Postgres Pro Standard

Postgres Pro Database is a PostgreSQL-based DBMS developed by Postgres Professional, coming in two editions, Postgres Pro Standard & Postgres Pro Enterprise.

Postgres Pro Standard

Postgres Pro Standard provides early access to the newest PostgreSQL features and performance improvements before they are committed to the official PostgreSQL release. On average, Postgres Pro Standard users can get familiar with the new PostgreSQL features one year in advance.  They also have access to vendor technical support by Postgres Professional which covers both Postgres Pro and community-developed PostgreSQL databases.

Postgres Pro Standard releases combine the corresponding PostgreSQL version with a number of patches and extensions by Postgres Professional. You can see some of them already accepted into future PostgreSQL releases. Usually, almost all of them are already listed at commitfest.

Postgres Pro Versioning

Postgres Pro version number is specified by adding one sub-release number to the corresponding PostgreSQL version number. With every PostgreSQL minor release, the additional number is reset. For example, Postgres Pro versions created on the base of PostgreSQL 11.4 would be numbered as  11.4.1, 11.4.2 etc.

We provide prebuilt packages for several platforms, including the following ones:

  • AlterOS 7
  • Lat Server 9 / 8
  • Alt Linux SPT 8.2 / 8 / 7
  • Astra Linux Special Edition (Leningrad) 8.1
  • Astra Linux Common Edition (Orel) 2.12
  • Astra Linux Special Edition (Smolensk) 1.6 / 1.5
  • CentOS 8 / 7
  • Debian 10 / 9 / 8
  • GosLinix 7
  • MSVSphere 6
  • Oracle Linux 8 / 7
  • OSnova 2.0
  • RED OS 7
  • Red Hat Enterprise Linux 8 / 7
  • ROSA Enterprise Linux Server 7
  • Rosa SX 7
  • SUSE Linux Enterprise Server 15 / 12
  • Ubuntu 21.04 / 20.10 / 20.04 / 18.04
  • Windows / Windows Server

The latest Postgres Pro Standard version is 13.3.1, released on  May 31, 2021. 

Postgres Pro Enterprise DBMS, which is an advanced Postgres Pro version, is recommended for higher workloads, increased reliability, and large-scale database deployments.