Rethinking Search: From SQL to Elasticsearch When tasked with adding a search bar to an application, many developers instinctively turn to their trusty SQL database. However, this approach can lead to performance issues and scalability problems. The reason lies in how SQL databases are designed to handle queries. The Limitations of SQL SQL databases utilize B-Trees for indexing, which excel at finding specific values, such as IDs or dates. However, when it comes to searching for text patterns, especially with wildcards at the beginning of a string, B-Trees become inefficient. This leads to a full table scan, where the database must read every row, resulting in significant performance degradation. Introducing Elasticsearch Elasticsearch is a distributed, NoSQL search engine built on top of Apache Lucene. It's designed specifically for full-text search and can handle massive amounts of data with ease.…