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DBeaver Lite Edition vs DBeaver Community Edition

Side-by-side comparison for macOS

DBeaver Lite Edition

8.0
Developer Tools

Universal database tool and SQL client

DBeaver Community Edition

7.5
Developer Tools

Universal database tool and SQL client

Metric DBeaver Lite Edition DBeaver Community Edition
Category Developer Tools Developer Tools
AI Score 8.0 7.5
30-day Installs 27 11.3K
90-day Installs 121 33.2K
365-day Installs 637 137.2K
Version 26.0.0 26.0.4
Auto-updates No Yes
Deprecated No No
GitHub Stars
GitHub Forks
Open Issues
License
Language
Last GitHub Commit
First Seen Aug 9, 2023 Aug 9, 2023

Reviews

DBeaver Lite Edition

DBeaver Lite Edition is a versatile database tool and SQL client supporting multiple databases. It offers a user-friendly interface for database management, SQL editing, and data manipulation, making it ideal for developers and data professionals.

DBeaver allows users to connect to various databases, execute SQL queries, manage data, and perform database administration tasks.

Pros

  • + Supports multiple database types, making it versatile for different environments.
  • + User-friendly interface that simplifies complex database operations.
  • + Free and open-source, accessible to a wide range of users.

Cons

  • - Lacks some advanced features compared to the full version.
  • - Manual updates required as there's no auto-update functionality.

DBeaver Community Edition

DBeaver Community Edition is a versatile database tool supporting multiple database types, offering a user-friendly interface for SQL development and data management. It's ideal for developers, data analysts, and IT professionals who need a comprehensive database management solution.

Connects to various databases and provides tools for SQL development, data management, and database administration.

Pros

  • + Supports a wide range of databases
  • + User-friendly interface for SQL development
  • + Comprehensive set of tools for database management

Cons

  • - Lack of community discussion may indicate limited user engagement
  • - Potential performance issues with very large datasets