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Python VS Azimutt

Compare Python VS Azimutt and see what are their differences

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Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Azimutt logo Azimutt

Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)
  • Python Landing page
    Landing page //
    2021-10-17

  • Azimutt Landing page
    Landing page //
    2023-08-14

If you are looking to explore and understand your database (relational or document), Azimutt is the tool you need. It's the first entity relationship diagram built to handle big database schema (up to 1000 tables) with dedicated features: search, find path and even schema analysis to keep it consistent.

Azimutt

$ Details
freemium โ‚ฌ7.0 / Monthly (Solo)
Platforms
Web Browser
Release Date
2021 November

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

Azimutt features and specs

  • User-Friendly Interface
    Azimutt offers a clean and intuitive user interface, making it easy to navigate and use for both technical and non-technical users.
  • Visualization of Database Schema
    The tool provides effective visualization options for database schemas, enabling users to better understand and manage complex databases.
  • Collaborative Features
    Azimutt supports collaboration, allowing multiple users to work together on the same database project, enhancing teamwork and productivity.
  • No Installation Required
    As a web-based application, it does not require any installation or setup, making it convenient to access from any device with internet connectivity.

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Azimutt videos

No Azimutt videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Python and Azimutt)
Programming Language
100 100%
0% 0
Database Tools
0 0%
100% 100
OOP
100 100%
0% 0
Databases
0 0%
100% 100

Questions & Answers

As answered by people managing Python and Azimutt.

How would you describe the primary audience of your product?

Azimutt's answer:

Azimutt is mainly targeted at developers working with databases, allowing them to easily explore and understand them by either importing the schema or connecting to a live instance.

As it's quite easy to use, we have seen other profile such as product owners, engineering managers and even CFOs using it to better understand the product they build or extract meaningful data on their own ^^

What's the story behind your product?

Azimutt's answer:

Early 2021 I joined Doctolib, a health startup very successful in France, and discovered their big Ruby on Rails monolith backed by a large PostgreSQL database with more than 700 business tables (more then 1300 in total). As an architect I worked with several teams and needed to understand their models but neither Ruby, Rails or the structure.sql were very helpful for such a big app. So I looked for a tool but they all failed with such a large database, so after a few month and tens of tools tested, I decided to build my own: Azimutt. Now it has evolved a lot and we are still very active to enable new usages every months. I believe it's a solid product and quite unique โค๏ธ

Which are the primary technologies used for building your product?

Azimutt's answer:

From development languages, Azimutt is built with Elm/TypeScript for the frontend, Elixir/Phoenix for the backend and PostgreSQL/S3 as storage.

What makes your product unique?

Azimutt's answer:

It's the only ERD able to handle databases with many tables (>1000) nicely thanks to unique features:

  • layouts to see only the relevant tables (not all are useful for everyone)
  • smart search everywhere

It's also very unique in the sense it's made to explore and understand real world databases, from development to production with larges features:

  • database design with an intuitive DSL
  • database documentation, on any table, column or layout (markdown text and tags)
  • database analysis to make sure best practices are in place
  • innovative data exploration

Thousands of developers already love it, give it a try, we have several samples you can try right away!

Why should a person choose your product over its competitors?

Azimutt's answer:

Azimutt is the all-in-one app to explore real world databases. If you look for very specialized features some competitors may be more suited, but if you want a versatile app to explore and understand your database, we believe no competitor come close to us.

  • if you have more than 50 tables, there is no match, you should be amazed by Azimutt features built for large databases
  • if you want to mix data exploration and schema exploration, it's also very unique
  • if you care about open source, visit our GitHub

Who are some of the biggest customers of your product?

Azimutt's answer:

Azimutt is used at Doctolib (3000 people company) and some other french scale ups I can't disclose yet.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Python and Azimutt

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Letโ€™s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Azimutt Reviews

We have no reviews of Azimutt yet.
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Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than Azimutt. While we know about 299 links to Python, we've tracked only 4 mentions of Azimutt. 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.

Python mentions (299)

  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / about 2 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / about 2 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ€” no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โ€œSave this dataโ€ - โ€œGet this dataโ€ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
  • Asyncio: Interview Questions and Practice Problems
    Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
View more

Azimutt mentions (4)

  • SQLitebrowser: First update in three years (July 2024)
    Not mine but someone showed me this : https://azimutt.app/. - Source: Hacker News / almost 2 years ago
  • SQLite Schema Diagram Generator
    I just want to get a basic overview quickly. An old colleague of mine created an interactive web app that does this. We use it internally and I find it super useful. Supports SQLite, among others: https://azimutt.app/. - Source: Hacker News / over 2 years ago
  • One Month Post Product Hunt Launch: An Honest Review of Azimutt.app launch
    Hello Dev.to community, I'm Sam, a proud part of a dedicated trio that built Azimutt.app. - Source: dev.to / about 3 years ago
  • pgAdmin Generate ERD stuck on load
    A couple of options here: - From a database. Generate ERD by connecting to your database directly. I've used this as a quick way to generate a diagram from my local or even QA DB (not prod DB for obvious security reasons). - From a schema dump file. Take a pg dump and then generate an ERD from the dump file. There are ERD tools like dbdaddy.dev and azimutt.app that support these options. Source: over 3 years ago

What are some alternatives?

When comparing Python and Azimutt, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

DrawSQL - Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

DBDiagram.io - Free database diagrams designer for analysts & developers ๐Ÿ› 

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Supabase - An open source Firebase alternative