Software Alternatives, Accelerators & Startups

Flask VS Modern Data Stack

Compare Flask VS Modern Data Stack and see what are their differences

Flask logo Flask

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

Modern Data Stack logo Modern Data Stack

A platform for everything you need to know about the Modern Data Stack⭐️ Companies & Categories shaping the Modern Data Stack📚 Data stacks of the world's top companies📖 Resources to get updates on the latest in this space🛠 Jobs in data engineering
  • Flask Landing page
    Landing page //
    2023-07-24
  • Modern Data Stack Landing page
    Landing page //
    2023-03-22

Flask features and specs

  • Simplicity
    Flask is a micro-framework, meaning it is lightweight, easy to understand, and simple to use. It requires minimal setup to get a web application up and running.
  • Flexibility
    Flask provides flexibility and control over the application's architecture, allowing developers to choose the components they need and avoid unnecessary bloat.
  • Extensibility
    Flask supports various extensions to add capabilities like database integration, form validation, and authentication without compromising its core simplicity.
  • Documentation
    Flask has comprehensive and well-organized documentation, making it easier for developers to learn and implement features effectively.
  • Community
    Flask has a large and active community, providing ample resources like tutorials, code snippets, and third-party libraries that can help speed up development.
  • Testing
    Flask is designed to be unit tested easily, allowing developers to test their applications and ensure reliability.

Possible disadvantages of Flask

  • Scalability
    Flask may not be as scalable as some other frameworks for very large applications due to its minimalist design and lack of built-in features.
  • Boilerplate Code
    Since Flask requires you to integrate and configure many components manually, codebases in Flask can sometimes contain a lot of boilerplate code.
  • Opinionated Architecture
    While Flask provides flexibility, it also means there are fewer conventions. Developers must make more architectural decisions, which can be challenging for large team collaboration.
  • Limited Tools
    Compared to more comprehensive frameworks, Flask offers fewer built-in tools and features, which may necessitate additional plugins or custom implementations.
  • Learning Curve for Complex Applications
    While Flask is easy to learn for simple applications, it can become complex to manage as the application grows, requiring a good understanding of design patterns and software architecture.

Modern Data Stack features and specs

  • Scalability
    The modern data stack is designed to handle large volumes of data, making it ideal for businesses that expect their data needs to grow over time. It can easily scale with increased data workload.
  • Flexibility
    The modern data stack is composed of modular components, allowing businesses to choose the best tools for their specific needs and swap them out as requirements change.
  • Cost Efficiency
    Using cloud-based solutions and a pay-as-you-go model, the modern data stack often reduces infrastructure costs compared to traditional on-premises data solutions.
  • Rapid Deployment
    Modern data stack tools are generally cloud-based with user-friendly interfaces, which facilitate quick setup and deployment without the need for extensive on-site infrastructure.
  • Advanced Analytics Capabilities
    The stack includes advanced analytics tools that enable real-time data processing and sophisticated data analyses, aiding businesses in making data-driven decisions.

Possible disadvantages of Modern Data Stack

  • Complex Integration
    Integrating various tools within the modern data stack can be complex, as companies often need skilled personnel to successfully combine multiple components into a seamless workflow.
  • Data Security Concerns
    Storing data on third-party cloud services introduces potential security risks, raising concerns about data breaches and compliance with data protection regulations.
  • Vendor Lock-In
    Depending heavily on a specific modern data stack vendor might result in difficulties if a business decides to switch vendors, as moving data and processes can be costly and time-consuming.
  • High Upfront Learning Curve
    Using cutting-edge tools and technologies can require significant time and effort for teams to learn, which might initially slow down productivity.
  • Ongoing Costs
    While the pay-as-you-go model can be cost-efficient, the ongoing subscription fees and additional costs for scaling can accumulate over time, potentially leading to budget management challenges.

Analysis of Flask

Overall verdict

  • Flask is a good choice for developers looking for a lightweight and flexible framework for building web applications, particularly if they value simplicity and control over out-of-the-box features.

