Search engine software makes the process of retrieving relevant information much easier by allowing users to search for information with natural language text. However, search engines also apply smaller-scale full-text search software, such as those for online publishing, interactive catalogs, classified advertising, digital asset management, intelligence and web searching. If you ask the average person about search engines, he or she will think of Google and Bing as examples. While databases can store and retrieve a vast amount of structured data, search engines can search unstructured text. Each technology relies on different paradigms to organize and retrieve information. Databases and search engines are both capable of search for data and handling queries. If a database is like a rolodex, then search engines are more like the index of a book-except that it’s a collection of every index for every book you have.
Users with access can then add, update, find, sort, or retrieve data as needed. This database is accessed and managed by specific users through a database management system (DBMS). In this scenario, information is recorded on sheets of paper, possibly organized in folders, and stored in a single place where people with access can go and retrieve that information when necessary.Īn electronic database operates largely the same way, except all this data is structured to ease of organization and information retrieval.
#PDF SEARCH DATABASE MANUAL#
As an example, a manual version of a database would be like a rolodex with specific fields of information.
In short, a database is a collection of information that is organized and stored to be accessed for later use. Here’s a quick rundown on the differences between a database and a search engine. For the average user, this may not be something they ever consider, but some clarity is beneficial for any business trying to solve any search challenges. The lines between a database and a search engine aren’t always clear.
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