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SignalR VS Spark Streaming

Compare SignalR VS Spark Streaming and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • SignalR Landing page
    Landing page //
    2023-09-20
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

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

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

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

SignalR

Spark Streaming

Developer Tools
100 100%
Developer Tools
0% 0
Stream Processing
0 0%
Stream Processing
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 Spark Streaming. 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 Spark Streaming

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

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
Be the first one to post

Social recommendations and mentions

SignalR might be a bit more popular than Spark Streaming. We know about 4 links to it since March 2021 and only 3 links to Spark Streaming. 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: 11 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

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

What are some alternatives?

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

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

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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