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SignalR VS Apache Spark

Compare SignalR VS Apache Spark and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SignalR logo SignalR

SignalR is a server-side software system designed for writing scalable Internet applications, notably web servers.

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • SignalR Landing page
    Landing page //
    2023-09-20
  • Apache Spark Landing page
    Landing page //
    2021-12-31

SignalR videos

+ Add

SignalR Tutorial 1 - What is SignalR?

More videos:

  • Review - SignalR Deep Dive: Building Servers - David Fowler & Damian Edwards
  • Tutorial - SignalR Tutorial 3 - Why Use SignalR?
  • Review - Real-time web applications with ASP.NET Core SignalR

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to SignalR and Apache Spark)

SignalR

Apache Spark

Developer Tools
100 100%
Developer Tools
0% 0
Databases
0 0%
Databases
100% 100
App Development
100 100%
App Development
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using SignalR and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare SignalR and Apache Spark

SignalR Reviews

Essential .NET Core Libraries that Every Programmer should know
You can include it in your code by configuring the SignalR API, which creates remote procedure calls for the server-client architecture. In addition, it manages the communication channel and resources for seamlessly transferring data during high traffic.
Source: positiwise.com
12 Most Preferred latest .NET Libraries of 2022
SignalR offers real-time web integration for .NET core apps through its SignalR .NET core library. Using it, developers can push/add data from the server into their applications. Features: Automatic connection management. Simultaneous message-sending to all clients. Scalable to handle increasing traffic. A group of clients can be notified at once with a message.
Source: www.bigscal.com
SignalR Alternatives
SignalR is basically used to allow connection between client and server or vice-versa. It is a type of bi-directional communication between both the client and server. SignalR is compatible with web sockets and many other connections, which help in the direct push of content over the server. There are many alternatives for signalR that are used, like Firebase, pusher,...
Source: www.educba.com

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than SignalR. While we know about 56 links to Apache Spark, we've tracked only 4 mentions of SignalR. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SignalR mentions (4)

  • How can I achieve client-server communication as seamless as Blazor Server for Blazor WebAssembly?
    Blazor Server basically has the server remote control puppet everything on the client through SignalR. Source: 10 months ago
  • Creating a Lightweight Connection Between C# and Python - Over Internet
    SignalR is a layer over websockets, and is available for python. Source: about 1 year ago
  • I'm new to C#, have a little C++ and Java experience from high school and college. My goal is to make an application for two players to play Go.
    Since Go is a pretty simple game and not very graphic intensive, a simple approach would be to use SignalR on ASP.NET, where the server maintains the game board state and just sends minimal messages (for example, piece X moved to location Y, and whose turn it is now) to each player after their respective move in turn. Source: about 1 year ago
  • .NET Modern Task Scheduler
    SignalR and Pinia for real-time stat updates in the dashboard UI. Source: about 1 year ago

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing SignalR and Apache Spark, you can also consider the following products

Socket.io - Realtime application framework (Node.JS server)

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

Hadoop - Open-source software for reliable, scalable, distributed computing

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