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Kafka Streams VS ASP.NET

Compare Kafka Streams VS ASP.NET and see what are their differences

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Kafka Streams logo Kafka Streams

Apache Kafka: A Distributed Streaming Platform.

ASP.NET logo ASP.NET

ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
  • Kafka Streams Landing page
    Landing page //
    2022-11-21
  • ASP.NET Landing page
    Landing page //
    2023-04-29

Kafka Streams features and specs

  • Scalability
    Kafka Streams is designed to scale horizontally, allowing you to handle large volumes of data by distributing processing across multiple nodes.
  • Integration with Kafka
    Kafka Streams is part of the Apache Kafka ecosystem, providing seamless integration with Kafka topics for both input and output, simplifying data pipeline creation.
  • Exactly-once semantics
    Kafka Streams offers exactly-once processing semantics, which ensures data consistency and accuracy in scenarios where data duplication or loss is unacceptable.
  • Microservices Architecture
    It supports microservices architecture by allowing developers to build lightweight stream processing applications that are easy to deploy and manage.
  • Stateful and Stateless Processing
    Supports both stateful (requiring state storage and access) and stateless processing, providing flexibility in stream processing capabilities.
  • Fault Tolerant
    Kafka Streams is designed to be fault-tolerant, automatically recovering from failures and resuming processing without data loss.

Possible disadvantages of Kafka Streams

  • Complexity
    Setting up and configuring Kafka Streams can be complex, requiring a good understanding of Apache Kafka, stream processing principles, and application logic.
  • Resource Intensive
    Kafka Streams can be resource-intensive, demanding sufficient CPU and memory resources, especially when dealing with high-volume data streams.
  • Java Specific
    Primarily designed for Java applications, which may limit its ease of use for teams or projects that are based in other programming languages.
  • Limited UI Tools
    Lacks advanced UI tools for monitoring and managing stream applications, which can make it challenging for users to oversee and troubleshoot applications.
  • Slow Start-up Time
    Kafka Streams applications can have relatively slow start-up times, which might impact scenarios requiring quick deployment and scaling.

ASP.NET features and specs

  • Performance
    ASP.NET is known for its high performance and scalability. It compiles server-side code to DLL files, which is executed on the server side, thereby speeding up the application's response time.
  • Security
    ASP.NET provides built-in security features like form authentication and Windows authentication, as well as protection against common threats such as SQL injection, cross-site scripting, and request forgery.
  • Rich Toolbox
    Visual Studio, the Integrated Development Environment (IDE) for ASP.NET, offers a rich toolbox with a plethora of controls, automatic deployment features, and other tools that significantly speed up development.
  • Cross-Platform Support
    ASP.NET Core is a cross-platform framework, which means you can run your web applications on Windows, Linux, and macOS.
  • Community and Support
    ASP.NET has a strong community and extensive documentation, making it easier to find solutions to problems and ensuring continuous improvement and support.

Possible disadvantages of ASP.NET

  • Learning Curve
    The framework can be complex for beginners, especially those without experience in C# or the .NET ecosystem.
  • Cost
    While ASP.NET Core is free and open-source, some advanced features and tools require a Visual Studio subscription, which can be expensive.
  • Hosting
    Although ASP.NET Core has improved in terms of cross-platform hosting, traditional ASP.NET applications are primarily optimized for Windows servers, limiting hosting options.
  • Resource Intensive
    ASP.NET applications can be more resource-intensive than applications built with some other frameworks, which can lead to higher infrastructure costs.
  • Complexity
    The framework offers a lot of features and functionalities, which can sometimes make it overly complex and harder to manage for smaller projects.

