The MySQL Vs PostgreSQL Dilemma
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:
|1||Origin: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.|
|2||Relational Database.||Object-based relational database. They are also used as No SQL DB.|
|3||Open Source.||Open Source.|
|4||Reliability – ACID is supported||Reliability – ACID is supported|
|5||General-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.|
|6||Based on C and C++||Based on C|
|7||Reliable and popular programme DB and supports standard data types||Supports Complex queries, Advanced data types|
|8||GUI is called MySQL WorkBench||GUI is called PgAdmin|
|9||Most DB driven Web Apps also use MySQL||Support small single machine Apps as well as large warehouses.|
|10||Use Cases: Stored procedures, views and indexes are created using SQL language. Audit Logs Website development Network tools Data warehousing||Use Cases: ERP CRM Data Warehousing|
|11||Replication 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.|
|12||Supports Multiple Storage Engine||Uses Single Storage Engine|
|13||Analytics functions are not supported||Support Analytic functions|
|14||Table inheritance is not supported||Table inheritance is supported|
|15||Supports for B Tree and Hash Indexes||Inbuilt support for B Tree and Hash Indexes|
|16||Available on multiple operating systems||Available on multiple operating systems|
|17||Supports table partitioning to improve the performance of queries.||Supports table partitioning to improve the performance of queries.|
|18||Popular 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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