Database management systems are one of the key links for data creation and management in the companies. An efficient database management system, provides easy accessibility of data, allowing smooth functioning of enterprises around the world.
Currently, the two leading database management systems are PostgreSQL & MySQL.
PostgreSQL is the world’s most advanced open source relational database management system (DBMS), developed by a diverse team of experts. PostgreSQL is not controlled by any corporation or other private entity and the source code is available free of charge.
MySQL is world’s most popular open source relational database management system (RDBMS) currently developed by Oracle with open-source code. This code is available for free under the GNU General Public License, and commercial versions of MySQL are also available under various proprietary agreements.
Let’s take a look, at ten key parameters that highlight the key differences between MySQL and PostgreSQL.
SQL Compliance: PostgreSQL is largely SQL (Structured Query Language) compliant, supporting major features of SQL:2011. Out of 179 mandatory features required to be fully compliant, PostgreSQL complies with at least 160. On the other hand, MySQL remains to be partially compliant to SQL:2011.
The other features MySQL does not support include the following:
- CTE (Common Table Expression).
- Window functions.
- Full outer joins.
- Working with arrays.
ACID Compliance: PostgreSQL is ACID (Atomicity, Consistence, Isolation, Durability) compliant and ensures that all requirements are met. Where, MySQL is ACID compliant when used with cluster storage engines like InnoDB and NDB.
- Replication: Electronic copying of data or replication with PostgreSQL supports Master-Standby replication, with extremely rapid built-in WAL (Write- Ahead Logging), resulting in lesser time-lags. Replications offered by MySQL supports Master-Standby replications, circular replication and master to master replications.
- Performance: PostgreSQL is widely used in large systems where read and write speeds are crucial and data needs to be validated. PostgreSQL also works well with Business Intelligence applications but is better suited for data warehousing and data analysis applications that require fast read/write speeds. Whereas MySQL, is widely chosen for web based projects that needs a database simply for straightforward data transactions. It tends to underperform, when strained by a heavy load or when attempting to process complex queries.
- Security: PostgreSQL works with ROLES and inherited roles, to set and maintain permissions. It has native SSL (Secured Socket Layer) support for connections to encrypt client/server communications. It also has Row Level Security. Additionally, PostgreSQL comes with a built-in enhancement called SE-PostgreSQL (Security Enhanced- PostgreSQL), which provides additional access controls. While, MySQL only supports, authentications based on login credentials. These credentials are stored and managed within the database itself.
- Concurrency Support: PostgreSQL handles concurrency efficiently with its MVCC (Multi Version Concurrency Control) implementation, which has the ability to tackle very high levels of concurrency. On the contrary, MySQL has MVCC support, only in InnoDB.
- NoSQL Features/JSON Support: PostgreSQL supports JSON and other NoSQL features, like native XML support etc. It also supports indexing JSON data for faster access. While, MySQL has JSON data type support, it supports no other NoSQL feature. It does not support indexing for JSON.
- Materialized Views/Temporary Tables: PostgreSQL supports materialized views and temporary tables. Whereas, MySQL supports temporary tables but not materialized views.
- Geospatial Data Support: PostgreSQL supports geospatial data through the PostGIS extension. The analysis and coding is easy for the developers, as there are dedicated types and functions for geospatial data, available directly at database level. In MySQL geospatial data support is built in.
- Extensible Type System: PostgreSQL has several extensibility features. It is possible to add new types, functions, index types, etc. While MySQL does not support extensibility.
As can be seen from the above parameters of both the Database Management Systems (DBMS), PostgreSQL emerges to be more dynamic, versatile, flexible, secured and scalable, when it comes to manage and access complex systems. Hence, for a robust, secure and dynamic ERP solution, PostgreSQL is the ideal platform. EPPS uses the latest technology i.e. a combination of Java & PostgreSQL. This gives us, the advantage of being a future ready platform that can easily accommodate any future technological advancements. Click here, to boost your business productivity and benefit with a modern, easily scalable and flexible ERP solution.