• Fundamentals
    • SQL databases organize structured data efficiently for retrieval and analysis
    • They ensure ACID compliance and use relational models
    • Users interact through SQL statements for data manipulation
    Main Databases
    • MySQL offers simplicity and scalability with extensive community support
    • PostgreSQL provides advanced features and robust scalability
    • Microsoft SQL Server integrates tightly with Microsoft products
    • MariaDB serves as MySQL drop-in replacement with improved performance
    • Oracle Database excels in scalability and security for enterprise use
    • SQLite is lightweight for mobile and embedded applications
    • Amazon Redshift specializes in cloud-based analytics workloads
    • SAP HANA offers in-memory computing for real-time analytics
    • IBM Db2 provides strong stability and XML support
    • CockroachDB focuses on horizontal scalability and fault tolerance
    Selection Factors
    • Project size and scope determine database choice
    • Budget influences open-source vs commercial options
    • Performance needs and technical expertise matter
    • Security requirements and existing infrastructure should be considered

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