What is PostgreSQL? Advantages & Disadvantages

By : Juniper Willow Juniper Willow
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⚡ Smart Summary

PostgreSQL is an enterprise-class, open-source database management system that supports both SQL relational and JSON non-relational queries. It offers advanced data types, strong ACID compliance, and performance features once found only in expensive commercial databases such as Oracle.

  • 🐘 Open-Source DBMS: PostgreSQL is a free, enterprise-class system released under its own permissive PostgreSQL License.
  • 📜 Proven History: Created by Michael Stonebraker in 1986, it evolved from INGRES into a widely used open-source database.
  • ⚙️ Rich Features: It offers ACID compliance, multi-version concurrency control, JSON support, and client-server replication.
  • ✅ Key Advantages: It is fault-tolerant, standards-compliant, low-maintenance, and supports geospatial data through PostGIS.
  • ⚠️ Known Limitations: It can be slower than MySQL for simple reads and has fewer supporting open-source applications.
  • 🏦 Wide Applications: It powers finance, government GIS, manufacturing, web technology, and scientific data systems.
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What is PostgreSQL?

PostgreSQL is an enterprise-class open source database management system. It supports both SQL and JSON for relational and non-relational queries for extensibility and SQL compliance. PostgreSQL supports advanced data types and performance optimization features, which are only available in expensive commercial databases, like Oracle and SQL Server. It is also known as Postgres.

Introduction to PostgreSQL
Introduction to PostgreSQL

It is backed by an experienced community of developers who have made tremendous contributions to make it a highly reliable DBMS system.

History of PostgreSQL

PostgreSQL (initially called Postgres) was created by a computer science professor Michael Stonebraker and his team. Today it has become one of the popular open-source databases.

Here is the brief history of PostgreSQL:

  • INGRES was developed-1977
  • Michael Stonebraker and his colleagues developed Postgres- 1986
  • Support for real ACID and PL/pgSQL – 1990
  • Released as Postgres95 in -1995
  • Re-released Postgres95 as PostgreSQL 6.0 – 1996
  • MVCC, GUC, Join syntax Controls and Procedural Language Loader added- 1998-2001
  • Version 7.2 to 8.2: Included features like Schema support, Nonblocking VACUUM, Roles and dblink – 2002-2006
  • PostgreSQL 8.4 released in 2009
  • PostgreSQL 9.0 released in 2010
  • NYCPUG (New York City PostgreSQL User Group) joins PgUS (United States PostgreSQL association)- 2013
  • PGconf organised-2014
  • PostgreSQL 9.4 released in 2014
  • PostgreSQL 9.5 released in 2016
  • PostgreSQL 9.6 released in 2016
  • PostgreSQL 10, the first release to use single-number versioning, released in 2017
  • PostgreSQL 11 released in 2018
  • PostgreSQL 12 released in 2019
  • PostgreSQL 13 released in 2020
  • PostgreSQL 14 released in 2021
  • PostgreSQL 15 released in 2022
  • PostgreSQL 16 released in 2023
  • PostgreSQL 17 released in 2024
  • PostgreSQL 18, featuring a new asynchronous I/O subsystem, released in 2025
  • PostgreSQL 19 entered beta in 2026 and is under active development

Features of PostgreSQL

Here are the key features of PostgreSQL:

  • Helps developers to build applications.
  • It allows administrators to build fault-tolerant environment by protecting data integrity.
  • Compatible with various platforms using all major languages and middleware.
  • It offers a most sophisticated locking mechanism.
  • Support for multi-version concurrency control.
  • Mature Server-Side Programming Functionality.
  • Compliant with the ANSI SQL standard.
  • Full support for client-server network architecture.
  • Log-based and trigger-based replication SSL.
  • Standby server and high availability.
  • Object-oriented and ANSI-SQL2008 compatible.
  • Support for JSON allows linking with other data stores like NoSQL which act as a federated hub for polyglot databases.

