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DbGate vs DBeaver Community Edition

Side-by-side comparison for macOS

DbGate

8.0
Developer Tools

Database manager for MySQL, PostgreSQL, SQL Server, MongoDB, SQLite and others

DBeaver Community Edition

7.5
Developer Tools

Universal database tool and SQL client

Metric DbGate DBeaver Community Edition
Category Developer Tools Developer Tools
AI Score 8.0 7.5
30-day Installs 160 11.3K
90-day Installs 453 33.2K
365-day Installs 1.3K 137.2K
Version 7.1.10 26.0.4
Auto-updates No Yes
Deprecated No No
GitHub Stars 6.8K
GitHub Forks 409
Open Issues 442
License GPL-3.0
Language Svelte
Last GitHub Commit 1mo ago
First Seen Jan 6, 2022 Aug 9, 2023

Reviews

DbGate

DbGate is a versatile, open-source database manager supporting MySQL, PostgreSQL, SQL Server, MongoDB, SQLite, and more. It offers a user-friendly interface for developers and database administrators to manage and interact with various databases across platforms.

DbGate provides a comprehensive toolset for managing and interacting with multiple types of databases, including SQL and NoSQL.

Pros

  • + Cross-platform support for Windows, Linux, macOS, and web
  • + Supports a wide range of databases, including SQL and NoSQL
  • + Active development and responsive community
  • + User-friendly interface with features like query execution and database management

Cons

  • - No auto-update feature for the application
  • - A significant number of open issues on GitHub

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