Flat file databases have a simple structure, making them easy to create and understand. They are typically faster to access than relational databases since there are no complex relationships to navigate. Additionally, flat file databases are often more portable and can be easily transferred between different systems or applications. However, they may not be suitable for complex data relationships or large datasets due to their lack of normalization and potential for data redundancy.
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Flat file databases are simple to create and manage, requiring minimal resources. They offer easy data storage and retrieval, making them suitable for small projects. Their lightweight nature facilitates quick access, and they are portable, enabling easy sharing across different systems.
Database systems can be either referential, flat or heiarchial.
Database Approach vs. Traditional File ProcessingSelf contained nature of database systems (database contains both data and meta-data).Data Independence: application programs and queries are independent of how data is actually stored.Data sharing.Controlling redundancies and inconsistencies.Secure access to database; Restricting unauthorized access.Enforcing Integrity Constraints.Backup and Recovery from system crashes.Support for multiple-users and concurrent access.
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Advantages: • High performance • Large capacity • High availability • Incremental growth Disadvantages: • Complexity • Inability to recover from database corruption