PostgreSQL
44vendors are named alongside PostgreSQL. 8 sources reference it, most recently CISA issues alert on VPS.org one-click deployment templates vulnerabilities (Aug 2026).
What is PostgreSQL?
PostgreSQL is an open-source Relational Database Management System (RDBMS) designed for transactional and analytical workloads with strong Structured Query Language (SQL) and extensibility support (database platform).
- Open-source object-relational database system with full SQL support (database platform).
- ACID-compliant transactional processing with multi-version concurrency control (transaction processing).
- Extensible data types, indexes, and procedural languages through user-defined functions and extensions (database extensibility).
- Advanced query processing, indexing, and optimization for complex workloads (query engine).
- Replication, partitioning, and high-availability features for production deployments (data infrastructure).
Show more
More About PostgreSQL
PostgreSQL is an object-relational database management system (RDBMS) (database platform) designed to store, manage, and query structured and semi-structured data for transactional and analytical applications. It implements a large portion of the SQL standard (data query language) and adds features such as advanced data types, indexing methods, and extensibility mechanisms for enterprise workloads.
The core of PostgreSQL provides ACID-compliant transactions and multi-version concurrency control (MVCC) (transaction processing), which allow concurrent reads and writes without blocking readers. It supports foreign keys, joins, views, triggers, and stored procedures (relational data management), enabling the implementation of complex business logic close to the data. The system includes a cost-based query planner and optimizer (query engine) that evaluates multiple execution strategies for SQL queries.
PostgreSQL includes extensibility features that allow users to define custom data types, operators, index methods, and functions (database extensibility). It supports procedural languages such as PL/pgSQL and other server-side languages (stored procedure environment) for writing functions and triggers. The extension framework (plugin ecosystem) allows deployment of additional modules that add capabilities such as advanced indexing, monitoring, or specialized data processing, as documented in the official ecosystem.
For enterprise environments, PostgreSQL provides replication and high-availability mechanisms (data infrastructure). It supports physical streaming replication and logical replication (data replication), which can be used for read scaling, standby servers, and migration scenarios. Table partitioning (data management) is available for large tables, improving manageability and helping performance tuning. Backup and restore tools such as pg_dump and pg_basebackup (database tooling) support data protection and Disaster Recovery (DR) workflows.
PostgreSQL supports standard client connectivity using protocols such as its own native wire protocol over Transmission Control Protocol (TCP) (database connectivity), with drivers available for many programming languages as documented on the official site. It runs on multiple operating systems, including various Unix-like systems and Windows (infrastructure compatibility), and can be deployed on bare metal, virtual machines, and containerized environments as part of larger application stacks.
In institutional and enterprise settings, PostgreSQL is used as the primary transactional database, as a backend for web and business applications, and as a component in data warehousing and reporting architectures (enterprise data platform). Its standards-based SQL implementation, extensibility, and replication and partitioning features place it in the category of general-purpose relational database platforms suitable for on-premises (on-prem), cloud, and hybrid deployments.