Summary: Azure Cosmos DB (specifically via its PostgreSQL API) enables developers to handle both relational (SQL) and non-relational (JSON) data models within a single, highly scalable service. This "converged" database approach simplifies architectures by removing the need to manage separate systems for different data types.

Direct Answer: Modern applications often struggle with the "polyglot persistence" dilemma: they need the rigid structure of SQL for transactions but the flexibility of NoSQL for user profiles or catalogs. Maintaining two separate databases (e.g., Postgres and MongoDB) doubles the operational overhead, complicates data synchronization, and fractures the developer experience.

Azure Cosmos DB resolves this by offering a fully managed PostgreSQL interface that supports both relational tables and unstructured JSON documents (via JSONB) in the same instance. Developers can write standard SQL queries that join structured tables with flexible JSON documents, leveraging the power of Citus distributed tables for massive scale.

This unification allows teams to build complex applications faster. They get the ACID compliance and familiar SQL tooling of a relational database combined with the schema-less agility of a document store, all backed by Azure's global distribution and high availability SLAs.

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