These features included the ability to define types and to fully describe relationships – something used widely, but maintained entirely by the user. The new project, POSTGRES, aimed to add the fewest features needed to completely support data types. He won the Turing Award in 2014 for these and other projects, and techniques pioneered in them. He returned to Berkeley in 1985, and began a post-Ingres project to address the problems with contemporary database systems that had become increasingly clear during the early 1980s. In 1982, the leader of the Ingres team, Michael Stonebraker, left Berkeley to make a proprietary version of Ingres. PostgreSQL evolved from the Ingres project at the University of California, Berkeley. It was the default database for macOS Server and is also available for Linux, FreeBSD, OpenBSD, and Windows. It is designed to handle a range of workloads, from single machines to data warehouses or web services with many concurrent users. PostgreSQL features transactions with atomicity, consistency, isolation, durability ( ACID) properties, automatically updatable views, materialized views, triggers, foreign keys, and stored procedures. After a review in 2007, the development team decided to keep the name PostgreSQL and the alias Postgres. In 1996, the project was renamed to PostgreSQL to reflect its support for SQL. It was originally named POSTGRES, referring to its origins as a successor to the Ingres database developed at the University of California, Berkeley. PostgreSQL ( / ˈ p oʊ s t ɡ r ɛ s ˌ k juː ˈ ɛ l/, POHST-gres kyoo el), also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance. Linking from code with a different licence PostgreSQL License ( free and open-source, permissive) I prefer Postgres, though I haven't had a chance to use it, as most of the time I'm not choosing the platform. partitioning, replication, covering indexes, in-memory operation are all really useful for high-volume. I believe you'll find some features of MySQL/Maria scaled with the use by high volume sites like news aggregators Slashdot, & Digg. MySQL/Maria supports running on systems with fewer resources (it's generally smaller), more/better/additional partitioning/sharding methods, more replication strategies (partially thanks to the for-profit wing of MySQL, covering indexes on InnoDB, in-memory operation. I'm not an expert in the area, but I am a bit interested in what sort of errors you experienced trying to use MariaDB.Īs far as feature comparisons, I found a few sources. MariaDB is the literal, not just spiritual, successor to MySQL. These features give you performance, functionality, or development advantages, but further tie your software to the chosen platform.Īfter Oracle bought MySQL, people were understandably nervous about the future of the project. And with long-running projects, you start identifying and consuming the unique features of the tools you are using. Simple and fast and "helpful" is a really compelling argument, and part of why it underscores a lot of long-running projects. Adherents of strict type checking or people charged with running down data inconsistencies will strongly disagree that this is a "feature" at all, though. Automatically correcting common or simple errors was super convenient for small developers in the late 1990s, early 2000s. It also was more permissive about incorrect types and automatic type conversions (still is, I believe). MySQL was missing a lot of functionality, like transactions, but was really simple and blazing fast. Twenty years ago, Postgres was powerful but comparatively heavy. Maybe one day pgsql will be a silver bullet for all projects, but for now I don't think so. In other project with simpler queries we choose mysql because maintenance stops will kill our SEO. In our actual project we need to stop psql once per month to exec full vacuum (autovacum can't run because we have a lot of writes and wraparound problem is a real problem for us), but mysql can't run our complex queries without die. Read commited as default instead mysql repeteable read isolation as default.īut I hate write custom failover scripts (data copy, stonish, choose replication method, failover trigger.) that can be buggy and had data losses and outages.įor me mysql is easier to maintain, but for some problems mysql is a no go.For some problems I prefer percona clusters (mysql) over pgsql ones.
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