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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Realtime Backend API
  5. Apollo vs Socket.IO

Apollo vs Socket.IO

OverviewDecisionsComparisonAlternatives

Overview

Socket.IO
Socket.IO
Stacks13.6K
Followers11.0K
Votes776
Apollo
Apollo
Stacks2.7K
Followers1.8K
Votes25

Apollo vs Socket.IO: What are the differences?

Introduction

This markdown code provides a comparison between Apollo and Socket.IO for a website.

  1. Key Difference 1: Real-time functionality Socket.IO is primarily designed for real-time, bidirectional communication between the client and the server. It enables event-based communication, allowing both the client and server to send and receive data instantly. On the other hand, Apollo is a GraphQL client that facilitates efficient data fetching and caching, but it does not have built-in real-time functionality. To achieve real-time updates with Apollo, a separate solution like subscriptions or websockets needs to be integrated.

  2. Key Difference 2: Data Fetching Apollo is specifically built to work with GraphQL servers and allows for flexible and efficient data fetching. It provides powerful features like automatic batching, caching, and optimistic UI updates. Socket.IO, on the other hand, can be used with any server-side technology and supports different data formats like JSON, XML, HTML, etc. It does not have the advanced data fetching capabilities of Apollo, but it provides low-level control over the data transfer process.

  3. Key Difference 3: Protocol Support Apollo primarily uses HTTP or HTTPs protocols for communication between the client and the server. It leverages the query and mutation operations of GraphQL to fetch and modify data. Socket.IO, on the other hand, uses websockets as its underlying protocol. Websockets provide a persistent connection and allow bidirectional communication, making Socket.IO suitable for real-time applications where instant updates are required.

  4. Key Difference 4: Ecosystem and Community Apollo has a rapidly growing and active community due to its popularity and support from major companies like Meteor Development Group and Apollo GraphQL. It has a comprehensive ecosystem with tools, libraries, and resources to enhance the GraphQL development experience. Socket.IO also has a significant community, but it is primarily focused on real-time applications and not specific to a particular technology like Apollo.

  5. Key Difference 5: Scalability Apollo is designed to work well with large-scale applications due to its efficient data fetching and caching mechanisms. It supports features like automatic persisted queries and incremental data delivery, which optimize network usage and improve performance. Socket.IO, being a real-time communication library, can also scale to handle a large number of concurrent connections, making it suitable for applications that require real-time updates for multiple clients.

  6. Key Difference 6: Server Compatibility Apollo requires a GraphQL server to handle GraphQL operations and provide the necessary data. It works seamlessly with various GraphQL server implementations like Apollo Server, Prisma, and Hasura. Socket.IO, on the other hand, can be used with any server-side technology that supports websockets. It is not limited to a specific server implementation and can be integrated with frameworks like Express, Flask, Django, etc.

In summary, Apollo is a GraphQL client focused on efficient data fetching and caching, primarily using HTTP or HTTPs protocols, while Socket.IO is a real-time communication library based on websockets, providing bidirectional communication and event-based messaging between clients and servers in various data formats.

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Advice on Socket.IO, Apollo

Noam
Noam

Jul 16, 2020

Needs adviceonNode.jsNode.jsExpressJSExpressJSReactReact

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.

1.15M views1.15M
Comments
Márton
Márton

CTO at Media4Care

Aug 31, 2020

Decided

We wanted to save as much time as possible when writing our back-end, therefore Apollo was out of the question, we went for an auto-generated API instead. Hasura looked good in the beginning, but we wanted to retain the ability to add a few manual resolvers and modifications to auto-generated ones, which ruled out Hasura. Postgraphile with its Plug-In architecture was the right choice for us, we never regretted it!

37.1k views37.1k
Comments
Raj
Raj

CTO & Founder at Novvum

Oct 5, 2020

Review

Hey Brian, it's hard to pick a best tool for any situation, however, there are tools that offer advantages dependent on use case.

Server Side

If you're looking to quickly generate a GraphQL API, you can use a Graphql As A Service like FaunaDB, Slash Graphql, or 8base.

If you want something more advanced on the server side: Prisma with Postgres, Nexus, & Apollo Server (js) is a great stack to try out. Examples here

Check out TypeORM and TypeGraphQL too

If you're have some existing data on Postgres, PostGraphile or Hasura are your best bet!

If you are using a lot of AWS services, check out Amplify and AppSync. Tutorial here

On the client side:

Check out Gatsby! Graphql is already configured and used to query static or remote information at build time. It's a great way to get your feet wet!

Apollo Client is often the choice for more advanced use cases. But URLQL and gqless are some pretty good alternatives too!

Hope this helps! 👍

295 views295
Comments

Detailed Comparison

Socket.IO
Socket.IO
Apollo
Apollo

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.

Real-time analytics - Push data to clients that gets represented as real-time counters, charts or logs.;Binary streaming - Starting in 1.0, it's possible to send any blob back and forth: image, audio, video.;Instant messaging and chat - Socket.IO's "Hello world" is a chat app in just a few lines of code.;Document collaboration - Allow users to concurrently edit a document and see each other's changes.
-
Statistics
Stacks
13.6K
Stacks
2.7K
Followers
11.0K
Followers
1.8K
Votes
776
Votes
25
Pros & Cons
Pros
  • 219
    Real-time
  • 143
    Node.js
  • 141
    Event-based communication
  • 102
    WebSockets
  • 102
    Open source
Cons
  • 12
    Bad documentation
  • 4
    Githubs that complement it are mostly deprecated
  • 3
    Doesn't work on React Native
  • 2
    Websocket Errors
  • 2
    Small community
Pros
  • 12
    From the creators of Meteor
  • 8
    Great documentation
  • 3
    Open source
  • 2
    Real time if use subscription
Cons
  • 1
    Increase in complexity of implementing (subscription)
  • 1
    File upload is not supported
Integrations
Auth0
Auth0
Gatsby
Gatsby
Flutter
Flutter
React
React
Backbone.js
Backbone.js
Cloud Firestore
Cloud Firestore
Outbrain
Outbrain
GraphQL
GraphQL

What are some alternatives to Socket.IO, Apollo?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Firebase

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.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

PubNub

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

SignalR

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.

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