Normalized comparison

MySQL vs PostgreSQL Engine Limits

Both engines make connection capacity configurable and have storage-layout constraints; defaults and theoretical limits should never be treated as managed-provider guarantees.

Verified Aug 22, 2026MySQLPostgreSQL
Values are comparable only within the scope shown. Runtime, plan, model, invocation mode, and account-specific capacity can change the effective result.

Quick comparison

CriterionMySQLPostgreSQLComparability note
Configured connectionsMySQL151 default; configurable 1–100,000MySQL 8.4 serverOraclePostgreSQLConfigured per server; typically 100 by defaultPostgreSQL 18PostgreSQL Global Development GroupMySQL documents a 151 default; PostgreSQL commonly defaults near 100 but configuration and environment decide both.
Row/field constraintsMySQL65,535 bytesMySQL 8.4OraclePostgreSQL1 GBPostgreSQL 18PostgreSQL Global Development GroupMySQL's inline row representation and PostgreSQL's field size are not directly equivalent.

Which is best for your requirement?

Choose MySQL when

Its documented configured connections scope fits your measured workload and the caveats shown in the comparison.

Choose PostgreSQL when

Its documented execution or account model better matches the exact requirement rather than a vendor-wide headline.

Validate before migration

Test payload, duration, throughput, concurrency, failure behavior, billing scope, and recovery with representative traffic.

Validate the decision with your workload

Before choosing between MySQL and PostgreSQL, reproduce the comparison with the exact plans, models, regions, runtimes, and invocation paths you intend to operate. The reviewed rows cover configured connections and row/field constraints; they do not turn different pricing, reliability, developer experience, or ecosystem tradeoffs into one universal score.

  1. Capture representative request sizes, token usage, duration, concurrency, storage, and failure behavior at realistic percentiles.
  2. Test the boundary and the recovery path on both candidates, including throttling, timeouts, partial failure, retries, and cost controls.
  3. Record which scoped observation drove the choice and recheck its official source before migration or a major traffic increase.

Official sources

Related

Inspect the underlying limits