![]() ![]() Postgres is truly open-source and community-driven, while MySQL has had some licensing issues. MySQL started as a company product offering free and paid versions and in 2010, Oracle acquired MySQL AB led to some understandable concerns among developers especially the community concerning its availability for future open source status. ![]() One of the major differences between Postgres and MySQL is that Postgres is truly open-source and heavily community-driven giving it major flexibility and future growth while on the other hand, MySQL suffers from some licensing issues hindering its potential. And it won't hurt to try and ask around for some feedback and opinions which can help and save you from a lot of headaches Default Installation and Extensibility of Postgres and MySQL You must also consider what framework you’re working on, maybe it will prefer one over the other due to driver compatibility. ![]() Additionally, your platform provider might have a preference, for instance, Heroku prefers Postgres and offers operational benefits to running it. These are only some of the factors a developer might want to consider when choosing a database there are more factors you should weigh before starting up a new project. Postgres is built for the future with extensibility, scalability, compliance to standards, and integrity of data in mind so making Postgres the worse choice for a simple job. Postgres forks a new process for each new client connection which allocates a non-trivial amount of memory for about 10MB.įor simple, read-heavy workflows, MySQL will be a much better choice. While Postgres is making leaps and bounds in terms of progress despite catching up in recent versions, it is still not as popular as MySQL as it is still widely known and used so Postgres will suffer from the small number of 3rd party tools or even developers/database admins available. When to Use MySQLīut despite all those advantages, Postgres still have some drawbacks that you should largely consider before starting. ![]() Postgres implements Multiversion Concurrency Control (MVCC) without read-locks Postgres supports parallel query plans that can use multiple CPUs/cores Postgres can create indexes in a non-blocking way(by using the CREATE INDEX CONCURRENTLY syntax), and it can create partial indexes (for example, if you have a model with soft deletes, you can simply create an index that will ignore records marked as deleted) Postgres is highly regarded for data integrity protection at the transaction level which makes it less vulnerable to data corruption saving you a lot of hassle. Postgres handles concurrency way better than MySQL for multiple reasons, here are some examples: Postgres also adheres more closely to SQL standards. This means that Postgres includes features like table inheritance and function overloading, which can be important to certain applications. Postgres is an object-relational database, while MySQL is a purely relational database. But MySQL improves upon its heavy data writes due to optimization from its newer versions thus closing the gap Postgres have over heavy data write Postgres Advantages over MySQL If InnoDB was instead used, which gives way more features like transactions, key constraints, and a lot more, the difference can be seen as negligible like it doesn't even exist! These are the critical features that are badly needed for enterprise or even minuscule consumer-scale applications, making the usage of the old engine pretty much not viable by today’s standards. The difference between MySQL and Postgres in terms of performance has been largely close due to recent versions, make no mistake, MySQL is still way ahead of Postgres in terms of data reading, but only if it uses an old MyISAM engine. Before, Postgre was made to write large amounts of data efficiently with the drawback of the reads were slower than MySQL but it handles concurrency way better than its counterpart. It was built to be feature-extensive, extendable, and compliant with standards. While PostgreSQL, also known as Postgres, advertises itself as “the most advanced open-source relational database in the world”. Historically, MySQL has had a reputation as an extremely fast database for read-heavy workloads, sometimes at the cost of concurrency when mixed with write operations. But it is still worth it to reconsider Postgres’s advantages over MySQL before starting a new project in the default database setting. They also seem to fare well in the case of future-proofing for growth in an unseen future. They both do well in terms of replication, and many cloud providers offer scalable versions for both of them. MySQL and PostgreSQL don't seem to differ a lot, they both perform well for most applications that utilize them. Analyzing the Difference Between PostgreSQL vs. ![]()
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