PostgreSQL
PostgreSQL Introduction
Understand PostgreSQL, its strengths, and the concepts used in everyday database development.
What is PostgreSQL?
PostgreSQL is a free, open-source database system that supports relational SQL queries and non-relational JSON data. It stores structured data in tables while also supporting flexible document-style data through JSON and JSONB columns.
PostgreSQL is often used as the back-end database for dynamic websites, web applications, APIs, analytics systems, and business platforms that need reliable transactions and strong data integrity.
Supported programming languages
PostgreSQL can be used with many popular programming languages, including:
- Python
- Java
- C and C++
- C#
- Node.js
- Go
- Ruby
- Perl
- Tcl
PostgreSQL supports the important capabilities found in other database management systems, including tables, relationships, indexes, transactions, constraints, views, functions, and user access control.
PostgreSQL History
PostgreSQL was created in the Computer Science Department at the University of California, Berkeley. The project began in 1986 with the goal of creating a database system with the basic features needed to support multiple data types.
PostgreSQL originally ran on UNIX platforms. It now runs on many operating systems, including Windows and macOS, making it suitable for local development as well as production deployments.
Why use PostgreSQL?
- Reliable transactions: ACID behavior helps keep related changes consistent.
- Strong data integrity: Constraints protect relationships and valid values.
- Powerful SQL: Joins, common table expressions, window functions, and aggregates support complex queries.
- Extensibility: Extensions, custom types, functions, and operators support specialized workloads.
- Production-ready: Replication, backups, roles, indexes, and observability support real applications.
Core PostgreSQL concepts
| Concept | Purpose |
|---|---|
| Server | The PostgreSQL process that accepts connections and manages databases. |
| Database | A logical container for schemas and application data. |
| Schema | A namespace used to organize tables, views, functions, and other objects. |
| Table | A structured collection of rows and columns. |
| Role | A PostgreSQL identity used for authentication and authorization. |
| Transaction | A group of operations committed or rolled back as one unit. |
A basic PostgreSQL workflow
- Install PostgreSQL and start the server.
- Create a database and an application role.
- Design tables with keys, relationships, and constraints.
- Use SQL or a database client such as pgAdmin 4 to work with the data.
- Connect your Java or Spring Boot application using the PostgreSQL JDBC driver.
- Add backups, migrations, indexes, monitoring, and least-privilege access as the application grows.
Further Reading
Continue learning with these related tutorials:
- PostgreSQL Introduction
- PostgreSQL pgAdmin 4
- PostgreSQL Create Table
- PostgreSQL Insert Data
- PostgreSQL Select Data
- PostgreSQL ADD COLUMN
- PostgreSQL UPDATE
- PostgreSQL ALTER COLUMN
- PostgreSQL DROP COLUMN
- PostgreSQL DELETE
- PostgreSQL DROP TABLE
- PostgreSQL Operators
- PostgreSQL SELECT
- PostgreSQL SELECT DISTINCT
- PostgreSQL WHERE
- PostgreSQL ORDER BY
- PostgreSQL LIMIT
- PostgreSQL MIN and MAX
- PostgreSQL COUNT
- PostgreSQL SUM
- PostgreSQL AVG
- PostgreSQL LIKE
- PostgreSQL IN
- PostgreSQL BETWEEN
- PostgreSQL AS
- PostgreSQL Joins
- PostgreSQL INNER JOIN
- PostgreSQL LEFT JOIN
- PostgreSQL RIGHT JOIN
- PostgreSQL FULL JOIN
- PostgreSQL CROSS JOIN
- PostgreSQL UNION
- PostgreSQL GROUP BY
- PostgreSQL HAVING
- PostgreSQL EXISTS
- PostgreSQL ANY
- PostgreSQL ALL
- PostgreSQL CASE
Continue learning
