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SignalR VS Apache Cassandra

Compare SignalR VS Apache Cassandra and see what are their differences

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SignalR logo SignalR

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

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • SignalR Landing page
    Landing page //
    2023-09-20
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

SignalR features and specs

  • Real-time communication
    SignalR enables real-time web functionality, allowing server-side code to push content to connected clients instantly. This is crucial for applications like live chat, real-time notifications, and live data feeds.
  • Simplified development
    SignalR provides a high-level API that abstracts much of the complexity involved in creating real-time web applications, making the development process easier and more efficient.
  • Automatic Reconnection
    SignalR includes automatic reconnection capabilities, so if a client connection is lost, it can automatically try to re-establish the connection without manual intervention.
  • Cross-platform support
    Being part of the ASP.NET Core suite, SignalR works across different platforms including Windows, macOS, and Linux, providing greater flexibility in deployment.
  • Transport fallback
    SignalR supports multiple transport protocols (WebSocket, Server-Sent Events, and Long Polling) and can smoothly fall back to a lesser protocol if the preferred one is not available.
  • Security
    SignalR comes with built-in support for authentication and authorization mechanisms to ensure that only authorized users can connect and communicate through the service.

Possible disadvantages of SignalR

  • Scalability concerns
    While SignalR works well for small to medium applications, scaling to a large number of concurrent connections can require significant investments in infrastructure, such as deploying a SignalR backplane.
  • Performance overhead
    The abstraction provided by SignalR can introduce performance overhead, which may not be suitable for applications demanding high performance and low latency.
  • Limited PaaS support
    Although SignalR can be hosted on various platforms, its integration with some Platform as a Service (PaaS) offerings is less mature compared to other technologies designed for real-time communication.
  • Complex deployment
    Setting up a SignalR application, especially with considerations for scaling and high availability, can be complex and require deep knowledge of the underlying infrastructure.
  • Client compatibility
    While SignalR supports multiple clients including JavaScript, .NET, and Java, it may still face compatibility issues with less commonly used technologies or older client systems.
  • Debugging challenges
    Debugging real-time applications built with SignalR can be more challenging compared to traditional web applications due to their asynchronous nature and multiple transport protocols.

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

SignalR videos

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 Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to SignalR and Apache Cassandra)
Developer Tools
100 100%
0% 0
Databases
0 0%
100% 100
App Development
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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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 Cassandra

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 Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than SignalR. It has been mentiond 44 times since March 2021. 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 (5)

  • Get Started with Serverless Architectures: Top Tools You Need to Know
    Azure Functions integrates with most tools in the Microsoft ecosystem, including Azure Queue (adding messages to a queue) and SignalR (sending real-time updates). This makes Azure Functions the perfect choice for real-time applications like chat apps. Here are the top features:. - Source: dev.to / about 2 months ago
  • 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: almost 2 years ago
  • Creating a Lightweight Connection Between C# and Python - Over Internet
    SignalR is a layer over websockets, and is available for python. Source: about 2 years 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 2 years ago
  • .NET Modern Task Scheduler
    SignalR and Pinia for real-time stat updates in the dashboard UI. Source: about 2 years ago

Apache Cassandra mentions (44)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 25 days ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 11 months ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
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What are some alternatives?

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

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

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.