Microsoft Compares PostgreSQL and Azure SQL Tools

A new technical guide highlights key diagnostic differences for database developers.

Updated on Oct. 28, 2026 in Software

Isometric editorial illustration showing two crystalline data monoliths connected by a floating light filament, representing database system diagnostics. — Microsoft has published a new technical comparison to aid developers in mapping PostgreSQL diagnostic tools to Azure SQL database capabilities. AI Illustration. Upload story photo >

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Microsoft has released a technical comparison contrasting PostgreSQL 18 system views with diagnostic capabilities in Azure SQL Database and Managed Instance. The guidance is designed to assist developers evaluating a transition between these database platforms.

Why it matters

Understanding how diagnostic tools map between systems is critical for developers tasked with maintaining performance when migrating enterprise database environments. This comparison simplifies the analysis of running queries and memory management across different architectures.

The documentation compares PostgreSQL 18 features like pg_stat_activity and EXPLAIN ANALYZE against Azure SQL diagnostics, including wait statistics, memory grant analysis, and deadlock detection through Extended Events.

The players

Microsoft

A multinational technology corporation that develops the Azure SQL database platform and associated enterprise software.

The details

The resource details how developers can transition their workflows by identifying equivalent monitoring methods within Azure SQL platforms. It specifically targets the inspection of memory grants and deadlocks to ensure query performance consistency.

October 28, 2026: Microsoft published the technical comparison article.

The Tech Race

By providing clear migration pathways from PostgreSQL 18, Microsoft is lowering the technical barrier to entry for developers currently embedded in open-source database ecosystems. This effort directly challenges the dominance of open-source standards by facilitating shifts toward integrated cloud-native database services.

Database administrators and developers can now use this guide to streamline their troubleshooting routines during platform migrations. It allows teams to quickly adapt their query analysis methods without needing to relearn diagnostic processes from scratch.

The takeaway

Developers should prioritize auditing their existing query diagnostic scripts before initiating any platform migration to ensure compatibility with new environment metrics. Mapping specific tools like wait statistics early can prevent performance monitoring gaps during the transition process.