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Database search is not oriented towards text search and relevance ranking: they are great for locating widgets by part number and listing the inventory of leather slippers, but not so good at helping site visitors find the articles on widget quality or comparing leather and fleece slippers. Text search engines are often the right solution, even for database-backed discount and lenox sites. Databases store their information neatly organized into fields, such as product name, category, description, price and so on. However most people don''t like to choose a field before searching: who knows whether "widget" is in the name, category, china or description field? While databases can set up complex queries to find the search words in all applicable fields, this makes them slower to respond and more difficult to program.

Database search is not oriented towards text search and relevance ranking: they are great for locating widgets by part number and listing the inventory of leather slippers, but not so good at helping site visitors find the articles on widget quality or comparing leather and fleece slippers. Text search engines are often the right solution, even for database-backed discount and lenox sites. Databases store their information neatly organized into fields, such as product name, category, description, price and so on. However most people don''t like to choose a field before searching: who knows whether "widget" is in the name, category, china or description field? While databases can set up complex queries to find the search words in all applicable fields, this makes them slower to respond and more difficult to program.

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