School of Information Systems

PostgreSQL vs SQL Server

We know that both PostgreSQL and SQL Server are database server applications. The application can be connected to cloud computing so that it can provide convenience to an organization or company in storing, updating, and deleting data. In addition, the security of the data stored is guaranteed. In PostgreSQL and SQL Server, of course, there are some differences that are characteristic. 

PostgreSQL is one of several database servers that offer high productivity. PostgreSQL can be implemented on various platforms. Examples of using PostgreSQL in Indonesia are on the web, billing systems and other information systems. Besides that, PostgreSQL is also supported by many programming languages, such as PHP, Python, Javascript, C++, Ruby, Delphi, .NET, Perl, and many more. 

Specifically, PostgreSQL is an Object Relational Database Management System (ORDBMS) developed by Berkeley Computer Science Development. PostgreSQL is open source or allows management users to access and make changes to the database. The features possessed by PostgreSQL are quite complete and can support database applications from medium to large scale. PostgreSQL also has features for database replication, such as DB Mirror, PGPool, Slony, and PGCluster. 

In terms of programming languages, PostgreSQL does not only provide standard SQL, but also provides PL or pgSQL procedures programming. When users want to increase their understanding of how the system caches and processes requests, PostgreSQL isolates the existing processes into separate OS processes. This resulted in each database having its own memory and process. However, discrete processes not only provide ease of monitoring and management, but also complicate database scaling. In terms of scalability, PostgreSQL has a lot of features and unlimited use of CPU cores. The use of unlimited CPU cores certainly has a positive impact when you want to implement queries in parallel quickly. 

SQL server is a database management system primarily used for e-commerce and provides a distinct data warehousing solution. When compared to PostgreSQL, SQL Server is only supported by a few programming languages, for example .NET, PHP, Python, JavaScript, and C++. This of course will make it difficult for the user when they want to synchronize with an unsupported programming language. 

SQL Server is a Relational Database Management System (RDBMS) developed by the Microsoft company. SQL Server can be used to manage databases on a large scale. Unlike PostgreSQL, SQL Server is equipped with several features that can assist users in making decisions such as Business Intelligence and Data Analysis. 

In terms of programming language, SQL Server uses transaction SQL which is like standard SQL. Transaction SQL also includes data processing and procedures programming. In SQL Server, all processes are carried out in one batch without many pages which will give users difficulties when monitoring and managing data. In terms of scalability, SQL Server also implements the use of CPU cores but has a limit of around twenty four CPU cores. In SQL Server there is also a scale feature that allows users to set limits according to their needs. 

Thus, it can be concluded that PostgreSQL and SQL Server have their own advantages and disadvantages. In terms of programming languages, SQL Server has a limited number. However, SQL Server also has features that PostgreSQL does not have, namely Business Intelligence and Data Analysis features that can assist users in making decisions. The choice of using the two applications depends on the type of needs or desires of each user 

 

References

  • Lembaga Penerbangan dan Antariksa Nasional. (2019). Comparation of PostgreSQL, MariaDB and MongoDB Capabilities in Processing LAPAN Satellite AIS Data. 
  • Praba, A. D. (2018). Aplikasi Rekap Mengajar Berbasis Website Dengan Database PostgreSQL. Indonesian Journal on Networking and Security, 8(1), 27-31. 
  • Ramadhan, A. W. (2018). Implementation of Master to Slave Database Replication using PostgreSQL. 
  • Sugiana, O. (2001). SQL dengan PostgreSQL, 1-2. 
  • University International Batam. (2020). Study of Resource Efficiency on Effectiveness Database Use: SQL SERVER Case Study and MySQL 
Adri Ramadhan