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MySQL vs PostgreSQL: which database should your project use?

A balanced comparison of MySQL and PostgreSQL based on application requirements, operations, team experience and long-term ownership.

Published 3 September 2026 · Updated 3 September 2026

MySQL and PostgreSQL are capable open-source relational databases. Choosing between them should follow the product’s data and operational requirements rather than a generic claim that one is always faster or more advanced.

Start with the required data behaviour

Define relationships, transaction needs, reporting, search, geographical queries and likely data volume. PostgreSQL offers particularly rich SQL and extension capabilities, while MySQL provides a familiar, well-supported route for many conventional web workloads.

Consider the existing environment

A team that already operates MySQL reliably may gain little from changing for ordinary CRUD functionality. Existing hosting, monitoring, backup processes and developer knowledge affect delivery risk and ongoing cost.

Both can support serious applications

Performance depends heavily on schema design, indexes, query patterns and infrastructure. A poorly designed database will remain poor regardless of its badge, while a measured and maintained implementation of either platform can scale well.

Think about future requirements without inventing them

Complex analytics, specialised data types or geographic operations may influence the decision. Hypothetical scale should not force unnecessary complexity into a product whose immediate challenge is proving customer demand.

Migration is possible but not free

Framework abstractions make common queries portable, but SQL details, data types and operational procedures still differ. Switching later requires data validation, performance testing and a controlled cutover.

Compare our MySQL and PostgreSQL capabilities, or ask our development team to assess the project.

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