PostgreSQL Development
PostgreSQL is a powerful, open-source relational database known for reliability, correctness, and a rich feature set. It supports advanced data types, full-text search, JSON documents, and extensions like PostGIS and pgvector, making it far more than a plain SQL store.
At a glance
- Created by
- PostgreSQL Global Development Group
- First released
- 1996
- Language
- SQL / C
- Type
- Relational database
- License
- PostgreSQL License
What is PostgreSQL?
Postgres has become the default database choice for a huge range of applications — from startups to large enterprises — because it combines rock-solid ACID guarantees with the flexibility to handle relational, document, geospatial, and even vector/AI workloads in one system.
Why teams choose PostgreSQL
Rock-solid reliability with full ACID guarantees
Handles relational, JSON, geospatial, and vector data
Powerful extensions (PostGIS, pgvector, full-text search)
Excellent for complex queries and data integrity
Open-source with broad managed-hosting support
When to use PostgreSQL
- Applications that need reliable, structured data
- Products mixing relational and JSON document data
- AI apps using pgvector for embeddings and RAG
- Anything requiring complex queries and strong integrity
Things to consider
- Requires tuning and indexing for very large scale
- Horizontal write scaling needs extra tooling
- For simple caching, pair it with Redis
What we build with PostgreSQL
Application databases
The reliable core data store for web and SaaS products.
Analytics & reporting
Complex queries over structured business data.
AI / vector search
Storing and searching embeddings with pgvector for RAG.
Geospatial apps
Location features and mapping with the PostGIS extension.
Products & companies built with PostgreSQL
PostgreSQL is trusted in production by well-known companies, including:
PostgreSQL works well with
PostgreSQL — frequently asked questions
What is PostgreSQL used for?
PostgreSQL is used as the primary database for web and SaaS applications, analytics, geospatial systems, and increasingly AI apps. It reliably stores relational, JSON, geospatial, and vector data in one system.
PostgreSQL vs MySQL — which is better?
Both are excellent open-source relational databases. PostgreSQL is generally favoured for advanced features, complex queries, and strict data integrity, while MySQL is prized for simplicity and read-heavy workloads. Postgres is the more feature-rich, standards-compliant option.
Can PostgreSQL be used for AI applications?
Yes. With the pgvector extension, PostgreSQL stores and searches vector embeddings, making it a popular, cost-effective choice for retrieval-augmented generation (RAG) and semantic search without a separate vector database.
What companies use PostgreSQL?
PostgreSQL powers data at Apple, Instagram, Reddit, Spotify, Twitch, and Robinhood, among many others.
Building with PostgreSQL?
CodersArts Build ships production PostgreSQL projects on a fixed scope, price, and timeline — with full source-code ownership on handover.