PostgreSQL vs MySQL — which is better?

PostgreSQL is more feature-rich with better SQL compliance, advanced types, and extensibility. MySQL is simpler and faster for basic read-heavy workloads. We recommend PostgreSQL for new projects.

Yes. PostgreSQL is free and open-source with no licensing costs, no feature limitations, and no vendor lock-in. Managed hosting is available from many providers.

Can PostgreSQL handle large datasets?

Yes. PostgreSQL handles databases of several terabytes routinely. With partitioning, indexing, and read replicas, it scales to petabyte-level workloads.

Where do you host PostgreSQL?

We typically use Supabase for managed PostgreSQL with built-in backups, monitoring, and connection pooling. For AWS deployments, we use Amazon RDS PostgreSQL.

Romanian Company

European Union

Payments by

Databases

PostgreSQL Development

The world's most advanced open-source relational database.

Talk To Us See Services

What is PostgreSQL?

PostgreSQL is the most advanced open-source relational database system, known for its reliability, robustness, and extensibility. It supports advanced data types (JSON, arrays, hstore), full-text search, geographic queries (PostGIS), and transactional DDL — features that make it suitable for virtually any data modeling requirement.

PostgreSQL's MVCC (Multi-Version Concurrency Control) provides excellent concurrent access performance without read locks. Its write-ahead logging ensures data integrity even in crash scenarios, and its replication capabilities support high-availability deployments.

Used by Apple, Instagram, Spotify, Netflix, and Reddit, PostgreSQL handles workloads from small applications to petabyte-scale data warehouses. Its extension system (PostGIS, TimescaleDB, pgvector) adds specialized capabilities without replacing the core database.

Why GRADAX uses PostgreSQL

PostgreSQL is our default database for all projects. Its reliability, SQL compliance, and advanced features (JSONB, full-text search, CTEs) provide the foundation for complex data models without needing specialized databases.

We typically access PostgreSQL through Supabase for the managed infrastructure and real-time capabilities, but PostgreSQL's portability means clients can move to any hosting provider without migration headaches.

Common use cases

Here is how businesses use this technology to solve real problems.

Transactional web application databases

Complex data models with relationships

Full-text search and content indexing

Geographic data with PostGIS

JSON document storage with JSONB

Analytics and reporting databases

Key features

The capabilities that make this technology stand out.

Advanced Data Types

JSONB, arrays, ranges, enums, and custom types for modeling any data structure natively.

Full-Text Search

Built-in full-text search with ranking, stemming, and language support — no external search engine needed.

ACID Compliance

Full transaction support with serializable isolation for data integrity in critical applications.

Extensions

PostGIS for geospatial, TimescaleDB for time-series, pgvector for AI embeddings — extend without replacing.

Related services

GRADAX services that leverage this technology.

Web Applications

Related technologies

Other technologies in our stack that work well together.

Supabase

Open-source Firebase alternative with PostgreSQL at its core.

Node.js

Server-side JavaScript runtime for scalable network applications.

Docker

Container platform for building, shipping, and running applications.

Python

Versatile programming language for web, data, and AI applications.

PostgreSQL — Frequently asked questions

Common questions about this technology and how we use it.

Ready to build with PostgreSQL?

Tell us about your project and we'll show you how we can help.

Get a Free Quote Talk To Us