Kafka Streams videos

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

More videos:

  • Review - Big Data Analytics in Near-Real-Time with Apache Kafka Streams - Allen Underwood
  • Review - Spring Tips: Spring Cloud Stream Kafka Streams

ASP.NET videos

Build Rating and Review System in ASP.NET MVC and Entity Framework

More videos:

  • Review - ASP.NET MVC - Review 0
  • Review - IMDeanyP Movie Review Site - ASP.NET / C# / SQL Server / MVC / Entity Framework

Category Popularity

0-100% (relative to Kafka Streams and ASP.NET)
Stream Processing
100 100%
0% 0
Developer Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Web Frameworks
0 0%
100% 100

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Reviews

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ASP.NET Reviews

The 20 Best Laravel Alternatives for Web Development
ASP.NET’s got that Microsoft muscle, a powerhouse of a framework for building dynamic web services and more. It lets you roll out robust websites with the smoothness that comes with deep pockets. Perfect for .NET software development teams.
Top 10 Phoenix Framework Alternatives
Moving over to the .NET platform, Asp.Net is an open-source web framework developed by Microsoft that allows developers to build dynamic web pages, apps, and services using HTML, JavaScript, and CSS.
10 Ruby on Rails Alternatives For Web Development in 2022
Last but not least, a back-end web framework created by Microsoft for the development of dynamic web pages - ASP.NET. Built on top of C# it is one the fastest frameworks available on the market. ASP.NET is capable of handling 7.01 million requests per second while Django handles only 79,266 requests. The framework is mainly used for building web applications, APIs,...

Social recommendations and mentions

Based on our record, ASP.NET should be more popular than Kafka Streams. It has been mentiond 22 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.

Kafka Streams mentions (14)

  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / about 1 year ago
  • Forward Compatible Enum Values in API with Java Jackson
    We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article. - Source: dev.to / over 2 years ago
  • Kafka Internals - Learn kafka in-depth (Part-1)
    In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. We’ll discuss these at the end of the series. - Source: dev.to / over 2 years ago
  • Event streaming in .Net with Kafka
    Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 2 years ago
  • Apache Pulsar vs Apache Kafka - How to choose a data streaming platform
    Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing... - Source: dev.to / over 2 years ago
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ASP.NET mentions (22)

  • 30,656 Pages of Books About the .NET Ecosystem: C#, Blazor, ASP.NET, & T-SQL
    Most of the books teach C# and .NET, ASP.NET, Blazor, or T-SQL. I also found some .NET-specific coverage of wider topics: architecture and design, concurrency, automated tests, functional programming, and dependency injection. - Source: dev.to / 2 months ago
  • Diversify Your Tech Stack: Uncovering Powerful Node js Alternatives
    Built by Microsoft, .NET is a high-performance application platform that uses C# for programming. .NET is cross-platform and comes with plenty of libraries and APIs covering collections, networking, and machine learning to build different types of applications. ASP.NET Core widens the .NET developer platform with libraries and tools geared towards web applications. - Source: dev.to / 9 months ago
  • C# Fundamentals
    Web Applications: ASP.NET, a powerful framework for building web applications, is primarily based on C#. Developers can create dynamic websites, web APIs, and services with ASP.NET. - Source: dev.to / 12 months ago
  • What’s New in Bold Reports 6.1 April 2024 Release
    The Bold Reporting Tools ASP.NET MVC and ASP.NET Web Forms will no longer be deployed in the embedded build. However, bug fixes are diligently transferred to our public repositories until Microsoft officially announces the end of support for these platforms. For new web application development or to stay up-to-date, Blazor or ASP.NET Core are recommended. - Source: dev.to / about 1 year ago
  • Is ASP.NET Core the next step in my career being an ASP.NET MVC developer? Or are there other technologies I should look at?
    Sorry for the possibly dumb questions. But then does .NET 5 have a "Model View Controller" workflow? I'm seeing ASP.NET still exists. But it's just "ASP.NET", no "MVC" or "Core" attached to the end. And they seem to recommend Blazor instead of C# which is something I only know the name of. Source: over 2 years ago
View more

What are some alternatives?

When comparing Kafka Streams and ASP.NET, you can also consider the following products

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

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

Django - The Web framework for perfectionists with deadlines

Apache Storm - Apache Storm is a free and open source distributed realtime computation system.

Laravel - A PHP Framework For Web Artisans