With multiple indexing options, you can finely configure your database implementation as your data grows to get faster query responses and an improved user experience for your end users. Both databases will suit you if you only use essential character and numeric data types.ĭatabases use indexes to speed up queries. Postgres supports a broader variety of data types than MySQL, making it a better pick if your application requires dealing with any unique data types compatible with or unstructured data. Views, triggers, and stored procedures are the three standard database features, with PostgreSQL featuring more robust views and supporting materialized views, which can offer better performance for complex queries.īoth databases support standard SQL-stored procedures, but PostgreSQL boasts the ability to call procedures coded in languages other than SQL. On the other hand, MySQL employs a single process that maintains one thread (or path of execution) per connection, which performs well for most applications of less than enterprise scope. It requires a lot of memory on systems with many client connections. PostgreSQL creates a new system process with its memory allocation for each independent client connection it establishes. While MySQL supports 16 different storage engines suitable for other use cases, PostgreSQL has a single ACID-compliant storage engine. Still, it also means working with PostgreSQL is more complicated. PostgreSQL is designed as an object-relational database, while MySQL is strictly relational, translating to PostgreSQL offering more complex data types and allowing objects to inherit properties. Let's compare the most widespread databases - MySQL and PostgreSQL - across different application needs. Postgres or MySQL, which is the better option? The answer depends on your application-specific requirements from back-end data infrastructure. Most application frameworks have some object-relational mapping tool configured by default that hides the dissimilarities between the different platforms, making them all equally slow. When starting a new project choosing a database management system is usually an afterthought, especially on web applications.
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