Socket.io VS Spark Streaming

Socket.io Reviews

Spark Streaming Reviews

Socket.io mentions (718)

• Create a Chat with Laravel and Socket.io

  Previously we created a chat with pusher. But this time we are going to do it with Socket.io. Socket.io is a NodeJS library. With it we can create our own servers. This is cheaper than using pusher server and we have more control on the code. - Source: dev.to / 8 days ago

• Building a GitHub activity feed with Node.js and Socket.io

  The first is the script tag in the head of our HTML document that loads the Socket.IO client library. This script tag includes the Socket.IO client library that will communicate with our socket.io server from the code above. - Source: dev.to / 26 days ago

• Mastering Microservices: A Hands-On Tutorial with Node.js, RabbitMQ, Nginx, and Docker

  Before diving into this tutorial, if you find microservices mysterious, check out my previous article for a detailed explanation. In this hands-on tutorial, we'll build a real-time chat server using Node.js, Socket.io, RabbitMQ, and Docker. Get ready for a practical journey into the world of microservices! Let's begin. - Source: dev.to / 3 months ago

• WebSockets Unlocked: Mastering the Art of Real-Time Communication

  Now we will be implementing socket logic using socket.io for building websockets. This library provides an abstraction layer on top of WebSockets, simplifying the process of creating real-time applications. For better maintainability, it is recommended to create a separate file for socket calls. To do this, navigate to the src folder, create a folder named services, and inside it, create a file named socket.ts... - Source: dev.to / 4 months ago

• Socket io not working on deployed version

  Hi I made a chat app using socket.io it worked fine locally but when I deployed the app on render.com socket is not working properly I have to refresh the page to see new messages please help... Source: 5 months ago

Spark Streaming mentions (3)

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago

• Machine Learning Pipelines with Spark: Introductory Guide (Part 1)

  Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago

• Spark for beginners - and you

  Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago