DataGrip vs. Python IDLE

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataGrip
Score 8.5 out of 10
N/A
DataGrip, from JetBrains, is a database IDE that is tailored to suit the specific needs of professional SQL developers.
$99
per year per user
Python IDLE
Score 8.9 out of 10
N/A
Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.N/A
Pricing
DataGripPython IDLE
Editions & Modules
For Individuals
$99
per year per user
For Organizations
$229
per year per user
All Products Pack for Individuals
$289
per year per user
All Products Pack for Organizations
$779
per year per user
No answers on this topic
Offerings
Pricing Offerings
DataGripPython IDLE
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataGripPython IDLE
Best Alternatives
DataGripPython IDLE
Small Businesses
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Enterprises
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataGripPython IDLE
Likelihood to Recommend
8.4
(0 ratings)
3.2
(0 ratings)
Usability
8.5
(0 ratings)
8.2
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
DataGripPython IDLE
Likelihood to Recommend
It is undoubtedly one of the best database management programs. It dramatically simplifies database management and administration. Its extensive support for various database engines is a point to highlight when we talk about DataGrip; you will like having such a powerful resource much as we do.
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IDLE is a good option to run small scripts directly on the console, and that's it. It is a good exit when you don't want or need to open a proper IDE like Pycharm.
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Pros
  • Connects to most of the db engines known
  • auto complete is powerful and db objects introspection is complete
  • one place for all your db connections
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  • The best thing is the debug that incorporates.
  • Friendly graphic environment.
  • Provide keyword auto-fill.
  • Color the command syntax automatically.
  • Very configurable.
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Cons
  • Can be a memory hog
  • No free community version with limited functionality
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  • Too simplistic
  • Could not find source revision management integration support
  • Only basic debugging is available
  • Does not have data-science-specific notebooks (but can be installed separately)
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Usability
Perfect other than a way to handle saving and re-using queries. A simple/better way of creating a pool of queries for each project or database connection would be very helpful. It is not bad now, just could be a better. I have used Navicat for MySQL in the past it had that feature. It could save all your queries to the cloud and you could use them on any device.
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1-Ease of use: python IDLE is relatively ease to use,especially for developers familiar with python. Its simple and intuitive interface makes it easy to navigate and find basic features 2- learnability:python IDLE is relatively easy to learn especially for developers with prior experience with python or other programming Languages 3- efficiency: Python IDLE efficiency is limited by its basic feature set and lack of advanced tools.while it’s great for rapid prototyping and small scale developers
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Support Rating
No answers on this topic
Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
As this IDE is made in Python, the support is the same group of Python developers.
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Alternatives Considered
DataGrip is the most widely used software for simplified data management; we can know what is missing and what is leftover. The interface is straightforward and with a lot of security in its use of the system. All this has been its plus point.
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I chose python IDLE for its simplicity and ease of use, which made it ideal for rapid prototyping and small scale development future sets: while python IDLE offers a basic set of features, including syntax highlighting, auto completion and basic debugging tools Performance :python IDLE is relatively lightweight and doesn’t require significant system resources, making it an excellent choice for older machines or resources constrained environment
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Return on Investment
  • Less time to develop database structures
  • Easy to filter and find data
  • Export data for reporting purposes
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  • In a short time, we were able to develop several ML models for various teams to make accurate decisions.
  • Beginners can easily understand and adapt to GUI.
  • We could automate several manual validation tasks and so could reduce human intervention.
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ScreenShots