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Socket.IO vs SocketCluster vs deepstream.io: What are the differences?
Introduction
Socket.IO, SocketCluster, and deepstream.io are all real-time frameworks used in building applications that require real-time communication between clients and servers.
Protocol Support: Socket.IO primarily uses WebSockets as the main transport protocol, but it also provides fallback options like polling and long-polling. SocketCluster, on the other hand, focuses on using WebSocket over HTTP/2, which can provide better performance and efficiency. deepstream.io also supports WebSockets along with other protocols like MQTT and HTTP.
Scalability: SocketCluster and deepstream.io are designed with scalability in mind from the ground up, using features like horizontal scaling, load balancing, and clustering to handle a large number of concurrent users seamlessly. Socket.IO, while capable of handling multiple connections, may require additional configuration and third-party tools for efficient scaling in high-demand scenarios.
RPC Support: SocketCluster provides built-in support for Remote Procedure Calls (RPC), allowing for easy communication between different parts of the application or even between different nodes in a cluster. deepstream.io also offers similar RPC capabilities for orchestrating interactions between clients and servers. Socket.IO, while versatile, may require custom implementation for achieving the same level of RPC functionality.
Presence Management: deepstream.io, in particular, excels in providing robust presence management features that allow developers to track online/offline status, user metadata, and other real-time presence information within the application. While both SocketCluster and Socket.IO offer some level of presence functionality, deepstream.io is specifically tailored for scenarios where real-time collaboration and user tracking are crucial aspects of the application.
Authentication and Authorization: SocketCluster and deepstream.io come with built-in support for authentication and authorization mechanisms, making it easier for developers to secure their real-time applications using various strategies like JWT tokens, OAuth, and custom authentication plugins. Socket.IO, while flexible, may require more manual configuration and third-party modules to achieve the same level of security features.
Community and Ecosystem: Socket.IO boasts a large and active community of developers, extensive documentation, and a wide ecosystem of plugins and integrations, making it a popular choice for real-time applications with varying requirements. SocketCluster and deepstream.io, while not as widely adopted as Socket.IO, have their dedicated communities and offer unique features that cater to specific use cases, providing a more specialized approach to real-time communication.
In Summary, SocketCluster, deepstream.io, and Socket.IO offer different approaches to real-time communication, with distinct features like protocol support, scalability options, RPC capabilities, presence management, authentication mechanisms, and community support that cater to diverse use cases in real-time application development.
We are starting to work on a web-based platform aiming to connect artists (clients) and professional freelancers (service providers). In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are essential core features. We are considering using Node.js, ExpressJS, React, MongoDB stack with Socket.IO & Apollo, or maybe using Real-Time Database and functionalities of Firebase.
I would recommend looking hard into Firebase
for this project, especially if you do not have dedicated full-stack or backend members on your team.
The real time database, as you mentioned, is a great option, but I would also look into Firestore
. Similar to RTDB, it adds more functions and some cool methods as well. Also, another great thing about Firebase is you have easy access to storage and dead simple auth as well.
Node.js
Express
MongoDB
Socket.IO
and Apollo
are great technologies as well, and may be the better option if you do not wish to cede as much control to third parties in your application.
Overall, I say if you wish to focus more time developing your React
application instead of other parts of your stack, Firebase
is a great way to do that.
Hello Noam 👋,
I suggest taking a look at Ably, it has all the realtime features you need and the platform is designed to guarantee critical functionality at scale.
Here is an in depth comparison between Ably and Firebase
Hey Noam,
I would recommend you to take a look into 8base. It has features you've requested, also relation database and GraphQL API which will help you to develop rapidly.
Thanks, Ilya
Pros of deepstream.io
- Real-time8
- RethinkDB8
- Node.js6
- Websockets6
- WebRTC5
- Datasync3
- Open source3
- Android1
- Java1
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
Pros of SocketCluster
- Cluster mode is awesome12
- WebSockets8
- Scalability7
- Security4
- Real-time4
- JWT based Authentication4
- Pub-Sub API3
- Open source3
- Client Libraries2
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Cons of deepstream.io
Cons of Socket.IO
- Bad documentation12
- Githubs that complement it are mostly deprecated4
- Doesn't work on React Native3
- Small community2
- Websocket Errors2