![]() ![]() For example, if a custom data type is required to support the needs of the business, PostgreSQL can handle it. ![]() ![]() While this makes PostgreSQL more flexible, it also makes it (potentially) more complex to maintain. PostgreSQL’s flexibility/complexity paradigm introduces another disparity between the two database systems: the learning curve. Because PostgreSQL has added flexibility and customization, it also requires a database administrator (DBA) or IT team well-versed in dealing with OOP programming and more complex implementation issues. Also, because the primary source for support is the technical community at large, it may be more difficult to find answers to unique or business-specific challenges. MySQL, on the other hand, is renowned for its simplicity. Because it is strictly an RDBMS, users rave about how quickly they were able to integrate the database into their projects. DBA’s and IT teams with some database experience will find MySQL easy to implement and very intuitive. This also means that technical questions or issues are usually more generic, and the MySQL community can quickly provide answers.Īnother difference between MySQL and PostgreSQL is speed. MySQL, again due to it being an RDBMS only, is 'slimmer' and thus inherently faster. Though, speed is always reliant on the hardware that supports it. Because MySQL has less complexity, it has less to contend with. Therefore, it is considered an all-around faster database. When stacking all these differences together, one final difference is also seen. Because MySQL is faster and has less complexity, it is often used where speed is mission critical. Examples of where MySQL is often used is in Content Management Systems (CMS) and web applications. Because PostgreSQL has more data type flexibility and greater flexibility for handling edge-case business challenges, it is often used for applications where the data load and data challenges are great. ![]()
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