Difference between Mysql and PostgreSQL
Databases are very crucial tool for any developer or a development enterprise. If you are a software developer you already know that your application needs a database to store data. One thing to have in the count is to choose the best database for your application.
MySQL is a database management system that allows you to manage relational databases. It is open source software backed by Oracle. It means mysql is customizable So you can able to change its source code to suit your needs as per the GPL license.
PostgreSQL is nothing but a general purpose object relational database management system. It is very helpful because it allows you to add custom functions developed using different programming languages such as C/C++, Java, etc.
Our primary focus is to help you to determine which of the two databases to use in your own development. So let's have a brief differences between these 2 databases:
1. Access Methods : These methods are common to both MySQL and PostgreSQL which include ADO.NET, JDBC and ODBC. ADO.NET is a set of Application Programmer Interfaces that is used by many programmers to access the data based on XML.
On other hand JDBC is an API for the Java programming language that accesses databases, while ODBC is a standard API for accessing databases. When it comes to PostgreSQL, it can also be accessed with routines from the platform’s native C library as well as streaming APIs for large objects.
2. Replication : It is common that database may use multiple methods to store redundant data across multiple nodes. But MySQL uses master-master replication, in which each node can update the data.
Both MySQL and PostgreSQL can perform master-slave replication, where one node controls the storage of data by the other nodes. PostgreSQL can also handle other types of replication with the further implementation of third-party extensions.
3. Governance : This governance model around the MySQL and PostgreSQL will tell you significant differences between the two database technologies. Moreover Postgres is available as open source license from the PostgreSQL Global Development Group. Where as MySQL is completely controlled and managed by Oracle.
4. Partitioning : MySQL and PostgreSQL will differ more with respect to their partitioning methods, which will clearly explain like how data is stored on different nodes of the database.
Since MySQL makes use of a technology named MySQL Cluster to perform the horizontal clustering, where it performs functions like creating multiple clusters with a single cluster instance within each node.
Where as PostgreSQL doesn’t implement true partitioning, Since it can provide a similar kind of capability with table inheritance. But the task is involved with a separate sub-table to control each “partition.”
5. Supported Platforms: This is very important point to know before installation process been take place. Postgresql and Mysql is supported on Linux, OS X, Solaris and Windows operating systems.
Apart from this MySQL also supports the FreeBSD OS, which is open source. PostgreSQL supports the HP-UX operating system, which is developed by Hewlett Packard.
Difference Between MySQL and PostGreSQL
MySQL is known as RDBMS (relational database management system) designed and developed by Oracle with open source code. Being a open source code it is available for free of cost under the GNU General public license, as well commercial versions of MySQL are too available under several proprietary compliances for VPS hosting. PostGreSQL is a ORDBMS an abbreviation to Object-Relational Database Management System that is developed and maintained by the PostGreSQl Global Development Group. PostGre is also an open source platform, released under the permissive PostGreSQL license. The differences between MySQL and PostGreSQL contain the below mentioned categories:
The governance model around the MySQL database and PostgreSQL database is one of the more huge contrasts between the two database technologies. MySQL is controlled by Oracle corporation, though Postgres is accessible under an open-source license from the PostgreSQL Global Development Group for VPS hosting. Thusly, there has been expanding enthusiasm for Postgres in the course of recent years. Both are open source, yet Postgres has picked up in prevalence as of late.
Both of the databases MySQL as well as PostGreSQL can run on the Linux, Solaris, OS X and Windows based operating systems. Linux is well-known open source operating system, OS X is developed by Apple technology, Solaris is designed by Oracle corporation and Windows is a product of Microsoft corporation. MySQL also sustains the FreeBSD OS, which is an open source platform. PostGreSQL database sustains the HP-UX OS , which is developed and maintained by HP (Hewlett-Packard).
Access processes that are common to both MySQL as well as PostGreSQL contain ADO.NET, JDBC and ODBC.ADO.NET is a set of APL’s that programmers and developers use to obtain data on XML. JDBC is also an API for java based programming language that obtains databases at the same time ODBC is a normal API for accessing databases. PostGreSQL can be obtained with routines from the platform’s native C library in addition to streaming APIs for big objects for VPS hosting.
Both MySQL and PostGreSQL vary significantly as for the partitioning strategies, Which decide how data is put aways on various nodes of the database. MySQL utilizes an exclusive technique known as MySQL Cluster to execute horizontal clustering, which comprises of making various clusters with a solitary cluster instance. PostGreSQL database does not actualize genuine partitioning, in spite of the fact that it can give a comparable capacity table legacy. This function contains utilizing a different sub-table to manage each and every partition.
A database may utilize different techniques to store repetitive information over various hubs. MySQL utilizes master-master replication, in which every hub can update the information. Both MySQL and PostgreSQL can perform master-master replication, where one hub controls the capacity of information by alternate hubs. PostgreSQL can likewise deal with different kinds of replication with the execution of third-party expansions.