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Databases are optimized to search for exact words and phrases, and they tend to respond very slowly otherwise. So if a searcher wants to find "sheepskin" or "shearling" in the same search, databases will tend to do two searches and then merge the results. Full text indexes are designed to store these words together, so a search engine can perform these kinds of searches efficiently and return quickly. In addition to the time, searching databases requires additional back-end and server resources. By storing a search index on a separate server and searching that rather than the live data, a text search engine can perform queries without additional demands on the database itself.



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