Is PostgreSQL harder to learn than MySQL?

The SQL syntax is nearly identical for basic operations. If you can write SELECT, INSERT, UPDATE, and DELETE in MySQL, you can do the same in PostgreSQL. The differences appear in advanced features like window functions, CTEs, and JSON queries, where PostgreSQL offers more but also requires learning more.

Can I migrate from MySQL to PostgreSQL later?

Yes, but it is not trivial. Schema migration tools like pgloader can automate most of the work. The main challenges are MySQL-specific syntax in your application code, data type differences (MySQL TINYINT vs PostgreSQL BOOLEAN), and any stored procedures. Migrating early in a project is much easier than migrating later.

MariaDB is a fork of MySQL that maintains compatibility with MySQL while adding some features. For most practical purposes, MariaDB and MySQL are interchangeable. If you are choosing between MariaDB and PostgreSQL, the same guidance applies: PostgreSQL for new projects, MariaDB/MySQL for WordPress and PHP stacks.

PostgreSQL vs MySQL: Which Database for Your Project

The quick decision

For most developers starting a new project, pick PostgreSQL. Here are the specific cases where each database is the better choice:

New web application (any framework): PostgreSQL
Application with AI/ML features needing vector search: PostgreSQL (pgvector)
WordPress site: MySQL (WordPress only supports MySQL/MariaDB)
Existing PHP codebase on shared hosting: MySQL (better hosting support)
Simple CRUD application: Either works. Pick whichever your team knows.
Complex reporting and analytics queries: PostgreSQL (better query planner)

Where PostgreSQL pulls ahead

Standards compliance: PostgreSQL follows the SQL standard more closely than MySQL. This means fewer surprises when you write complex queries. Subqueries, window functions, CTEs (common table expressions), and lateral joins all work as documented.

JSON support: PostgreSQL has native jsonb columns that you can index and query efficiently. You can store semi-structured data alongside relational data without a separate document database. MySQL has JSON support too, but PostgreSQL's is more mature and faster for complex queries.

pgvector for AI projects: This is a major differentiator in 2026. The pgvector extension lets you store and search vector embeddings directly in PostgreSQL. If your application uses AI features like semantic search, recommendation engines, or retrieval-augmented generation (RAG), you can keep everything in one database instead of adding a separate vector database.

-- Store and search embeddings in PostgreSQL
CREATE EXTENSION vector;

CREATE TABLE documents (
  id serial PRIMARY KEY,
  content text,
  embedding vector(1536)
);

-- Find similar documents
SELECT content, embedding <=> '[0.1, 0.2, ...]' AS distance
FROM documents
ORDER BY embedding <=> '[0.1, 0.2, ...]'
LIMIT 5;

Advanced data types: Arrays, ranges, network addresses, geometric types, and custom types are built in. MySQL has none of these.

Full-text search: PostgreSQL has built-in full-text search that is good enough for most applications without adding Elasticsearch. MySQL has full-text search too, but PostgreSQL's supports ranking, stemming, and multiple languages more effectively.

Where MySQL still fits

WordPress and PHP ecosystem: WordPress, the most widely used CMS in the world, runs on MySQL. If you are building or managing WordPress sites, MySQL is not optional.

Shared hosting: Nearly every shared hosting provider includes MySQL. PostgreSQL support on cheap hosting is less common, especially in the East African market. If you are deploying to shared hosting (common for client projects at Kenyan agencies), MySQL may be your only option.

Simplicity for basic CRUD: For applications that do straightforward create, read, update, and delete operations without complex queries, MySQL is slightly easier to set up and manage. The configuration is simpler and the tooling (phpMyAdmin, MySQL Workbench) is familiar to more developers.

Replication: MySQL's replication setup is battle-tested and well-documented. PostgreSQL's replication has improved significantly but MySQL still has an edge in operational simplicity for read replicas.

Managed database services

If you are using a managed database service (and you should for production), both databases are available everywhere:

PostgreSQL: Supabase, Neon, Railway, AWS RDS, Google Cloud SQL, Azure Database
MySQL: PlanetScale, AWS RDS, Google Cloud SQL, Azure Database

Supabase and Neon have made PostgreSQL particularly accessible for new projects. Supabase gives you a PostgreSQL database with a REST API, authentication, and storage. Neon offers serverless PostgreSQL with branching (like Git branches for your database). Both have generous free tiers.

For MySQL, PlanetScale was a popular serverless option but has moved to paid-only plans. Most MySQL users now go directly to AWS RDS or managed hosting.

Bottom line

PostgreSQL is the stronger choice for new projects. It handles a wider range of use cases, has better support for modern features like JSON and vector search, and is the default database for most modern frameworks and platforms.

MySQL is the right choice when your stack requires it (WordPress, legacy PHP) or when your hosting environment limits you to it. There is no shame in using MySQL. It powers a massive percentage of the web and will continue to do so.

Do not overthink this decision. Both databases are reliable, well-documented, and supported by every major hosting provider. The difference in your application's success will come from what you build, not which SQL database you store it in.