Beekeeper Studio vs DataGrip: What are the differences?

1. User Interface: Beekeeper Studio offers a simple and user-friendly interface with a focus on ease of use and navigation. In contrast, DataGrip provides a more comprehensive and feature-rich interface designed for advanced users with complex database management needs.

2. Cross-platform Support: Beekeeper Studio is built using Electron, making it compatible with various operating systems such as Windows, macOS, and Linux. On the other hand, DataGrip is primarily designed for JetBrains IDE platform, offering robust support for Windows, macOS, and Linux through the JetBrains Toolbox.

3. Cost: Beekeeper Studio is an open-source tool available for free, making it an attractive option for individuals and small businesses with budget constraints. Conversely, DataGrip is a commercial product with licensing fees based on subscription models, which may not be feasible for some users.

4. Extensions and Plugins: While Beekeeper Studio focuses on providing essential database management features out of the box, DataGrip offers a wide range of extensions and plugins to customize and enhance the user experience with additional functionalities and integrations.

5. Database Support: Beekeeper Studio supports popular databases like MySQL, PostgreSQL, SQLite, and Microsoft SQL Server, catering to a broad user base with common database management needs. DataGrip, on the other hand, offers extensive support for a wide range of databases, including niche and enterprise-level systems, making it preferable for users working with diverse database environments.

6. Community and Support: Beekeeper Studio has an active community of users and contributors who provide support, share knowledge, and contribute to the continuous improvement of the tool. DataGrip, as a commercial product, offers dedicated technical support from JetBrains, ensuring timely assistance and troubleshooting for paid license holders.

In Summary, Beekeeper Studio and DataGrip differ in user interface simplicity, cross-platform compatibility, cost, extensibility, database support, and community support.