deepstream.io vs Socket.IO vs SocketCluster

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deepstream.io

40
113
+ 1
41
Socket.IO

13K
10.7K
+ 1
785
SocketCluster

47
167
+ 1
47

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Advice on deepstream.io, Socket.IO, and SocketCluster
Needs advice
on
ApolloApolloFirebaseFirebase
and
Socket.IOSocket.IO

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.

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Replies (3)
Timothy Malstead
Junior Full Stack Developer at Freelance · | 7 upvotes · 466.8K views
Recommends
on
FirebaseFirebase

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.

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Recommends
on
AblyAbly

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

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Recommends
on
8base8base

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

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Pros of deepstream.io
Pros of Socket.IO
Pros of SocketCluster
  • 8
    Real-time
  • 8
    RethinkDB
  • 6
    Node.js
  • 6
    Websockets
  • 5
    WebRTC
  • 3
    Datasync
  • 3
    Open source
  • 1
    Android
  • 1
    Java
  • 219
    Real-time
  • 143
    Node.js
  • 141
    Event-based communication
  • 102
    Open source
  • 102
    WebSockets
  • 26
    Binary streaming
  • 21
    No internet dependency
  • 10
    Large community
  • 9
    Fallback to polling if WebSockets not supported
  • 6
    Push notification
  • 5
    Ease of access and setup
  • 1
    Test
  • 12
    Cluster mode is awesome
  • 8
    WebSockets
  • 7
    Scalability
  • 4
    Security
  • 4
    Real-time
  • 4
    JWT based Authentication
  • 3
    Pub-Sub API
  • 3
    Open source
  • 2
    Client Libraries

Sign up to add or upvote prosMake informed product decisions

Cons of deepstream.io
Cons of Socket.IO
Cons of SocketCluster
    Be the first to leave a con
    • 12
      Bad documentation
    • 4
      Githubs that complement it are mostly deprecated
    • 3
      Doesn't work on React Native
    • 2
      Small community
    • 2
      Websocket Errors
      Be the first to leave a con

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      - No public GitHub repository available -
      - No public GitHub repository available -

      What is deepstream.io?

      Scalable Server for Realtime Web Apps with JSON structures that can be read, manipulated and listened to, messages that can be sent to one or more subscribers, and request response workflows, between two clients or servers.

      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.

      What is SocketCluster?

      SocketCluster is a fast, highly scalable HTTP + realtime server engine which lets you build multi-process realtime servers that make use of all CPU cores on a machine/instance. It removes the limitations of having to run your Node.js server as a single thread and makes your backend resilient by automatically recovering from worker crashes and aggregating errors into a central log.

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      What companies use deepstream.io?
      What companies use Socket.IO?
      What companies use SocketCluster?

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      What tools integrate with deepstream.io?
      What tools integrate with Socket.IO?
      What tools integrate with SocketCluster?
        No integrations found

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        Blog Posts

        What are some alternatives to deepstream.io, Socket.IO, and SocketCluster?
        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.
        ws
        It is a simple to use, blazing fast, and thoroughly tested WebSocket client and server implementation.
        Pusher
        Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.
        Google Cloud Pub/Sub
        Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between independent applications. You can leverage Cloud Pub/Sub’s flexibility to decouple systems and components hosted on Google Cloud Platform or elsewhere on the Internet.
        SignalR
        SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.
        See all alternatives