5 Key Differences Between Mysql And Postgresql

Jul 16, 2019 by

For many years now, Relational Database Management Systems (RDBMS) is considered as an excellent option for the convenient storage of information in databases including financial, personal or any other kind of data. A relational database can be defined as a set of tables (datasets with rows and columns) containing information relating to other tables in the database. The rapid rise in the critical applications requiring a robust management system can be attributed to this huge popularity of RDBMS.

What makes RDBMS unique as compared to the regular data management model is the use of table format for storing data.

One of the commonalities among all major relational databases is the fact that they use SQL as their query language. SQL, or Structured Query Language, is the standard language used for interacting with relational databases. SQL allows you to query or ask questions in a relational database. Working with SQL and relational databases is one of the essential skill set for data scientists, analyst and engineers. 

PostgreSQL

PostgreSQL

Postgresql is an open-source, advanced and powerful SQL RDBMS. It was basically framed with the objective of being standards-compliant, extensible, and highly programmable. It uses constraints, tables, roles, triggers, stored procedures and views as the core components.

PostgreSQL is trusted and adopted by leading business houses due to its capability of handling multiple tasks simultaneously. Among other noteworthy features include ACID compliance (Atomicity, Consistency, Isolation, Durability), object-relations, and high concurrency.

MySQL

MYSQL

MySQL is yet another feature-rich system and supports most of the SQL functionality. One of the prominent features of MySQL is its high flexibility which makes it a popular choice for web applications. Among other noteworthy features include ACID compliance, availability of specific security features, and ease of access to support.

5 Key Differences Between MYSQL PostgreSQL

While PostgreSQL and MySQL are undoubtedly two of the most commonly used RDBMS with many features in common, it largely depends on the requirements and how one wishes to approach them for a specific problem.

Here are some of the key differences between the two-

1. Supporting OS

Both PostgreSQL and MySQL systems are capable of running on the Windows Operating Systems, Solaris, Linux and OS X.

While the MYSQL additionally supports FreeBSD; PostgreSQL supports FreeBSD, HP-UX, NetBSD, OpenBSD, and Unix.

2. Replication

Database replication is a process of electronic copying of data from one server to another. It allows users to have access to the same information easily.

While a database may utilize various techniques to store surplus data, there is a difference between MySQL and PostgreSQL databases with respect to replication.

MySQL uses both master-master replications (in which each node is a master with access to update the data) and master-slave replication (in which one node is the master and controls data storage by the other nodes) PostgreSQL, on the other hand, can perform only master-slave replication. 

3. Supported Languages for Programming

A Programming language is a structured language comprising of various instructions for producing different kinds of outputs. There is a huge variation in MySQL and PostgreSQL when it comes to the programming language.

While MySQL supports Ada, Java, C, C#, C++, Python Haskell, D, Delphi, Eiffel, Erlang, JavaScript, Objective-C, OCaml, Perl, PHP, Ruby, Scheme, and Tcl; PostgreSQL, on the other hand, supports Net, C, C++, Delphi, Java, JavaScript, Perl, PHP, Python, and Tcl.

4. Performance

MySQL is mostly preferred for web-based projects which require a database only for data transactions. It works well in Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) systems where the key requirement is high read speeds.

Whereas PostgreSQL is suitable for large systems that require big query execution and where data needs to be authenticated and read/write speeds are crucial for success. Additionally, PostgreSQL also supports various performance enhancers which are only available in proprietary solutions.

5. Governance

There is a significant difference between MySQL and PostgreSQL with respect to the governance model of technology. While PostgreSQL is available under an open-source license, developed by the PostgreSQL Global development group, MySQL project is available under the GNU license and has its source code open-sourced to the public. 

Where Does Power BI Fit in This?

Power BI supports connectivity to various databases such as SQL Server, MySQL, PostgreSQL, and many more. By providing all the necessary details such as the name of the database, server name, username & password, one can easily connect to the required database and explore data using different visualizations in the form of reports/dashboards.

The Way Ahead

Both MySQL and PostgreSQL databases offer unique features and have great usability for a different audience. Enrolling for a Microsoft Power BI training from a reputed institute can open incredible opportunities for you to make optimal use of both these databases. 

A comprehensive Postgresql course can help you hone your skills, theoretical and practical, through exposure to comprehensive tutorials and interactive workshops. Apart from learning features, you would learn ways to develop applications with this open-source database at back-end.

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