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

Socket.IO vs Streamdata.io

OverviewDecisionsComparisonAlternatives

Overview

Socket.IO
Socket.IO
Stacks13.6K
Followers11.0K
Votes776
Streamdata.io
Streamdata.io
Stacks1
Followers24
Votes2

Socket.IO vs Streamdata.io: What are the differences?

<Write Introduction here>

1. **Real-time Communication**: Socket.IO is a real-time engine that provides real-time bidirectional event-based communication, while Streamdata.io is a proxy-as-a-service that turns request/response APIs into real-time event-driven APIs.
2. **Data Transformation**: Socket.IO focuses on sending data over WebSocket connections and handling events, whereas Streamdata.io specializes in transforming data from REST APIs into a stream of updates using Server-Sent Events or WebSockets.
3. **Scalability and Load Distribution**: Socket.IO allows for horizontal scaling by adding more nodes to distribute incoming connections, while Streamdata.io helps in load distribution by caching data and managing API requests efficiently.
4. **Client Compatibility**: Socket.IO libraries are available for various programming languages and platforms, making it versatile for client-side development, whereas Streamdata.io is primarily used on the server-side as a proxy tool to enhance API functionalities.
5. **Offline Support**: Socket.IO does not inherently support offline functionality, but it can be integrated with other technologies to achieve offline capabilities, whereas Streamdata.io offers offline storage and synchronization options to ensure seamless operation even in offline scenarios.
6. **Security**: Socket.IO provides basic security features like message encoding and protection against cross-site scripting, while Streamdata.io focuses more on data privacy and encryption during data transmission for enhanced security measures.

In Summary, Socket.IO is primarily designed for real-time bidirectional communication over WebSocket connections, while Streamdata.io excels in transforming REST APIs into real-time event-driven APIs with a focus on data transformation and load distribution.

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Advice on Socket.IO, Streamdata.io

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
Anil
Anil

Mar 7, 2020

Needs advice

I want to add uWebSockets.js in my application for real-time chatting, for that, I have to draw a UML and ufd diagram flow then I have to implement it in my code, my stack is node js, android, express, MongoDB, Redis. how can I do this? I want to add uWebSockets.js in my application for real-time chatting, for that, I have to draw a UML and ufd diagram flow then I have to implement it in my code, my stack is node js, android, express, MongoDB, Redis. how can I do this?I want to add uWebSockets.js in my application for real-time chatting, for that, I have to draw a UML and ufd diagram flow then I have to implement it in my code, my stack is node js, android, express, MongoDB, Redis. how can I do this?i want to add uWebSockets.js in my application for real time chatting, for that i have to draw a uml and ufd diagram flow then i have to implement it in my code , my stack is node js , android , express , mongoDb, redis . how can i do a this?

46.7k views46.7k
Comments

Detailed Comparison

Socket.IO
Socket.IO
Streamdata.io
Streamdata.io

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

Streamdata.io is a real-time cache proxy allowing you to poll JSON REST APIs and push updates to clients. Streamdata.io also keeps a history of modifications that occur on the data between two pollings. This way, streamdata.io is able to give you the list of modifications which happened since last time you fetched the data.

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
1
Followers
11.0K
Followers
24
Votes
776
Votes
2
Pros & Cons
Pros
  • 219
    Real-time
  • 143
    Node.js
  • 141
    Event-based communication
  • 102
    Open source
  • 102
    WebSockets
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
  • 1
    The quickest way to turn any existing API into stream
  • 1
    Best way to stream a static API
Integrations
Auth0
Auth0
Gatsby
Gatsby
Flutter
Flutter
React
React
Backbone.js
Backbone.js
Cloud Firestore
Cloud Firestore
Outbrain
Outbrain
No integrations available

What are some alternatives to Socket.IO, Streamdata.io?

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.

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.

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.

Ably

Ably

Ably offers WebSockets, stream resume, history, presence, and managed third-party integrations to make it simple to build, extend, and deliver digital realtime experiences at scale.

Syncano

Syncano

Syncano is a backend platform to build powerful real-time apps more efficiently. Integrate with any API, minimize boilerplate code and control your data - all from one place.

NATS

NATS

Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

SocketCluster

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.

deepstream.io

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.

8base

8base

A cloud service designed to power enterprise-grade web and mobile applications that require support for large numbers of users, complex data and transactional requirements, comprehensive role-based security and a modern look-and-feel.

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