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Django VS AWS Data Wrangler

Compare Django VS AWS Data Wrangler and see what are their differences

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Django logo Django

The Web framework for perfectionists with deadlines

AWS Data Wrangler logo AWS Data Wrangler

Pandas on AWS. Contribute to awslabs/aws-data-wrangler development by creating an account on GitHub.
  • Django Landing page
    Landing page //
    2018-09-30
  • AWS Data Wrangler Landing page
    Landing page //
    2023-08-29

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.

AWS Data Wrangler features and specs

No features have been listed yet.

Django videos

+ Add

Python Django

AWS Data Wrangler videos

+ Add

AWS Tutorials - Introduction to AWS Data Wrangler

More videos:

  • Review - AWS Data Wrangler: Get Glue Catalog Table Description
  • Review - AWS Data Wrangler: Write Parquet to AWS S3

Category Popularity

0-100% (relative to Django and AWS Data Wrangler)

Django

AWS Data Wrangler

Web Frameworks
100 100%
Web Frameworks
0% 0
Databases
0 0%
Databases
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Django and AWS Data Wrangler. 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 Django and AWS Data Wrangler

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

AWS Data Wrangler Reviews

We have no reviews of AWS Data Wrangler yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Django should be more popular than AWS Data Wrangler. It has been mentiond 15 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.

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 / 11 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

AWS Data Wrangler mentions (4)

  • Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
    I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool. Source: over 1 year ago
  • Redshift API vs. other ways to connect?
    Awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler. Source: over 3 years ago
  • Parquet files
    AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler. Source: over 3 years ago
  • Go+: Go designed for data science
    Yep, agreed. Go is a great language for AWS Lambda type workflows. Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution. - Source: Hacker News / about 4 years ago

What are some alternatives?

When comparing Django and AWS Data Wrangler, you can also consider the following products

Laravel - A PHP Framework For Web Artisans

nSpek - nSpek, build forms and mobile checklists without coding or developers. Canadian Digital Inspections and Form Builder Provider for Heavy Industries such as Mining and Construction.

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

Serverspec - Serverspec.github.com :

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

Dask - Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

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