# Which relational databases are most trusted by software engineers for reliable production implementation based on user reviews?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Looking for input from G2 reviewers who are software engineers, backend developers, and full-stack developers in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/relational-databases">Relational Databases category</a>, specifically from those who have implemented a relational database as the primary data store for a production application.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The platforms with the strongest software engineer production reliability evidence:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/postgresql/reviews"><strong>PostgreSQL</strong></a>: The WAL-based crash recovery model is specifically credited for producing databases that recover to a consistent state after unexpected shutdowns rather than requiring manual repair or data loss assessment. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/mysql/reviews"><strong>MySQL</strong></a>: The depth of operational knowledge available from the community, the hosting ecosystem, and the breadth of managed services built around MySQL means that production issues are reliably diagnosable and recoverable without specialised database expertise. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/microsoft-sql-server/reviews"><strong>Microsoft SQL Server</strong></a>: The comprehensive SQL Server Agent for scheduled job management and the built-in monitoring through SQL Server Management Studio are credited for giving software engineers the production observability they need to identify issues before they become failures. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/amazon-rds/reviews"><strong>Amazon RDS</strong></a>: The automatic minor version patching and security updates remove the maintenance burden that software engineers running self-managed databases must schedule around active application traffic. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sqlite/reviews"><strong>SQLite</strong></a>: Software engineers credit the simplicity of the reliability model for embedded and edge applications where the absence of a separate database process to monitor and restart is the reliability advantage over server-based alternatives. </li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For software engineers who have operated a relational database in production for more than one year: what was the first production incident that was caused by database behaviour rather than application code, and was the root cause a schema design decision, a missing index, a configuration default, or a platform-specific behaviour you had not encountered in development?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 15 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Missing indexes would be the first database-specific production issue I’d expect to surface. A query that looks harmless against development data can behave very differently once tables reach production scale and concurrency increases. I’d want slow-query monitoring and execution-plan analysis in place early so performance degradation is caught before engineers start treating it as an application problem.&lt;/p&gt;

##### Comment Metadata
- Posted at: 13 days ago





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