Glossary · Web & App Development
PostgreSQL
Overview
What Postgres is
Postgres, formally PostgreSQL, is a free, open-source relational database management system with more than 30 years of active development. It stores data in tables with defined relationships and is queried with SQL. Postgres is known for standards compliance, data integrity, and reliability, and it is fully ACID-compliant, meaning transactions are processed safely and consistently.
What sets it apart
Beyond standard tables, Postgres supports advanced data types and features: native JSON and JSONB for semi-structured data, full-text search, geospatial queries via PostGIS, and extensions like pgvector for AI similarity search. This versatility lets one database handle relational, document, and vector workloads, reducing the number of systems a team must run and maintain.
How an agency uses Postgres
Postgres is a default choice for backend development, full-stack builds, and app backends and APIs. Teams commonly pair it with Node.js or Python, add Redis for caching, and manage schema with an ORM like Prisma. Because pgvector turns Postgres into a vector store, it can also underpin RAG and AI features without adding a separate database.
Where we use it
Related Zen in Tech services
How our team puts PostgreSQL to work in real projects.
FAQ
PostgreSQL — common questions
PostgreSQL vs MySQL, which is better?
Both are excellent open-source relational databases. PostgreSQL offers more advanced features (JSON, full-text search, extensions, stricter standards compliance), while MySQL is prized for simplicity and speed on read-heavy sites. Postgres is often chosen for complex or data-rich applications.
Is PostgreSQL free?
Yes. PostgreSQL is completely free and open-source under a permissive license, with no licensing fees for any use, including commercial. You only pay for hosting or managed services if you choose them.
Is Postgres good for large applications?
Yes. Postgres scales to very large datasets and high-traffic workloads and is used by major companies. With proper indexing, replication, and tuning, it handles enterprise-scale demands reliably.
Need PostgreSQL done right?
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