Database choice is one of those decisions that feels technical but has real business consequences down the line: what features you can build easily, how much operational overhead your team carries, and how painful scaling becomes. Here is the framework we actually use when advising clients in 2026.
Why PostgreSQL Has Become the Default for New Projects
For greenfield projects in 2026, Postgres has real momentum: native JSONB support for semi-structured data, a mature extension ecosystem (including pg_vector for AI and embedding workloads), and stronger standards compliance. If you are starting from scratch and have no strong reason to pick otherwise, Postgres is the sound default.
Where MySQL Still Wins
- Small teams without a dedicated DBA. MySQL replication is simpler to set up, better documented, and easier to troubleshoot without specialized database expertise on staff.
- Read-heavy, simple-schema workloads. Straightforward relational data with high read volume and simple queries runs well on MySQL without needing Postgres's more advanced features.
- Existing tooling and team familiarity. If your team already knows MySQL deeply and your application has no concrete feature that requires Postgres-specific capabilities, switching purely on theoretical preference is rarely worth the disruption.
The Migration Question Most Businesses Get Wrong
We see this constantly: a team reads that "Postgres is better" and wants to migrate an existing, working MySQL application. In most cases this fails a basic cost-benefit test. Database choice matters less than schema design, indexing strategy, and query optimization. Before recommending a migration, we look for a concrete pain point: do you actually need JSONB, are you hitting a real limitation Postgres solves, or is this purely preference? If there is no concrete pain point, the engineering hours are almost always better spent optimizing the database you already have.
What Migration Actually Involves
When a migration is genuinely warranted, the data transfer itself is rarely the hard part, small databases can move in hours using tools like pgloader. The real cost is application-layer testing: SQL syntax differences, data type conversions, and confirming every query still behaves correctly against the new engine. We scope this explicitly as its own phase rather than letting it become a hidden cost.
Our Decision Framework
For new projects: Postgres by default, unless your team has deep MySQL operational expertise and no AI, vector, or complex JSON requirements on the roadmap. For existing applications: optimize first, migrate only when a specific, named limitation justifies the engineering cost.
Not Sure Which Fits Your Project?
We help clients make this call as part of every new build, and we audit existing databases to tell you honestly whether a migration would actually pay off. Talk to us or see our approach on the database solutions page.