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  5. PostgreSQL vs PostgreSQL for Visual Studio Code

PostgreSQL vs PostgreSQL for Visual Studio Code

OverviewDecisionsComparisonAlternatives

Overview

PostgreSQL
PostgreSQL
Stacks103.0K
Followers83.9K
Votes3.6K
GitHub Stars19.0K
Forks5.2K
PostgreSQL for Visual Studio Code
PostgreSQL for Visual Studio Code
Stacks12
Followers72
Votes0
GitHub Stars452
Forks61

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

Introduction In this comparison, we will explore the key differences between PostgreSQL and PostgreSQL for Visual Studio Code.

  1. Installation Process: PostgreSQL requires a separate installation process where you need to download and set up the database server standalone, while PostgreSQL for Visual Studio Code can be easily integrated as an extension within the Visual Studio Code interface.

  2. User Interface: PostgreSQL for Visual Studio Code provides a user-friendly graphical interface within the code editor, allowing for visual management of databases, tables, queries, and extensions. On the other hand, PostgreSQL primarily relies on command-line interfaces for database management.

  3. Extension Support: PostgreSQL for Visual Studio Code offers a variety of extensions specifically designed for PostgreSQL development, enabling features such as syntax highlighting, code snippets, and query execution within the editor itself. PostgreSQL, as a standalone database server, may require manual installation and configuration of additional extensions for similar functionalities.

  4. Integration with IDE Features: PostgreSQL for Visual Studio Code seamlessly integrates with the rich set of features provided by Visual Studio Code, such as debugging tools, version control systems, and various extensions for enhanced development workflows. This integration may streamline development processes compared to using PostgreSQL in isolation.

  5. Real-time Collaboration: PostgreSQL for Visual Studio Code offers real-time collaboration features through Live Share, allowing multiple developers to work on the same database simultaneously, view changes in real-time, and communicate through chat. This collaborative functionality is not inherently present in standalone PostgreSQL installations.

  6. Debugging Capabilities: PostgreSQL for Visual Studio Code provides built-in debugging capabilities for stored procedures, triggers, and functions, allowing developers to efficiently debug database-related code directly within the editor. This feature enhances the debugging experience compared to traditional PostgreSQL setups.

In Summary, PostgreSQL for Visual Studio Code offers a more integrated and user-friendly experience for PostgreSQL development within the Visual Studio Code environment, with enhanced features for collaboration, debugging, and extension support, compared to standalone PostgreSQL installations.

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Advice on PostgreSQL, PostgreSQL for Visual Studio Code

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
George
George

Student

Mar 18, 2020

Needs adviceonPostgreSQLPostgreSQLPythonPythonDjangoDjango

Hello everyone,

Well, I want to build a large-scale project, but I do not know which ORDBMS to choose. The app should handle real-time operations, not chatting, but things like future scheduling or reminders. It should be also really secure, fast and easy to use. And last but not least, should I use them both. I mean PostgreSQL with Python / Django and MongoDB with Node.js? Or would it be better to use PostgreSQL with Node.js?

*The project is going to use React for the front-end and GraphQL is going to be used for the API.

Thank you all. Any answer or advice would be really helpful!

620k views620k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

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

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.

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
19.0K
GitHub Stars
452
GitHub Forks
5.2K
GitHub Forks
61
Stacks
103.0K
Stacks
12
Followers
83.9K
Followers
72
Votes
3.6K
Votes
0
Pros & Cons
Pros
  • 765
    Relational database
  • 511
    High availability
  • 439
    Enterprise class database
  • 383
    Sql
  • 304
    Sql + nosql
Cons
  • 10
    Table/index bloatings
No community feedback yet
Integrations
No integrations available
Visual Studio Code
Visual Studio Code

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

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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.

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