PostgreSQL
PostgreSQL is our go-to relational database when products need strong data integrity, advanced querying, and room to grow. It is a reliable foundation for transactional systems, APIs, analytics-heavy applications, and products where the data model matters.
Why we use it
- /Strong data integrity
- /Powerful querying
- /Powerful querying
- /Flexible without losing structure
- /Built for long-lived products
When we reach for it
- /Complex product backends
- /Data-heavy applications
- /AI and data products
- /Systems expected to scale
We start with the data model rather than treating the database as storage behind an ORM. Relationships, constraints, indexing, migrations, and access patterns are considered early so the schema reflects how the product actually works.
As the system grows, we focus on query performance, safe migrations, observability, backups, and infrastructure that keeps PostgreSQL reliable in production.
Common questions
What is PostgreSQL used for?+
PostgreSQL is a relational database used for applications that need reliable transactions, complex data models, advanced queries, and strong data integrity.
Is PostgreSQL suitable for SaaS products?+
Yes. It is a strong choice for SaaS platforms because it supports complex relational models while remaining flexible as products evolve.
Can PostgreSQL handle JSON data?+
Yes. PostgreSQL provides strong JSON and JSONB support, allowing structured relational data and flexible document-style data to coexist.
Can you optimize an existing PostgreSQL database?+
Yes. We can review schema design, queries, indexing, locks, migrations, and infrastructure to improve performance and reliability.
Do you manage PostgreSQL on AWS?+
Yes. We commonly deploy and operate PostgreSQL through services such as Amazon RDS.
PostgreSQL or MySQL, which should we choose?+
It depends on the workload and existing environment. We often prefer PostgreSQL for products with more complex data requirements, but either can be the right choice.