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Full-Text Search: What Is It And How It Works | MongoDB | MongoDB

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It's no secret that the amount of data generated globally is geometrically exploding. In fact, it's estimated that by the end of 2025, there will be 181 zettabytes of data in existence for the first time ever (for context, one zettabyte is equal to one sextillion bytes)! And, of those 181 zettabytes, 80% is anticipated to be unstructured data. (Source: K21Academy.com, 2023) However, this also highlights a significant issue for data users of all kinds. Unstructured data, specifically unstructured text data, can neither be housed in nor queried by traditional relational databases. Further, traditional queries, which only search for exact text matches, aren't very helpful in that the user often only knows the topics or key ideas they are searching for in the text data. The solution to this problem is full-text search. Full-text search enables users to access their unstructured text data in a way that is both intuitive and efficient while this data is stored optimally in nonrelational, No

It's no secret that the amount of data generated globally is geometrically exploding. In fact, it's estimated that by the end of 2025, there will be 181 zettabytes of data in existence for the first time ever (for context, one zettabyte is equal to one sextillion bytes)! And, of those 181 zettabytes, 80% is anticipated to be unstructured data . (Source: K21Academy.com , 2023) However, this also highlights a significant issue for data users of all kinds. Unstructured data, specifically unstructured text data, can neither be housed in nor queried by traditional relational databases. Further, tra

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