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DataGrip VS Think Python

Compare DataGrip VS Think Python and see what are their differences

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DataGrip logo DataGrip

Tool for SQL and databases

Think Python logo Think Python

Learning Resources
  • DataGrip Landing page
    Landing page //
    2023-03-16
  • Think Python Landing page
    Landing page //
    2023-09-24

DataGrip features and specs

  • Cross-Platform Support
    DataGrip runs on multiple operating systems including Windows, macOS, and Linux, providing flexibility across various development environments.
  • Intelligent Query Console
    The query console offers code completion, syntax highlighting, and on-the-fly error detection, making SQL coding faster and more accurate.
  • Database Support
    Supports a wide range of databases, including MySQL, PostgreSQL, SQLite, Oracle, and many others, allowing users to manage different database systems within one tool.
  • Data Visualization
    Provides powerful data visualization tools, including table and schema views, which help in understanding and managing the data more effectively.
  • Refactoring Tools
    Includes advanced refactoring capabilities such as renaming, changing column types, and finding usages, which help maintain and update databases with ease.
  • Version Control Systems Integration
    Integrates with popular VCS systems like Git and SVN, allowing for seamless code versioning and collaboration.
  • Customizable Interface
    Highly customizable interface with various themes and layout configurations that adapt to different working styles and preferences.

Possible disadvantages of DataGrip

  • Cost
    DataGrip is a commercial tool and requires a subscription, which may be a significant cost for individual developers or small teams.
  • Resource Intensive
    Tends to consume a considerable amount of system resources, which may affect performance on less powerful machines.
  • Steep Learning Curve
    The tool offers a wide range of features and customizations that can be overwhelming for beginners and may require time to learn and master.
  • Occasional Bugs
    Users have reported occasional bugs and instability issues, which can disrupt workflow and productivity.
  • Limited Non-SQL Database Support
    Primarily designed for SQL databases and has limited support or features for non-SQL databases compared to specialized tools.
  • Complex Configuration
    Initial setup and configuration can be complex, particularly when integrating with various databases and external tools.

Think Python features and specs

  • Accessible for Beginners
    Think Python is written in a clear and approachable style, making it suitable for beginners with no prior programming experience. The author takes care to explain concepts thoroughly, making it easy to follow.
  • Practical Examples
    The book is filled with practical examples that demonstrate how to use Python for various applications. This approach helps readers understand real-world usage of the language.
  • Free Availability
    Think Python is openly accessible in digital format for free, making it easy for anyone to read without financial barriers, supporting open education.
  • Emphasis on Problem Solving
    The book places strong emphasis on teaching readers how to think like programmers, encouraging problem-solving and logical thinking skills.

Possible disadvantages of Think Python

  • Limited Depth
    While suitable for beginners, the book doesnโ€™t delve deeply into advanced features of Python, which might leave learners needing additional resources for more complex topics.
  • Pacing
    Some readers might find the pacing of the book too slow, particularly if they have some prior programming experience, as it aims to accommodate complete beginners.
  • Lack of Exercises
    There are fewer exercises compared to some other programming books, potentially providing less practice for readers to reinforce their learning.
  • Outdated Information
    Depending on the edition, some information may be outdated due to the fast-evolving nature of programming languages. Readers may need to verify with more recent sources.

DataGrip videos

DataGrip Introduction

Think Python videos

Thoughts on Think Python From a Beginner Programmer

More videos:

Category Popularity

0-100% (relative to DataGrip and Think Python)
Database Management
100 100%
0% 0
Online Learning
0 0%
100% 100
Databases
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

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

DataGrip Reviews

Top 10 SQL GUI Tools for Teams in 2026
The best SQL GUI is the one that fits your teamโ€™s work. If you need to work with multiple database platforms, dbForge Edge has one of the most complete feature sets. DBeaver is great for mixed database environments . DataGrip is best for SQL development . Navicat Premium, DbVisualizer, Aqua Data Studio, Toad Data Studio, RazorSQL, TablePlus and Beekeeper Studio all serve...
Best pgAdmin Alternatives in 2026
DataGrip brings the JetBrains development experience to SQL. If you already use IntelliJ IDEA, PyCharm, or Rider, the editor will feel immediately familiar, with intelligent code completion, refactoring, and navigation across PostgreSQL and more than 25 other database engines. Version 2026.2 expands those capabilities with AI agent skills and MCP tools. It offers the...
Best SQL Development Tools for Writing, Testing, and Optimizing Queries (2026)
JetBrains DataGrip provides a dedicated SQL IDE designed for developers who work with multiple database systems. It offers intelligent SQL editing, schema navigation, and query analysis tools that help developers write and troubleshoot SQL more efficiently. Unlike tools focused only on SQL Server, DataGrip supports many database engines from a single interface, making it...
Source: quasa.io
Best SQL Manager Tools for Database Development in 2026
DataGrip is JetBrainsโ€™ database IDE specifically designed for SQL development. The focus is on the query editing experience, with smart code completion, refactoring tools, and live SQL analysis. The tool works with many database platforms and integrates into JetBrainsโ€™ broader developer ecosystem. While DataGrip is a powerful tool for writing and exploring queries, it is...
Top 8 PostgreSQL GUI Tools with AI for 2026
Itโ€™s not PostgreSQL-specific, but thatโ€™s the point. DataGrip fits environments where teams switch between databases and need one consistent interface. AI features come through JetBrains AI, helping generate and explain queries, though theyโ€™re not as deeply integrated into PostgreSQL workflows as dedicated tools.

Think Python Reviews

We have no reviews of Think Python yet.
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Social recommendations and mentions

Based on our record, Think Python should be more popular than DataGrip. It has been mentiond 9 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.

DataGrip mentions (1)

  • Which Is The Best PostgreSQL GUI? 2021 Comparison
    DataGrip is a cross-platform integrated development environment (IDE) that supports multiple database environments. The most important thing to note about DataGrip is that it's developed by JetBrains, one of the leading brands for developing IDEs. If you have ever used PhpStorm, IntelliJ IDEA, PyCharm, WebStorm, you won't need an introduction on how good JetBrains IDEs are. - Source: dev.to / over 5 years ago

Think Python mentions (9)

  • C949 help and Jay Wengrow's Guide to Data Structures
    This course actually starts with an introduction to Python. Since you don't have access yet, you can give Think Python a whirl - https://greenteapress.com/wp/think-python/ and for a more interactive experience, I really enjoyed this one - https://scrimba.com/learn/python. Source: over 3 years ago
  • Best place to learn and practice python?
    Start with Think Python or learn x in y..both are free resources and good for basic understanding and practise. Source: over 3 years ago
  • Good places to start learning python?
    This free book taught me Python many years ago https://greenteapress.com/wp/think-python/. Source: about 4 years ago
  • Which books should I read to learn computer science with python language?
    In terms of learning the basics of Python programming, you can get the first edition of Think Python in PDF form for free. Source: over 4 years ago
  • Observations and thoughts from a long time crypto nerd
    Computer Science โ€” For understanding software development. As for a programming language to learn, I recommend Python or Javascript. Try Crash Course's Computer Science videos, the free Think Python book, and/or Part 1 of The Modern JavaScript Tutorial. Source: over 4 years ago
View more

What are some alternatives?

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

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Google's Python Class - Assorted educational materials provided by Google.

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

The New Boston video series - Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

DbVisualizer - DbVisualizer is the universal database client and SQL tool built for developers, analysts, DBAs, data engineers, and anyone working with data.

A Byte of Python - A Byte of Python is a Python programming tutorial and learning book that teaches you how to program with the Python programming language.