PostgreSQL

Team of Members:

- Baca Romero Rodrigo Miguel

-Sanchez Ornelas Jasmin

-Virrueta Cano Luis Alexis 

INTRODUCTION TO 

POSTGRESQL

What is PostgreSQL?

PostgreSQL is a free, open-source object-relational database system. It supports complex queries, custom data types, and SQL standards. Compatible with Windows, Linux, and macOS. Used in modern applications across industries.

IMPORTANT  KEY  FEATURES

  • ACID-compliant transactions

  • MVCC for concurrency

  • JSON, XML, and geospatial support

  • Advanced indexing (B-tree, GIN, GiST)

  • Extensible with custom functions

  • Secure and cross-platform

Costs

PostgreSQL is free; enterprise environments may involve costs. For example: 

 

Local (self-managed)

  • $0 USD - Free, self-hosted

Azure PostgreSQL

  • From $12 USD - Scalable, managed

Enterprise support

  • From $7,600 USD - Customization and assistance  

Advantages

  • Free and open-source

  • Scalable and reliable 

  • Compatible with multiple systems 
  • Active community and many extensions

Disadvantages

  • Can be slow on small databases  

  • No official technical support  

  • Advanced syntax for beginners

Examples of use:

  • Spotify has used PostgreSQL to manage user data and playlists.

  • Skype integrated it into its messaging and authentication systems.

  • Debian includes it as a recommended database in its operating system.

Use Cases

  • Web platforms (e-commerce, CMS)

  • Financial systems (banking, payments)

  • GIS and mapping (PostGIS)

  • IoT and Big Data analytics

  • Government and research databases

Who Uses PostgreSQL?

  • Netflix – scalable video infrastructure

  • Instagram – user and media data

  • Spotify – music metadata and analytics

  • NASA - uses it to  store scientific

  • APPLE- has used postgreSQL in internal analytics systems 

  • IMSS- could use it to manage medical records and appointments

Conclusion

PostgreSQL is powerful, secure, and flexible. Its open-source nature makes it ideal for developers, analysts, and organizations. Reliable for high-volume, mission-critical data systems.

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