SQL LIKE vs Full Text Search
Developers should learn SQL LIKE when building applications that require search functionality, such as filtering user inputs, implementing autocomplete features, or querying logs and reports meets developers should learn full text search when building applications that involve large volumes of textual data, such as e-commerce sites, document repositories, or social media platforms, to provide users with quick and relevant search results. Here's our take.
SQL LIKE
Developers should learn SQL LIKE when building applications that require search functionality, such as filtering user inputs, implementing autocomplete features, or querying logs and reports
SQL LIKE
Nice PickDevelopers should learn SQL LIKE when building applications that require search functionality, such as filtering user inputs, implementing autocomplete features, or querying logs and reports
Pros
- +It is particularly useful in scenarios where exact matches are not feasible, like searching for names with variations, product descriptions, or email addresses with common domains
- +Related to: sql, regular-expressions
Cons
- -Specific tradeoffs depend on your use case
Full Text Search
Developers should learn Full Text Search when building applications that involve large volumes of textual data, such as e-commerce sites, document repositories, or social media platforms, to provide users with quick and relevant search results
Pros
- +It is essential for implementing advanced search functionalities like autocomplete, fuzzy matching, and relevance scoring, improving user experience and data accessibility
- +Related to: elasticsearch, apache-solr
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use SQL LIKE if: You want it is particularly useful in scenarios where exact matches are not feasible, like searching for names with variations, product descriptions, or email addresses with common domains and can live with specific tradeoffs depend on your use case.
Use Full Text Search if: You prioritize it is essential for implementing advanced search functionalities like autocomplete, fuzzy matching, and relevance scoring, improving user experience and data accessibility over what SQL LIKE offers.
Developers should learn SQL LIKE when building applications that require search functionality, such as filtering user inputs, implementing autocomplete features, or querying logs and reports
Disagree with our pick? nice@nicepick.dev