![]() Meanwhile, MySQL is still pretty fast at reading data if you’re using the old MyISAM engine. PostgreSQL was built to be standards-compliant, feature-rich, and extendable. This makes MySQL the more suitable choice for applications of less-than-enterprise scope. On the other hand, MySQL utilizes a single process and maintains a single thread for every connection. This requires a lot of memory on systems with many client connections. PostgreSQL generates a new system process via memory allocation for every client connection established. The vast array of storage engines allows you to quickly leverage them for other use cases. MySQL offers support for 15 different storage engines apart from its default storage engine, InnoDB. PostgreSQL houses a single, ACID-compliant storage engine. On the flip side, it also makes it more complex to work with PostgreSQL. PostgreSQL offers more sophisticated data types, and lets objects inherit properties. MySQL is a purely relational database, whereas PostgreSQL is an object-relational database. ![]() MySQL is generally known to be faster with read-only commands at the cost of concurrency, while PostgreSQL works better with read-write operations, massive datasets, and complicated queries. Ultimately, it comes down to how you use them. You can quite easily find benchmarks that recommend one database based on the configuration, the test, and the hardware. ![]() However, there’s no clear winner in this category. Here’s a list of languages that MySQL supports:īoth PostgreSQL and MySQL are famous for being some of the fastest DBMS solutions floating in the market. PostgreSQL, on the other hand, offers support for a wider range of programming languages: PostgreSQL and MySQL support many of the same languages with a few differences. If you need to use these subqueries frequently for your business, then PostgreSQL would be a more apt choice. MySQL isn’t as fully SQL-compliant as PostgreSQL, which does support all of the sub-queries mentioned above. However, MySQL doesn’t support several subqueries, like “LIMIT” or “ALL.” It also doesn’t support standard SQL clauses like “OUTER JOIN.” Enter fullscreen mode Exit fullscreen mode
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