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  5. DBeaver vs PostgreSQL for Visual Studio Code

DBeaver vs PostgreSQL for Visual Studio Code

OverviewDecisionsComparisonAlternatives

Overview

DBeaver
DBeaver
Stacks555
Followers731
Votes67
GitHub Stars46.0K
Forks3.9K
PostgreSQL for Visual Studio Code
PostgreSQL for Visual Studio Code
Stacks12
Followers72
Votes0
GitHub Stars452
Forks61

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

Databases play a crucial role in managing and organizing large sets of data. Two popular tools used for this purpose are DBeaver and PostgreSQL for Visual Studio Code. While both offer database management capabilities, here are the key differences between them.

  1. User Interface: DBeaver provides a dedicated user interface that is specifically designed for database management. It offers a comprehensive set of tools and features, including database schema visualization, SQL editor, query builder, and data transfer capabilities. On the other hand, PostgreSQL for Visual Studio Code integrates seamlessly within the Visual Studio Code editor, allowing users to access database functionality without switching between different tools.

  2. Supported Databases: DBeaver supports a wide range of databases, including popular ones like Oracle, MySQL, SQL Server, and PostgreSQL, among others. It provides native connectivity and supports various database drivers. In contrast, PostgreSQL for Visual Studio Code is specifically built for PostgreSQL databases and focuses on providing specialized functionality and optimizations for this particular database system.

  3. Code Development: DBeaver offers a powerful SQL editor with syntax highlighting, code completion, and debugging capabilities. It allows users to write and execute SQL queries directly within the tool, making it convenient for developers and database administrators. PostgreSQL for Visual Studio Code, on the other hand, integrates SQL language services within the Visual Studio Code editor, enabling code editing and execution without leaving the development environment.

  4. Extensions and Plugins: DBeaver provides a rich ecosystem of extensions and plugins, allowing users to enhance its functionality and customize their database management experience. These extensions range from additional database driver support to visual query builders and data export/import tools. On the contrary, PostgreSQL for Visual Studio Code offers a more streamlined experience, focusing on providing essential features for PostgreSQL databases without overwhelming users with excessive extensions and plugins.

  5. Community and Support: DBeaver benefits from a large and active user community, which translates into a vibrant ecosystem of support forums, documentation, and community-driven extensions. Users can find answers to their queries, share their experiences, and collaborate with others using this tool. PostgreSQL for Visual Studio Code also has a supportive community, but it might be relatively smaller since it caters to a specific database system.

In summary, DBeaver offers a comprehensive and versatile database management tool with support for various databases and a rich set of features. On the other hand, PostgreSQL for Visual Studio Code focuses specifically on PostgreSQL databases, integrating seamlessly within the Visual Studio Code editor and providing a more streamlined experience.

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Advice on DBeaver, PostgreSQL for Visual Studio Code

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments

Detailed Comparison

DBeaver
DBeaver
PostgreSQL for Visual Studio Code
PostgreSQL for Visual Studio Code

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

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
46.0K
GitHub Stars
452
GitHub Forks
3.9K
GitHub Forks
61
Stacks
555
Stacks
12
Followers
731
Followers
72
Votes
67
Votes
0
Pros & Cons
Pros
  • 22
    Free
  • 13
    Platform independent
  • 9
    Automatic driver download
  • 7
    Import-Export Data
  • 6
    Simple to use
No community feedback yet
Integrations
Oracle
Oracle
PostgreSQL
PostgreSQL
Linux
Linux
MySQL
MySQL
Presto
Presto
MariaDB
MariaDB
Java
Java
Apache Hive
Apache Hive
Microsoft SQL Server
Microsoft SQL Server
macOS
macOS
PostgreSQL
PostgreSQL
Visual Studio Code
Visual Studio Code

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

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

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

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

PostGIS

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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