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Django VS Kafka Streams

Compare Django VS Kafka Streams and see what are their differences

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Django logo Django

The Web framework for perfectionists with deadlines

Kafka Streams logo Kafka Streams

Apache Kafka: A Distributed Streaming Platform.
  • Django Landing page
    Landing page //
    2018-09-30
  • Kafka Streams Landing page
    Landing page //
    2022-11-21

Django features and specs

  • Rapid Development
    Django allows developers to swiftly create web applications with its 'batteries-included' philosophy, providing built-in features and tools out-of-the-box.
  • Scalability
    Django is designed to help developers scale applications. It supports a pluggable architecture, making it easy to grow an application organically.
  • Security
    Django includes various security features like protection against SQL injection, cross-site scripting, cross-site request forgery, and more, promoting the creation of secure web applications.
  • ORM (Object-Relational Mapping)
    Django’s powerful ORM simplifies database manipulation by allowing developers to interact with the database using Python code instead of SQL queries.
  • Comprehensive Documentation
    Django offers detailed and extensive documentation, aiding developers in effectively understanding and utilizing its features.
  • Community Support
    With a large and active community, Django benefits from numerous third-party packages, plugins, and extensive support forums.

Possible disadvantages of Django

  • Steep Learning Curve
    For beginners, Django’s complex features and components can be challenging to grasp, leading to a steep learning curve.
  • Monolithic Framework
    Django’s monolithic structure can limit flexibility, potentially resulting in over-engineered solutions for simpler, smaller projects.
  • Template Language Limitations
    Django’s template language, while useful, is less powerful compared to alternatives like Jinja2, limiting functionality in complex frontend requirements.
  • Heavyweight
    Django's comprehensive feature set can result in high overhead, making it less ideal for lightweight applications or microservices.
  • Opinionated Framework
    Django follows a ‘Django way’ of doing things, which can be restrictive for developers who prefer less constrained, highly customized coding practices.
  • Lack of Asynchronicity
    Django’s built-in functionalities do not fully support asynchronous programming, which can be a limitation for handling real-time applications and processes requiring concurrency.

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.

Django videos

+ Add

Python Django

Kafka Streams videos

+ Add

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

Category Popularity

0-100% (relative to Django and Kafka Streams)

Django

Kafka Streams

Web Frameworks
100 100%
Web Frameworks
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Big Data
0 0%
Big Data
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 Django and Kafka Streams

Django Reviews

The 20 Best Laravel Alternatives for Web Development
The first of these Laravel alternatives is Django. Django’s like that one-stop shop where you grab everything you need for a full-blown web project, all off one shelf. It’s the big-brained Python framework that anticipates your moves, keeping you steps ahead with a crazy stack of built-in features.
Source: tms-outsource.com
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
25 Python Frameworks to Master
You won’t go wrong by choosing Django for your next web project. It’s a powerful web framework that provides everything you need to build fast and reliable websites. And if you need any additional features — say, the ability to create a REST API to use with modern frontend frameworks like React or Angular — you can use extensions like Django REST framework.
Source: kinsta.com
3 Web Frameworks to Use With Python
myproject/ is the directory that contains the configuration and settings for the Django project__init__.py is an empty script that tells Python that this directory should be treated as a Python packageasgi.py is a script that defines ASGI application (Asynchronous Server Gateway Interface) for serving this project. ASGI is a specification for building asynchronous web...
Source: www.stratascratch.com
Top 10 Phoenix Framework Alternatives
Phoenix borrows heavily from other frameworks built on the Model-View-Controller (MVC) architecture, like Rails and Django, providing a large part of everything you need to develop a web app out of the box, albeit in a less “batteries included” manner.
Source: blog.back4app.com

Kafka Streams Reviews

We have no reviews of Kafka Streams yet.
Be the first one to post

Social recommendations and mentions

Django might be a bit more popular than Kafka Streams. We know about 15 links to it since March 2021 and only 14 links to Kafka Streams. 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.

Django mentions (15)

  • Emails Setup in Django Using AWS
    Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / 10 months ago
  • Top 10 Backend Frameworks in 2022
    Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 2 years ago
  • Boss wants me to make a student management system
    This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so I’d recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 3 years ago
  • What's django equivalent to ruby gems? Django beginner here
    The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: almost 3 years ago
  • What's django equivalent to ruby gems? Django beginner here
    Im teaching myself to build a backend SaaS. Can you build it just as fast as with RoR and gems? Is it all on the documentation on djangoproject.com? Just learning how to use it atm, any good tutorials as well? Source: almost 3 years ago
View more

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
View more

What are some alternatives?

When comparing Django and Kafka Streams, you can also consider the following products

Laravel - A PHP Framework For Web Artisans

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.

ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.

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

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