

When that assumption fails them, they experience a series of outages and errors. In his experience, end-users assume that MySQL replication features will operate as intended without planning or oversight. In response to kaamos’ feature wish list, user "fusiongyro" replied that advanced replication strategies in MySQL cause "hair loss and divorce" due to faulty distributed consistency. Kaamos notes that those features are "huge for people who design and operate the busiest websites on the internet, (w)hich is probably why MySQL still shines in that field." efficient MVCC implementation that is unaffected by XID wraparound problems and VACUUM issues.ability to specify column order when adding a new column with ALTER TABLE.NoSQL client APIs (HandlerSocket, memcached protocol, X protocol).write-optimized storage engines similar to MyRocks and TokuDB.page-level compression, encryption, and incremental backups.synchronous multi-master cluster (Galera, Group Replication).distributed in-memory grid with automatic sharding.ability to choose data page size on database creation.built-in event scheduler and logical replication.On September 5, 2017, Hacker News user "kaamos" published a list of features present in MySQL but missing from PostgreSQL 9.2.23, which was the latest version at the time: PostgreSQL vs MySQL - missing features list
#Postgres vs mysql speed professional#
This reveals the first major difference between the two - PostgreSQL is a free product maintained by volunteers that do community support, while MySQL is a corporate product with professional deployment and support. The product was bought by Oracle through a corporate acquisition in 2010. In 1994, Michael Widenius created a competitor product called "MySQL". In 1985, the project was revamped at Berkeley under the name "Postgres", and later changed to "PostgreSQL" to acknowledge the accessibility of SQL. According to the Wikipedia article on the matter, the advantage of Ingres was that it used QUEL, a more formal but more precise query language compared to SQL. The project was written in C and released to the public under an open-source license. In 1973, UC Berkeley started a project, dubbed "Ingres", to set a new standard for relational database management systems. What sets them apart is the topic of this article. What they have in common is robust network fault tolerance and support for data clustering. They are used by all market demographics, including commercial enterprises and open-source foundations.

PostgreSQL and MySQL are the two most popular relational database management systems (RDMS) in the world.
