The blog post introduces Elasticsearch SQL, a new feature in the Elastic Stack 6.3 release, which allows users to query Elasticsearch using SQL syntax. This addition aims to make Elasticsearch more accessible, especially for new users and data consumers familiar with SQL, by providing a read-only interface compliant with a subset of the ANSI SQL specification. The post discusses the challenges of integrating SQL with Elasticsearch's document-oriented model and highlights the benefits of using SQL for structured analytics, contrasting it with Elasticsearch's native Domain Specific Language (DSL) for full-text search. Although SQL cannot transform Elasticsearch into a fully relational database, it leverages Elasticsearch's performance for data retrieval and manipulation. The implementation includes phases such as parsing, analyzing, optimizing, and executing queries, with support for JDBC connectivity. The post also explores the mapping of Elasticsearch concepts like indexes and documents to SQL tables and rows, and demonstrates how SQL queries can be translated into Elasticsearch DSL, offering an efficient way to utilize Elasticsearch's capabilities.