PostgreSQL for Visual Studio Code vs TablePlus

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PostgreSQL for Visual Studio Code

12
68
+ 1
0
TablePlus

151
255
+ 1
11
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PostgreSQL for Visual Studio Code vs TablePlus: What are the differences?

PostgreSQL for Visual Studio Code: PostgreSQL extension for VSCODE. An extension for developing PostgreSQL with functionalities including connect to PostgreSQL instances, manage connection profiles, and more; TablePlus: Easily edit database data and structure. TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.

PostgreSQL for Visual Studio Code and TablePlus can be categorized as "Database" tools.

Some of the features offered by PostgreSQL for Visual Studio Code are:

  • Connect to PostgreSQL instances
  • Manage connection profiles
  • Connect to a different

On the other hand, TablePlus provides the following key features:

  • Native, Fast & Secured
  • Multi Tabs & Code Review
  • Powerful SQL Editor

PostgreSQL for Visual Studio Code is an open source tool with 183 GitHub stars and 9 GitHub forks. Here's a link to PostgreSQL for Visual Studio Code's open source repository on GitHub.

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Pros of PostgreSQL for Visual Studio Code
Pros of TablePlus
    Be the first to leave a pro
    • 5
      Great tool, sleek UI, run fast and secure connections
    • 3
      Free
    • 2
      Perfect for develop use
    • 1
      Security

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    What companies use PostgreSQL for Visual Studio Code?
    What companies use TablePlus?
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      What tools integrate with PostgreSQL for Visual Studio Code?
      What tools integrate with TablePlus?

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      What are some alternatives to PostgreSQL for Visual Studio Code and TablePlus?
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      Slick
      It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
      Spring Data
      It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
      DataGrip
      A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
      Dataform
      Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
      See all alternatives