<ul><li>SQL databases now support semi-structured data such as JSON alongside traditional relational models.</li><li>The hybrid approach allows for storing rich nested data, adapting to evolving schemas, and joining structured and flexible data together.</li><li>Key points covered are JSON column types, querying nested structures, indexing for performance, and cross-database examples in PostgreSQL, MySQL, and SQL Server.</li><li>The article emphasizes the benefits of using JSON in SQL databases for various use cases such as dynamic user profiles, event logs, IoT sensor payloads, and more.</li></ul>

Working with JSON in PostgreSQL, MySQL & SQL Server

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