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PostgreSQL — database and server operations

An open-source RDBMS known for ACID compliance, scalability, and standards compliance. Widely used across web, analytics, and embedded applications.
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A leading open-source relational database with ACID transactions and scalability.

Basic Information

Program namePostgreSQL
One-line introductionA leading open-source relational database with ACID transactions and scalability.
Development / MaintenancePostgreSQL Global Development Group
Official homepagehttps://www.postgresql.org/
Official documentationhttps://www.postgresql.org/docs/
Official downloadhttps://www.postgresql.org/download/
Supported operating systemsLinux, macOS, Windows, FreeBSD, etc.
LicensePostgreSQL License (BSD-style, commercial use allowed)
Stable version18.x stable line (version 19 beta released 2026-09) — confirmed 2026-10-18
GitHub repositoryhttps://github.com/postgres/postgres
CategoryDatabase and server operations (tags: database, RDBMS, SQL, server operations, open source)

What is this program?

PostgreSQL (Postgres) is a leading open-source relational database that has been around since 1996. It provides ACID transactions, multi-version concurrency control (MVCC), and standard SQL compliance, and also includes extensions such as JSON, GIS, and full-text search.

It is used for web service backends, analytical workloads, and embedded deployments, and because its license is permissive, it is often embedded as-is in commercial products. In server operations, configuration, backup, and recovery procedures are key management areas.

What problems does it solve?

  • ('In web service operations', 'when you need a reliable transactional store', 'handles multi-user writes with MVCC-based concurrency.')
  • ('In data analysis', 'when you need SQL analytics such as aggregation, joins, and window functions', 'performs analytical queries using standard SQL and extensions (e.g., aggregate functions).')
  • ('In self-hosting/embedding', 'when you need to run a database yourself without cloud dependency', 'because it is open source, you can deploy it without licensing cost burden.')

Key Features

Transactions / MVCC

Concurrent reads and writes across multiple sessions without conflicts

  • Use case: web transaction processing
  • Result: ensures data consistency and isolation
  • Limitations: long-running transactions can create junk records and performance problems.

Extensions / Partitioning

Scale out with extensions (e.g., PostGIS) and table partitioning

  • Use case: large-scale and GIS data
  • Result: extension configuration tailored to the workload
  • Limitations: poor extension/partitioning design can create a significant maintenance burden.

Replication / Backup

Streaming replication and pg_dump-based backup

  • Use case: high availability and disaster recovery
  • Result: read load distribution and a recovery system
  • Limitations: untested recovery procedures can be fatal in an outage.

Standards-compliant SQL

SQL implementation that follows the standard

  • Use case: portability
  • Result: compatible with other tools and libraries
  • Limitations: portability decreases when using non-standard extensions.

Installation and Execution

Ubuntu / Debian

Install the repository version and start the service.


sudo apt update
sudo apt install postgresql postgresql-contrib
sudo systemctl enable --now postgresql

RHEL / CentOS / Fedora

Install with dnf.


sudo dnf install postgresql-server postgresql-contrib
sudo postgresql-setup --initdb
sudo systemctl enable --now postgresql

macOS / Windows

Use Homebrew or the official installer (EDB).


brew install postgresql@17   # macOS
# Windows: use the EDB installer from postgresql.org/download

Practical Usage Examples

Connecting with psql

Connect as the postgres user and start the admin console.


sudo -u postgres psql
postgres=# \l          # database list
postgres=# \c mydb     # connect to mydb

Creating and Inserting into a Table

Define the schema and insert data using standard SQL.


CREATE TABLE users (id serial PRIMARY KEY, name text);
INSERT INTO users (name) VALUES ('alice') RETURNING id;

Checking Replication and Backup Status

Check replication lag and backup results.


postgres=# SELECT * FROM pg_stat_wal_receiver;
$ pg_dump mydb | gzip > /backup/mydb.sql.gz

Advantages and Limitations

Advantages

  • Free and open source (permissive license), free for commercial use and redistribution
  • Enterprise-grade features such as ACID and MVCC included by default
  • Rich extension ecosystem (JSON, GIS, full-text search, etc.)
  • Standards-compliant SQL makes portability and hiring easier

Points to Consider Before Use

  • Requires learning initial configuration and tuning (shared buffers, WAL, connection pooling).
  • Horizontal scaling requires separate design (replication, partitioning) rather than large-scale vertical scaling.
  • If recovery procedures are not tested, there is a risk of data loss during an outage.

Comparison with Similar Programs

ProgramFeaturesSuitable when
MySQL / MariaDBWidely used web-centric RDBMSWeb transactions and fast read-centric workloads
SQLiteEmbedded, single-file DBserverless in-app storage
OracleEnterprise commercial DBEnvironments requiring large-scale commercial support

Official Resources and Further Learning

Version and supported environment information is based on official site values confirmed on 2026-10-18. Installation commands may vary depending on your distribution and version, so also check the official installation documentation.

Actual Execution Screen

Below is a synthetic example screen created to help understand the usage flow (not an actual execution result). The screen is a synthetic example and not an actual execution result.

!PostgreSQL example: version and recovery status check query

Actual production server


Source (HTML): https://games.aidebatehub.com/programs/apps/databases/postgresql.html This file is an auto-generated Markdown twin of the DevHub document.

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