The MySQL Vs PostgreSQL Dilemma

Posted By: editor
Posted On: 19 Feb, 2021
Last Updated On: 03 May, 2021

Are you facing a dilemma over the critical differences between MySQL vs PostgreSQL or which is best suited for your system? Which is better in MySQL vs PostgreSQL? How to choose the most suitable database is a question that can haunt a very seasoned DBA, developer, or technical architect and a beginner in the same field. So let us try to

It takes quite a journey to reach to  following decisions such as:

The database is required to be a relational one.

It has to be Open Source.

The way the database is going to be used, maintained and supported in future.

The general approach that can calm the cold war between various available databases is ensuring the project scope is adhered to, business requirements are understood, feedback and use cases are considered, and when required, a mixed approach is also a lifesaver. Every developer comes with his/her preferences, and like programming languages, the same problem can be solved by opting for the best possible solution that fits the usage and budget requirements.

Under the umbrella of Relational Open Source Databases, MySQL and PostgreSQL, also known as “Postgres” are the two most popular databases.

Statistics have shown that 40% of the developers prefer using MySQL to read operations for BI systems for their day-to-day operations. In contrast, Postgres is looked at as a solution to be used when developers need to run complex queries on OLAP/OLTP systems.

Critical Differences: MySQL vs PostgreSQL

The listing below some common pointers to understand Similarities and Differences between MySQL vs PostgreSQL and empower the developer or DBA to choose:

Sr NoMySQLPostgreSQL
1Origin:1994-1995. Easy to install and use. Was mainly designed for Application Developers. After Oracle took over, two versions were launched.Origin: 1986, Open sources, 1995. Postgres is a bit complex as it supports complex queries for transactions. Powerful tool with in-built functions. Was mainly designed for DB admins.
2Relational Database.Object-based relational database. They are also used as No SQL DB.
3Open Source.Open Source.
4Reliability – ACID is supportedReliability – ACID is supported
5General-purpose – Store data in tables based on Primary Key and Foreign Key relationships. Create DB/Table, Delete DB/Table, Update Table etc.General purpose – Execution of very complex queries, triggers etc. Supports concurrent access to multiple users. Can be integrated with other programming languages such as Java, Python etc.
6Based on C and C++Based on C
7Reliable and popular programme DB and supports standard data typesSupports Complex queries, Advanced data types
8GUI is called MySQL WorkBenchGUI is called PgAdmin
9Most DB driven Web Apps also use MySQLSupport small single machine Apps as well as large warehouses.
10Use Cases: Stored procedures, views and indexes are created using SQL language. Audit Logs Website development Network tools Data warehousingUse Cases: ERP CRM Data Warehousing
11Replication is straightforward and easy to roll out. It is a one-way asynchronous process. Load Balance reads on slaves and writes on Master.Replication is synchronous. The process called Write Ahead Log archiving and replication is near real-time.
12Supports Multiple Storage EngineUses Single Storage Engine
13Analytics functions are not supportedSupport Analytic functions
14Table inheritance is not supportedTable inheritance is supported
15Supports for B Tree and Hash IndexesInbuilt support for B Tree and Hash Indexes
16Available on multiple operating systemsAvailable on multiple operating systems
17Supports table partitioning to improve the performance of queries.Supports table partitioning to improve the performance of queries.
18Popular with LAMP Stack. (Linux, Apache, MySQL/ Mongo DB, Php/Python)  Popular with LAPP Stack. (Linux, Apache, Postgres, Php/Python)

Till you come to any conclusion on MySQL vs PostgreSQL and finally choose one there are a lot of decisions to make. But Don’t worry, you can easily integrate both MySQL & PostgreSQL with Daton as your data warehouse, no matter which database you choose.

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