Deductive databases are structured to use formal logic for data queries, allowing the database to “infer” answers by combining facts and rules. This logic-based approach is beneficial for expert systems, AI applications, and other domains requiring high-level inference. Deductive databases enhance the ability to process rule-based queries, enabling more dynamic data handling.

Key attributes include:

• Use of rules for data inference.
• Support for complex logic queries.
• Application in systems requiring advanced data inference capabilities.

MCA students studying deductive databases can gain skills applicable in artificial intelligence and areas requiring intricate data analysis.