Why this product is good

  • Flask is a microframework for Python, offering simplicity and flexibility, making it a good choice for small to medium-sized applications.
  • It has a simple core with easy-to-add extensions, allowing developers to customize their applications as needed.
  • Flask's lightweight nature means it has a small overhead, leading to faster development cycles and easier debugging.
  • It has a strong community and excellent documentation, providing ample resources for learning and troubleshooting.

Recommended for

  • Developers who prefer Python and want a minimalist approach to web development.
  • Those working on small to medium-sized applications or microservices.
  • Developers who appreciate a modular and extensible architecture.
  • Teams that require rapid prototyping or quick deployment cycles.

Flask videos

Built To Last A Life Time - Ragproper Modern Glass Flask Review

More videos:

  • Review - The Hip Flask Guide - Gentleman's Gazette
  • Review - 10 Best Flasks 2019

Modern Data Stack videos

The modern data stack sucks

More videos:

  • Review - Data Modeling in the Modern Data Stack
  • Review - What’s so modern about the modern data stack?

Category Popularity

0-100% (relative to Flask and Modern Data Stack)
Developer Tools
95 95%
5% 5
Web Frameworks
100 100%
0% 0
Tech
0 0%
100% 100
Python Web Framework
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Flask and Modern Data Stack

Flask Reviews

The 20 Best Laravel Alternatives for Web Development
Flask is the micro that’s got your back without trying to run the show. It comes with the essentials but trusts you to pick your tools — no baggage attached, truly Pythonic at heart.
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’ll also have access to some extension packages like Flask-RESTful, which adds support for building powerful REST APIs, and Flask-SQLAlchemy, a convenient way to use SQLAlchemy in your flask app.
Source: kinsta.com
3 Web Frameworks to Use With Python
Flask is a micro web framework for building web applications with Python. Here is the official web page of Flask.
Top 10 Phoenix Framework Alternatives
Flask is a micro-framework, i.e., it does not bundle tools and libraries and instead uses third party libraries to deliver functionalities.

Modern Data Stack Reviews

We have no reviews of Modern Data Stack yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Flask seems to be a lot more popular than Modern Data Stack. While we know about 42 links to Flask, we've tracked only 1 mention of Modern Data Stack. 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.

Flask mentions (42)

  • PSET 9 Finance - What is "disable response caching" and the function they ask to notice
    "After configuring Flask, notice how this file disables caching of responses (provided you’re in debugging mode, which you are by default in your code50 codespace), lest you make a change to some file but your browser not notice. ". Source: about 2 years ago
  • How to Send an Email in Python
    Flask, which offers a simple interface for email sending— Flask Mail. (Check here how to send emails with Flask). - Source: dev.to / over 2 years ago
  • Plotting Bookmarks with Flask, Matplotlib, and OAuth 2.0
    Lang="en"> Plot Bookmarks!{% block title %}{% endblock %} rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.2.1/css/bootstrap.min.css" /> class="container"> Plot Bookmarks by Date {% block containercontent %}{% endblock %} /> class="footer"> class="text-muted"> >This is a... - Source: dev.to / almost 3 years ago
  • Determining what version of Flask is installed
    What's the easiest way to determine which version of Flask is installed? Source: about 3 years ago
  • What is the point of uWSGI?
    I'm looking at the WSGI specification and I'm trying to figure out how servers like uWSGI fit into the picture. I understand the point of the WSGI spec is to separate web servers like nginx from web applications like something you'd write using Flask. What I don't understand is what uWSGI is for. Why can't nginx directly call my Flask application? Can't flask speak WSGI directly to it? Why does uWSGI need to get... Source: about 3 years ago
View more

Modern Data Stack mentions (1)

  • Data engineering development question
    Check out moderndatastack.xyz to learn more about the Modern Data Stack. Source: about 3 years ago

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