PostgreSQL Modeler vs PostgreSQL for Visual Studio Code

Overview

PostgreSQL Modeler

Stacks13

Followers32

Votes0

GitHub Stars3.4K

Forks404

PostgreSQL for Visual Studio Code

Stacks12

Followers72

Votes0

GitHub Stars452

Forks61

PostgreSQL Modeler vs PostgreSQL for Visual Studio Code: What are the differences?

Introduction: In this markdown code, we will discuss the key differences between PostgreSQL Modeler and PostgreSQL for Visual Studio Code.

Purpose and Scope: PostgreSQL Modeler is a standalone DDL (Data Definition Language) tool for designing and maintaining database schemas, while PostgreSQL for Visual Studio Code is an extension specifically built for Visual Studio Code that provides various features for working with PostgreSQL databases directly within the IDE.
User Interface: PostgreSQL Modeler offers a graphical user interface (GUI) for visually designing database structures, relationships, and constraints, making it easier for users without SQL knowledge to create and manage their databases. On the other hand, PostgreSQL for Visual Studio Code mainly relies on text-based commands and queries within the code editor, catering to users comfortable with writing SQL scripts.
Platform Compatibility: PostgreSQL Modeler is a desktop application available for Windows, macOS, and Linux operating systems, providing a consistent experience across various platforms. In contrast, PostgreSQL for Visual Studio Code is an extension that specifically integrates with Visual Studio Code, meaning it is limited to users who prefer working within the Visual Studio Code environment.
Feature Set: PostgreSQL Modeler includes features like reverse engineering of existing databases, synchronization of model changes with the actual database, and generation of DDL scripts for deployment. On the other hand, PostgreSQL for Visual Studio Code offers features like syntax highlighting, IntelliSense for SQL queries, database exploration, and SQL code snippets to enhance the development workflow within Visual Studio Code.
Collaboration and Version Control: PostgreSQL Modeler provides collaboration features such as multi-user editing of models and version control integration, allowing teams to work on database designs together and track changes effectively. However, PostgreSQL for Visual Studio Code lacks robust collaboration and version control functionalities, focusing more on individual developers' productivity within the Visual Studio Code environment.
Community Support and Extensibility: PostgreSQL Modeler has a dedicated community for support, documentation, and extensions, expanding the tool's capabilities through plugins and additional features. In contrast, PostgreSQL for Visual Studio Code leverages the Visual Studio Code marketplace for extensions and relies on the broader Visual Studio Code community for support and resources.

Summary: In summary, PostgreSQL Modeler is a standalone DDL tool with a graphical interface for designing and maintaining database schemas, while PostgreSQL for Visual Studio Code is an extension that integrates SQL functionalities directly into the Visual Studio Code IDE, catering to developers who prefer coding in their preferred environment.

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Detailed Comparison

PostgreSQL Modeler	PostgreSQL for Visual Studio Code
Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand.	An extension for developing PostgreSQL with functionalities including connect to PostgreSQL instances, manage connection profiles, and more.
-	Connect to PostgreSQL instances; Manage connection profiles; Connect to a different; Postgres instance or database in each tab; View object DDL with 'Go to Definition' and 'Peek Definition'; Write queries with IntelliSense; Run queries and save results as JSON, csv, or Excel
Statistics
GitHub Stars 3.4K	GitHub Stars 452
GitHub Forks 404	GitHub Forks 61
Stacks 13	Stacks 12
Followers 32	Followers 72
Votes 0	Votes 0
Integrations
No integrations available	PostgreSQL Visual Studio Code

What are some alternatives to PostgreSQL Modeler, PostgreSQL for Visual Studio Code?

dbForge Studio for MySQL

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dbForge Studio for Oracle

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dbForge Studio for PostgreSQL

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dbForge Studio for SQL Server

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Liquibase

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Sequel Pro

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DBeaver

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dbForge SQL Complete

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Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

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Related Comparisons

PostgreSQL Modeler vs PostgreSQL for Visual Studio Code: What are the differences?

Introduction: In this markdown code, we will discuss the key differences between PostgreSQL Modeler and PostgreSQL for Visual Studio Code.

Purpose and Scope: PostgreSQL Modeler is a standalone DDL (Data Definition Language) tool for designing and maintaining database schemas, while PostgreSQL for Visual Studio Code is an extension specifically built for Visual Studio Code that provides various features for working with PostgreSQL databases directly within the IDE.
User Interface: PostgreSQL Modeler offers a graphical user interface (GUI) for visually designing database structures, relationships, and constraints, making it easier for users without SQL knowledge to create and manage their databases. On the other hand, PostgreSQL for Visual Studio Code mainly relies on text-based commands and queries within the code editor, catering to users comfortable with writing SQL scripts.
Platform Compatibility: PostgreSQL Modeler is a desktop application available for Windows, macOS, and Linux operating systems, providing a consistent experience across various platforms. In contrast, PostgreSQL for Visual Studio Code is an extension that specifically integrates with Visual Studio Code, meaning it is limited to users who prefer working within the Visual Studio Code environment.
Feature Set: PostgreSQL Modeler includes features like reverse engineering of existing databases, synchronization of model changes with the actual database, and generation of DDL scripts for deployment. On the other hand, PostgreSQL for Visual Studio Code offers features like syntax highlighting, IntelliSense for SQL queries, database exploration, and SQL code snippets to enhance the development workflow within Visual Studio Code.
Collaboration and Version Control: PostgreSQL Modeler provides collaboration features such as multi-user editing of models and version control integration, allowing teams to work on database designs together and track changes effectively. However, PostgreSQL for Visual Studio Code lacks robust collaboration and version control functionalities, focusing more on individual developers' productivity within the Visual Studio Code environment.
Community Support and Extensibility: PostgreSQL Modeler has a dedicated community for support, documentation, and extensions, expanding the tool's capabilities through plugins and additional features. In contrast, PostgreSQL for Visual Studio Code leverages the Visual Studio Code marketplace for extensions and relies on the broader Visual Studio Code community for support and resources.

PostgreSQL Modeler vs PostgreSQL for Visual Studio Code

Overview