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Core Data Editor vs DBeaver Community Edition

Side-by-side comparison for macOS

Core Data Editor

7.0
Developer Tools

DBeaver Community Edition

7.5
Developer Tools

Universal database tool and SQL client

Metric Core Data Editor DBeaver Community Edition
Category Developer Tools Developer Tools
AI Score 7.0 7.5
30-day Installs - 11.2K
90-day Installs 3 33.2K
365-day Installs 12 137.1K
Version 5.2 26.0.4
Auto-updates No Yes
Deprecated Yes No
GitHub Stars 2.1K
GitHub Forks 181
Open Issues 9
License BSD-3-Clause
Language Objective-C
Last GitHub Commit 4y ago
First Seen Aug 9, 2023 Aug 9, 2023

Reviews

Core Data Editor

Core Data Editor is a powerful tool for developers to inspect, edit, and analyze Core Data stores used by macOS and iOS applications. It supports multiple data formats, visualizes relationships, and generates Objective-C code, making it indispensable for app development and debugging.

Core Data Editor allows users to view, edit, and analyze Core Data stores used by macOS and iOS applications.

Pros

  • + Supports multiple data formats including XML, SQLite, and binary stores
  • + Visualizes relationships and data structures, aiding in debugging
  • + Generates Objective-C code for data models, streamlining development

Cons

  • - No updates since 2021, potentially lacking compatibility with newer systems
  • - An open issue regarding inability to edit databases remains unresolved

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