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B-tree index

/ˈbiː triː ˈɪndɛks/noun
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A B-tree index is a self-balancing tree data structure designed for storing and retrieving data efficiently in databases and file systems. It keeps data sorted and allows for fast insertions, deletions, and searches in logarithmic time, even with massive datasets, which is why it's a go-to for handling real-world applications like e-commerce searches. In modern usage, variations like B+ trees add extra layers for even better performance in disk-based storage.

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B-tree indexes are so powerful that they enable databases like those in banking systems to process over 10,000 transactions per second without slowing down, a capability that's been crucial for global finance since the 1980s. For example, the SQLite database, which uses a variant of B-trees, is embedded in billions of devices worldwide, from smartphones to cars, quietly managing data for everything from your apps to autonomous vehicles.

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