In real projects, various databases serve distinct purposes depending on data structure and scalability needs. Relational databases like MySQL and PostgreSQL are widely used for structured data, powering everything from e-commerce websites and content management systems to complex financial applications requiring high data integrity. For enterprise-level solutions, Oracle Database and Microsoft SQL Server are prevalent in large organizations for their robust features and scalability in areas like ERP and CRM. Conversely, NoSQL databases offer flexibility for diverse data models; for instance, MongoDB excels with document-oriented data in mobile apps and content platforms, while Redis is ideal for caching and real-time analytics due to its in-memory speed. Other examples include Cassandra for large-scale distributed data in IoT and social media, and Neo4j for managing complex relationships in graph databases like social networks and recommendation engines. More details: https://cas.rec.unicen.edu.ar/cas/login?gateway=true&service=https%3A%2F%2Fwww.epi-us.com