Introduction to Elasticsearch: Create, Update, Delete and Search Documents 🔍
Relational databases are a little rigid. They are indeed robust, but this robustness comes with a price. Sometimes your solution requires a rather flexible set of data. Which is where NoSQL databases come in place. And document databases are a type of NoSQL databases. Unlike traditional relational databases that store data in fixed rows and columns, document databases use flexible documents. These documents are typically stored in a JSON -like format, which is both human-readable and machine-friendly. Developers can directly create and update these documents from their code, making application development more rapid and efficient. Some of the most popular document databases are Amazon DynamoDB , MongoDB , Google Firebase and others. But what really gives Elasticsearch an edge is that it excels as a search engine optimized for fast, complex search queries, especially text searches. It’s commonly used for analyzing log and event data. Elasticsearch ’s true strength lies no...