, but also run threads within those processes. You can turn the number of workers and number of threads to find the right memory footprint / request per second balance.
Pros of Gunicorn
- Python34
- Easy setup30
- Reliable8
- Light3
- Fast3
Pros of Unicorn
- Fast81
- Performance59
- Web server36
- Open Source30
- Very light30
- Rack http server27
- Load balancing18
- Great process management14
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Cons of Gunicorn
Cons of Unicorn
- Not multithreaded4