For most new systems in 2026, pick PostgreSQL: it has the richer SQL feature set, a deep extension ecosystem (PostGIS, pgvector, TimescaleDB and more) and the momentum, with 57.9% of developers in the 2026 Stack Overflow survey reporting they use it. Pick MySQL when you already run it well, when your workload is a read-heavy web application with simple queries, or when your team's operational tooling (Vitess, ProxySQL, Group Replication) is built around it. Both are fast, free and production-proven, so switching an existing system needs a measured reason.
PostgreSQL has pulled ahead. The 2026 Stack Overflow Developer Survey reports 57.9% of respondents using PostgreSQL against 35.1% for MySQL, and the 2025 survey noted PostgreSQL has ranked as both the most desired and most admired database since 2023. That matters in practice: new tools, ORMs, hosted platforms and AI frameworks tend to target Postgres first.
MySQL is far from fading. It still runs some of the largest web properties in the world, the WordPress and PHP ecosystem defaults to it, and Oracle has moved it to a clearer LTS and Innovation release model, where LTS series get five years of premier support and three of extended support. Starting with 26.7, MySQL Innovation releases use calendar version numbers, so do not read "26" as a giant leap from 9.7.
For primary-key lookups and simple indexed queries, both are very fast and the difference is rarely visible in an application. MySQL with InnoDB has a long reputation for read-heavy web traffic, partly because its clustered primary-key storage makes primary-key range scans efficient, and its thread-per-connection model handles many connections with less memory than Postgres' process-per-connection design. In Postgres, put a pooler such as PgBouncer in front from day one.
Postgres' planner handles complex joins, subqueries, CTEs and analytical window queries well, and features like partial indexes, expression indexes, BRIN indexes for append-only data and parallel query execution give you more ways to make hard queries fast. Teams that run reporting queries against their OLTP database usually find Postgres more forgiving.
PostgreSQL 18 introduced an asynchronous I/O subsystem that lets the server issue multiple reads concurrently instead of relying only on OS readahead, along with a built-in uuidv7() function that indexes better than random UUIDs, virtual generated columns and OAuth 2.0 authentication. MySQL's 8.4 and 9.x lines focused on stability, replication and operational improvements. For both, upgrading to a current version is often the cheapest performance work you can do.
Postgres' MVCC writes new row versions and relies on VACUUM to clean up, so update-heavy tables need autovacuum tuning and monitoring for bloat. MySQL's InnoDB updates in place with undo logs, which avoids table bloat but has its own purge and history-length issues. Neither is "faster at writes" in general; both need someone who understands the engine when load climbs.
Both community editions are free. Cost comes from the hosting model and the people:
SQL fundamentals transfer, but engine depth does not. A senior Postgres engineer knows the planner and EXPLAIN ANALYZE, autovacuum, connection pooling, logical replication and the extension ecosystem. A senior MySQL engineer knows InnoDB internals, replication topologies, online schema change tools (gh-ost, pt-online-schema-change) and often Vitess. Because Postgres usage is higher in current surveys, it is easier to find developers who have used it, but genuinely senior database engineers are scarce for both. Our SQL interview questions cover the shared ground, and you can hire SQL developers or back-end developers with the engine experience you run.
Ryz Labs engineers work on your team on US business hours, in your repos and on-call rotation. Only the top 1% of the tens of thousands of engineers we interview make it, and Fortune 500 engineering teams trust us with core systems. Our back-end engineers design schemas, tune queries, run migrations and build services on both engines through our API development and legacy application modernization services. If your Postgres database is about to power retrieval for an AI system, our AI pod teams build that system in your cloud alongside your engineers.
Typical cost is $7,000 to $15,000 per engineer per month by seniority, and you get a plan, a price and the names of the people before you start. If all you need is a few hours of DBA advice, a freelance marketplace is a better fit than a team.
It depends on the workload. MySQL is very efficient for simple, read-heavy primary-key access, while PostgreSQL usually handles complex joins, analytical queries and advanced indexing better. For most applications, schema design, indexing and connection pooling matter far more than the engine.
PostgreSQL. The 2026 Stack Overflow Developer Survey reports 57.9% of respondents using PostgreSQL and 35.1% using MySQL. MySQL still runs a very large installed base, especially in PHP and established web platforms.
PostgreSQL is usually the better default because pgvector lets you store embeddings alongside relational data, with transactions and access controls in one place. Very large vector workloads may still justify a dedicated vector database.
Starting with MySQL 26.7 in July 2026, Innovation releases use calendar versioning by year and month. MySQL 8.4 and 9.7 remain the LTS series, and the version number alone does not tell you whether a release is LTS or Innovation.
The data move is the easy part with tools like pgloader or AWS DMS. The work is in translating types and collations, fixing queries that relied on MySQL's permissive behavior and testing with real traffic. Budget for parallel running before cutover.
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