Advantages of PostgreSQL

Below are the main advantages/benefits of PostgreSQL:

  • PostgreSQL can run dynamic websites and web apps as a LAMP stack option.
  • PostgreSQL’s write-ahead logging makes it a highly fault-tolerant database.
  • PostgreSQL source code is freely available under an open source license. This allows you the freedom to use, modify, and implement it as per your business needs.
  • PostgreSQL supports geographic objects, so it can be used as a geospatial data store for location-based services and geographic information systems.
  • To learn Postgres, you do not need much training as its easy to use.
  • Low maintenance and administration for both embedded and enterprise use of PostgreSQL.

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Disadvantages of PostgreSQL

Below are the disadvantages/limitations of PostgreSQL:

  • Postgres is not owned by one organization. So, it has had trouble getting its name out there despite being fully featured and comparable to other DBMS systems
  • Changes made for speed improvement requires more work than MySQL as PostgreSQL focuses on compatibility
  • Many open source apps support MySQL, but may not support PostgreSQL
  • On performance metrics, it is slower than MySQL.

Applications of PostgreSQL

Following are the popular applications of PostgreSQL:

Financial Industry

PostgreSQL is an ideal DBMS system for the financial industry. Moreover, It is fully ACID compliant which makes it an ideal choice for OLTP (Online Transaction Processing). It is also capable of performing database analytics. It can be integrated with mathematical software like Matlab and R.

Government GIS data

PostGIS

PostGIS

PostgreSQL offers powerful GIS which is called “PostGIS”. This extension provides hundreds of functions to process geometric data in different formats. PostGIS is highly standard compliant. Moreover, by using both QGIS or GeoServer, the Open Source community provides the easiest method to handle Geodata.

Manufacturing

Nowadays, industrial manufacturers also using PostgreSQL to speed up their overall business process. It also helps them to optimize supply chain performance by using this open-source DBMS as storage backend. It allows companies to reduce the operation cost of their business.

Web technology and NoSQL

If your website requires to deal with hundreds or even thousands request per second at that time, scalability is a surely big issue. Here, Postgre proves the best solution.

PostgreSQL works fine with all modern web frameworks like Django, Node.js,

Hibernate, PHP, etc. It also offers replication capabilities which allow to scale out as many database servers as you want.

Scientific data

You need to generate terabytes of data if you are working on research and scientific project. Therefore, it is important to handle in the most efficient way as possible. For that, PostgreSQL offers wonderful analytical capabilities and powerful SQL engine. This helps you to manage a large amount of data with ease.

👉 Also learn How to Install PostgreSQL on Ubuntu

MySQL vs PostgreSQL

Below is the main difference between MySQL and PostgreSQL:

MYSQL PostgreSQL
The MySQL project has made its source code available under the terms of the GNU License, and other proprietary agreements. PostgreSQL is released under PostgreSQL License.
It’s now owned by Oracle Corporation and offers several paid editions. It’s free and open-source software.
That means you will never need to pay anything for this service.
MySQL is ACID compliant only when using with NDB and InnoDB Cluster Storage engines PostgreSQL is completely ACID compliant.
MySQL performs well in OLAP and OLTP systems where only read speed is important. PostgreSQL performance works best in systems which demand the execution of complex queries.
MySQL is reliable and works well with BI (Business Intelligence) applications, which are difficult to read PostgreSQL works well with BI applications. However, it is more suited for Data Warehousing and data analysis applications which need fast read-write speeds.

FAQs

PostgreSQL is primarily an object-relational database, but it also stores and queries non-relational data through JSON and JSONB columns. This lets a single database handle both structured tables and flexible document-style data.

PostgreSQL is written mainly in the C language. It also supports server-side procedural languages such as PL/pgSQL, PL/Python, and PL/Perl, which let developers write stored procedures and functions inside the database.

Yes. PostgreSQL is released under the permissive PostgreSQL License, so you can use, modify, and distribute it in commercial products at no cost and without paying license fees.

PostgreSQL supports AI workloads through the pgvector extension, which stores embeddings and performs similarity search. This lets teams build recommendation and semantic-search features directly on their existing PostgreSQL database.

Yes. AI tools can turn plain-language requests into SQL, explain existing queries, and suggest indexes or optimizations. Developers should still test the generated queries for correctness and performance before production use.

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