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Learn MorePros of Faye
Pros of Firebase
Pros of Socket.IO
Pros of Faye
- Simple6
- Open source5
- Node.js5
- Real-time2
- Scalable2
- Ruby (EventMachine)2
- BAYEUX Protocol (not proprietary)2
Pros of Firebase
- Realtime backend made easy371
- Fast and responsive270
- Easy setup242
- Real-time215
- JSON191
- Free134
- Backed by google128
- Angular adaptor83
- Reliable68
- Great customer support36
- Great documentation32
- Real-time synchronization25
- Mobile friendly21
- Rapid prototyping19
- Great security14
- Automatic scaling12
- Freakingly awesome11
- Super fast development8
- Angularfire is an amazing addition!8
- Chat8
- Firebase hosting6
- Built in user auth/oauth6
- Awesome next-gen backend6
- Ios adaptor6
- Speed of light4
- Very easy to use4
- Great3
- It's made development super fast3
- Brilliant for startups3
- Free hosting2
- Cloud functions2
- JS Offline and Sync suport2
- Low battery consumption2
- .net2
- The concurrent updates create a great experience2
- Push notification2
- I can quickly create static web apps with no backend2
- Great all-round functionality2
- Free authentication solution2
- Easy Reactjs integration1
- Google's support1
- Free SSL1
- CDN & cache out of the box1
- Easy to use1
- Large1
- Faster workflow1
- Serverless1
- Good Free Limits1
- Simple and easy1
Pros of Socket.IO
- Real-time219
- Node.js143
- Event-based communication141
- Open source102
- WebSockets102
- Binary streaming26
- No internet dependency21
- Large community10
- Push notification6
- Ease of access and setup5
- Test1
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Cons of Faye
Cons of Firebase
Cons of Socket.IO
Cons of Faye
Be the first to leave a con
Cons of Firebase
- Can become expensive31
- No open source, you depend on external company16
- Scalability is not infinite15
- Not Flexible Enough9
- Cant filter queries7
- Very unstable server3
- No Relational Data3
- Too many errors2
- No offline sync2
Cons of Socket.IO
- Bad documentation12
- Githubs that complement it are mostly deprecated4
- Doesn't work on React Native3
- Small community2
- Websocket Errors2
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- No public GitHub repository available -
What is Faye?
Faye is a set of tools for simple publish-subscribe messaging between web clients. It ships with easy-to-use message routing servers for Node.js and Rack applications, and clients that can be used on the server and in the browser.
What is Firebase?
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
What is Socket.IO?
It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.
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What companies use Faye?
What companies use Firebase?
What companies use Socket.IO?
What companies use Faye?
What companies use Socket.IO?
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What tools integrate with Faye?
What tools integrate with Firebase?
What tools integrate with Socket.IO?
What tools integrate with Faye?
No integrations found
What tools integrate with Socket.IO?
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What are some alternatives to Faye, Firebase, and Socket.IO?
NGINX
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
Apache HTTP Server
The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet.
Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Amazon Web Services (AWS)
It is a comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally.
Google Cloud Platform
It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.