PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. The origins of PostgreSQL date back to 1986 as part of the POSTGRES project at the University of California at Berkeley and has more than 30 years of active development on the core platform.
PostgreSQL has earned a strong reputation for its proven architecture, reliability, data integrity, robust feature set, extensibility, and the dedication of the open source community behind the software to consistently deliver performant and innovative solutions. PostgreSQL runs on all major operating systems, has been ACID-compliant since 2001, and has powerful add-ons such as the popular PostGIS geospatial database extender. It is no surprise that PostgreSQL has become the open source relational database of choice for many people and organisations.
Getting started with using PostgreSQL has never been easier - pick a project you want to build, and let PostgreSQL safely and robustly store your data.
PostgreSQL comes with many features aimed to help developers build applications, administrators to protect data integrity and build fault-tolerant environments, and help you manage your data no matter how big or small the dataset. In addition to being free and open source, PostgreSQL is highly extensible. For example, you can define your own data types, build out custom functions, even write code from different programming languages without recompiling your database!
PostgreSQL tries to conform with the SQL standard where such conformance does not contradict traditional features or could lead to poor architectural decisions. Many of the features required by the SQL standard are supported, though sometimes with slightly differing syntax or function. Further moves towards conformance can be expected over time. As of the version 13 release in September 2020, PostgreSQL conforms to at least 170 of the 179 mandatory features for SQL:2016 Core conformance. As of this writing, no relational database meets full conformance with this standard.
Below is an inexhaustive list of various features found in PostgreSQL, with more being added in every major release:
There are many more features that you can discover in the PostgreSQL documentation. Additionally, PostgreSQL is highly extensible: many features, such as indexes, have defined APIs so that you can build out with PostgreSQL to solve your challenges.
PostgreSQL has been proven to be highly scalable both in the sheer quantity of data it can manage and in the number of concurrent users it can accommodate. There are active PostgreSQL clusters in production environments that manage many terabytes of data, and specialized systems that manage petabytes.
The first place to go to for any questions on PostgreSQL is its world-renowned documentation which discusses how to use the database software in-depth.
Postgres is a truly awesome database. When we started working on Launchpad I wasn't sure if it would be up to the job. I was so wrong. It's been robust, fast, and professional in every regard.
Mark Shuttleworth, Ubuntu Linux
PostgreSQL 9.3 provides features that as an app developer I can use immediately: better JSON functionality, regular expression indexing, easily federating databases with the Postgres foreign data wrapper ...
Jonathan S. Katz, VenueBook
We've been using PostgreSQL for the Gandi IAAS/PAAS platform and recently internally, to build one of our live systems that stores/computes/outputs millions rows daily, very easily.
Pascal Bouchareine, Gandi.net
Etsy is the sum total of its data, so when it came to choosing where to store our critical information there was only one sound choice. PostgreSQL's strong emphasis on quality, stability, and data integrity contribute to making it the premier open source database.
The Etsy Development Team, Etsy.com
Developers are more likely to port SQL Server to Postgres because it is open source, supports more ANSI features, runs on more platforms, uses a different ACID model and has a great optimizer.
Joe Celko, Author of SQL For Smarties