What is difference between PostgreSQL and MSSQL?

What is difference between PostgreSQL and MSSQL?

PostgreSQL and SQL Server (or MSSQL) are two widely used relational databases. Among the most significant distinctions is that PostgreSQL is open source, while SQL Server is owned and licensed by Microsoft.

What is data migration in PostgreSQL?

Deployment & Scaling Upgrades & Patches Database – General PostgreSQL. Database migration is the process of migrating data from one or more source databases to one or more target databases by using a service or tool. There are different types of migrations.

Which is better Postgres or SQL Server?

Concurrency: PostgreSQL has a better concurrency management system. MS SQL Server has underdeveloped concurrency and you can easily get various locked, blocked, and deadlocked reports in the log. Thus the performance of the database, as well as the application, will be slower.

How to backup and restore a PostgreSQL database?

Install PostgreSQL image. Run docker-compose up -d in the same directory as docker-compose.yml to download and run PostgreSQL and Adminer in the backend.

  • Create a demo database.
  • Create a simple table and insert a record into it.
  • Backup a database.
  • Make a simple change to the demo database.
  • Restore a database.
  • Verify the restored database
  • Conclusion.
  • How to import PostgreSQL script files to server?

    Select the database.

  • Navigate to the “SQL” button.
  • Click the “Choose File” (or “Browse”) button and select the SQL file from your computer.
  • How to import PostgreSQL script files to server
  • How to import a PostgreSQL database with pgadmin?

    Open PgAdmin.

  • Click on Servers >> your PostgreSQL server name.
  • select the file that has the data to be imported
  • How to select database in PostgreSQL?

    PostgreSQL allows selecting database in different ways. If we are using pgAdmin, we can just double click on the database and it will automatically select the database and will prompt for a password. If we are using psql command-line client we can use the following command.