Announcing Elastic’s piped query language, ES|QL
Blog post from Elastic
Elastic has introduced the Elasticsearch Query Language (ES|QL), a new piped query language designed to simplify and enhance data investigations by providing advanced search capabilities and concurrent processing, regardless of data source or structure. ES|QL offers a single, unified interface for transforming, enriching, aggregating, and visualizing data, thereby streamlining workflows for security, observability, and search tasks. The language is built from the ground up to be accessible for beginners while powerful for experts, improving speed and efficiency without the need for external systems for specialized processing. By integrating features such as autocomplete syntax, enriched context, and concurrent query handling, ES|QL facilitates quick issue resolution and detailed data analysis, benefiting Elastic's solutions like Security, Observability, and Search. The technical preview of ES|QL marks a significant evolution in Elasticsearch's capabilities, aiming to revolutionize data exploration and manipulation through a simplified, yet powerful, approach.