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DataGrip vs PyCharm: What are the differences?
Introduction
DataGrip and PyCharm are two popular Integrated Development Environments (IDEs) developed by JetBrains. While both IDEs are designed to enhance productivity and efficiency in software development, they have distinct features and target different user groups. In this markdown, we will highlight the key differences between DataGrip and PyCharm.
- Database-focused vs. Python-focused:
DataGrip is primarily focused on providing an extensive set of tools and features to work with databases. It offers advanced database management capabilities, allowing users to connect to various database systems, write complex queries, and visualize and analyze data. On the other hand, PyCharm is specifically tailored for Python development and provides comprehensive support for the Python programming language, including code editor, debugger, and helpful features for Python developers.
- User interface:
While both DataGrip and PyCharm share the same underlying IDE platform, their user interfaces are optimized for different purposes. DataGrip emphasizes database management functionality, offering dedicated features and panels for working with databases. In contrast, PyCharm's interface is designed to facilitate Python development, with features like code completion, navigation, and debugging tools taking the center stage.
- Code Editor:
Although both IDEs offer rich code editing features, there are differences in their capabilities. DataGrip provides a powerful SQL editor with syntax highlighting, code completion, and query analysis tools. It also offers code generation for common database tasks. On the other hand, PyCharm offers advanced Python code editing features such as automatic code formatting, refactoring, and debugging capabilities tailored specifically for Python development.
- Plugin ecosystem:
PyCharm benefits from an extensive plugin ecosystem, allowing developers to extend its functionality for various purposes. There are numerous plugins available for Python frameworks, version control systems, testing frameworks, and more. DataGrip, being focused on database management, does not have the same level of plugin support as PyCharm. The available plugins for DataGrip are mainly focused on database-specific features and integrations.
- Supported languages:
DataGrip supports multiple programming languages, including SQL, PL/SQL, and various database-specific scripting languages. It offers integrated support for these languages, making it easier to work with complex database systems. PyCharm, on the other hand, is specifically designed for Python development and provides dedicated support for Python, including the latest language features and frameworks.
- Pricing and licensing:
There is a difference in the pricing and licensing models between DataGrip and PyCharm. DataGrip is a paid IDE and requires a license to use after the 30-day free trial. PyCharm, on the other hand, offers both free and paid versions. The free version, PyCharm Community Edition, provides essential Python development tools, while the paid version, PyCharm Professional Edition, offers advanced features and support for additional languages and frameworks.
In summary, DataGrip focuses on database management with robust SQL editing capabilities, while PyCharm caters specifically to Python development, providing a comprehensive set of tools for Python programmers. DataGrip offers extensive support for databases, while PyCharm excels in Python-specific features and plugin ecosystem.
UPDATE: Thanks for the great response. I am going to start with VSCode based on the open source and free version that will allow me to grow into other languages, but not cost me a license ..yet.
I have been working with software development for 12 years, but I am just beginning my journey to learn to code. I am starting with Python following the suggestion of some of my coworkers. They are split between Eclipse and IntelliJ IDEA for IDEs that they use and PyCharm is new to me. Which IDE would you suggest for a beginner that will allow expansion to Java, JavaScript, and eventually AngularJS and possibly mobile applications?
Pycharm is great for python development, but can feel sometimes slow and community version has Somme very annoying restrictions (like they disabled jupyter notebooks plugin and made it premium feature). I personally started looking into VS Code as an alternative, and it has some very good potential. I suggest you take it into account.
The Community version of PyCharm is free and should give you what you need to get started with Python. Both PyCharm and IntelliJ are made by JetBrains. IntelliJ is initially focused on Java but you can get plugins for lots of other things. I subscribe to JetBrains' Toolbox: https://www.jetbrains.com/toolbox-app/ and have access to all of their great tools.
Hi, I will give my opinion based on my experience. I have used PyCharm, both community and Professional version. The community has limited functions, like you can't use a Jupyter notebook whereas it's available in the Professional version. PyCharm is slower compared to Visual Studio Code. Also Visual Studio Code is an editor which supports various languages. I myself have used both Visual Studio Code and PyCharm. I feel Visual Studio Code would be better choice. You may as well decide based upon your requirements.
I couldn't imagine using a development tool other than the IntelliJ IDEA Ultimate All Products Pack. A single license allows me to work directly on my server running Ubuntu and/or my workstation running Windows 10 Pro simultaneously. My current project uses HTML, W3CSS, JavaScript, Java, Groovy, Grails, C, GO, Python, Flask, and Rust. For me it's worth every penny of the $150 license fee. And you can try it for free.
Visual Studio code is easy to use, has a good UI, and a large community. Python works great with it, but unlike some other editors, it works with most languages either by default or by downloading a plugin. VS Code has built in linting, syntax coloring, autocompletes (IntelliSense), and an api for plugins to do there own tooling.
I'd personally recommend Visual Studio Code as it gives you the flexibility of working in any language, so long as there are extensions to support it. It gives you the flexibility to learn Python, venture into Java, Javascript, and eventually AngularJS, and potentially mobile applications. It's also free and you can install it on your personal computer. I think Visual Studio Code would serve your intended use case best.
IntelliJ really is the best for Java, I switched from eclipse years ago and never looked back. As for javascript, python and angular either using the standalone products from jetbrains (pycharm for python, webstorm for js) or installing the relevant plugins for InteliJ will be your best bet. Pycharm etc. are really just InteliJ with some additional plugins installed.
If you starting with Python then PyCharm is better. For Java I would suggest to go with IntelliJ IDEA but people also prefer eclipse so I would say try both and then decide. For JS/Angular/React I would suggest go with VSCode. I personally use it and prefer as its light weight and have good integration with chrome for frontend development.
PyCharm, IntelliJ IDEA are both products of JetBrains. They have a free (limited feature) and paid edition. Eclipse is free. VSCode is also free.
Easy to learn and everything you need
This is a very easy to use tool and gives you the opportunity to start coding right after the installation with almost everything setup automatically by the tool.
All three are great, however, I believe that IntelliJ IDEA's multiple IDE's are slightly more straight-forward and more up-to date than Eclipse. If I had to choose one specifically for Python projects I would go with PyCharm.
Pycharm is all you need to get start coding in python or any of its framework. Its an awesome tool you should give it a try :)
Pros of DataGrip
- Works on Linux, Windows and MacOS4
- Code analysis3
- Diff viewer2
- Wide range of DBMS support2
- Generate ERD1
- Quick-fixes using keyboard shortcuts1
- Database introspection on 21 different dbms1
- Export data using a variety of formats using open api1
- Import data1
- Code completion1
Pros of PyCharm
- Smart auto-completion112
- Intelligent code analysis93
- Powerful refactoring77
- Virtualenv integration60
- Git integration54
- Support for Django22
- Multi-database integration11
- VIM integration7
- Vagrant integration4
- In-tool Bash and Python shell3
- Plugin architecture2
- Docker2
- Django Implemented1
- Debug mode support docker1
- Emacs keybinds1
- Perforce integration1
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Cons of DataGrip
Cons of PyCharm
- Slow startup10
- Not very flexible7
- Resource hog6
- Periodic slow menu response3
- Pricey for full features1