Database Management

MySQL vs PostgreSQL

MySQL vs PostgreSQL

RDBMS:

RDBMS means a Relational database management system. It is based on the relational model, which depicts a straight forward way of representing data in tables which is intuitive. In RDBMS each row of a table is a record with a unique ID called a key. MySQL, ORACLE database, PostgreSQL, IBM Db2 are common examples of RDBMS.

My SQL:

  • It is a Relational database management system
  • It is fast and easy
  • Used for large applications and small applications

PostgreSQL:

  • It is an Object-relational database system
  • It provides an advanced security system

Comparison between MySQL and PostgreSQL

My SQLPostgreSQL
Implemented in C/C++Implemented in C
Supports standard data typesSupports advanced data types
GUI tool is MySQL WorkbenchGUI tool is PgAdmin
Does not support partial index, bitmap index, and expression indexIt supports all this index
Does not provide support for materialized views and table inheritanceIt provides support for both
It is partially SQL compliantIt is largely SQL compliant
Mostly used in web development based projectsMostly used in large web applications and mobile applications
Performs well in the OLAP and OLTP systemsPerforms well during executing complex queries
Default value can be changed at the statement level and at session-levelDefault value can be changed at the system level and at session-level
It supports JSON data type but doesn’t support other NoSQL featureIt supports JSON data type and other NoSQL feature like native XML support.
When it is appropriate, two or more B-tree indexes can be usedTo evaluate are dynamically converted predicts, B-tree indexes are merged at runtime

Why Use MySQL:

  • Offload Reporting supporting
  • Geographic data distribution supporting
  • Query cache for statements that are used repeatedly
  • For frequently used tables support a Memory storage engine

Why Use PostgreSQL:

  • It has Useful features like Point in time recovery, Table partitioning, Transactional DDL etc.
  • Support Algorithms like 3DES, AES
  • It is redistributable

Features of MySQL:

  • It is Multi-threaded
  • Multi-layered design with the independent module
  • It is capable to handle any amount of data
  • Object-oriented
  • Stored procedures are used for complex queries and programs

Feature of PostgreSQL:

  • Stored procedures and triggers are used for complex programs
  • It can run on all large os platforms
  • It supports modern applications like XML, JSON
  • For efficient support data, and foreign key support
  • For a large number of concurrent users MVCC support

Disadvantage of MySQL:

  • When the server crash it can corrupt the system catalog
  • Difficult in maintaining for many users
  • Stored procedures are not cacheable
  • For preventing centrally managed accounts there is no pluggable authentication module

Disadvantage of PostgreSQL:

  • For the major release, there is no upgrade facility
  • Query execution plans are not cached
  • The solution requires a high learning curve
  • To directly return the result of the query, the index cannot be used

Summary:

MySQL and PostgreSQL both are very useful. But it depends on our business requirements which one is better for our project.

PostgreSQL includes features like function overloading and table inheritance, which can be important in some applications. PostgreSQL handles concurrency better than MySQL. At the transaction level, PostgreSQL is known for protecting data integration. This makes it less vulnerable to data corruption.

PostgreSQL has some drawbacks that we should consider. PostgreSQL has a smaller number of developer/database administrators or 3rd party tools available. For each new client connection, PostgreSQL forks a new process that allocates non-trivial amounts of memory. PostgreSQL is built with scalability, extensibility, standard compliance, and data integrity in mind – sometimes at the expense of speed. So, for simple, read-heavy workflows MySQL is a better choice compared to PostgreSQL.

Contact us today to find out which RDBMS is perfect for you and your requirement.