Skip to content
cask.news
← Browse all apps

sqlcl vs DBeaver Community Edition

Side-by-side comparison for macOS

sqlcl

6.5
Developer Tools

Oracle SQLcl is the modern command-line interface for the Oracle Database

DBeaver Community Edition

7.5
Developer Tools

Universal database tool and SQL client

Metric sqlcl DBeaver Community Edition
Category Developer Tools Developer Tools
AI Score 6.5 7.5
30-day Installs 619 11.3K
90-day Installs 1.5K 33.2K
365-day Installs 4.0K 137.2K
Version 26.1.0.086.1709 26.0.4
Auto-updates No Yes
Deprecated No No
GitHub Stars 44
GitHub Forks 4
Open Issues -
License MIT
Language JavaScript
Last GitHub Commit 3y ago
First Seen Aug 9, 2023 Aug 9, 2023

Reviews

sqlcl

sqlcl is a modern command-line interface for Oracle Database, offering developers and database administrators a powerful tool for interacting with their databases. It provides features like script execution, data manipulation, and integration with Oracle tools, making it a valuable asset for those working with Oracle environments.

sqlcl is a command-line tool for interacting with Oracle Database, enabling tasks such as querying, scripting, and database management.

Pros

  • + Modern and feature-rich command-line interface for Oracle Database
  • + Integration with existing Oracle tools and ecosystems
  • + Availability of useful scripts and resources

Cons

  • - Lack of automatic updates
  • - Limited recent community activity and contributions

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