What are the differences between B-trees and tries?
B-trees are balanced tree data structures used for storing sorted data, while tries are prefix trees used for storing strings.
Can you explain how B-trees handle data insertion?
B-trees maintain balance by splitting nodes when they exceed a certain number of keys, ensuring efficient insertion.
How do tries manage memory compared to B-trees?
Tries can use more memory due to storing pointers for each character, while B-trees are more space-efficient for large datasets.
Which data structure is better for autocomplete features?
Tries are generally better for autocomplete because they efficiently store and retrieve prefixes of strings.
Are there any scenarios where B-trees are preferred over tries?
Yes, B-trees are preferred in database systems for indexing large datasets due to their efficient disk access patterns.
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