Kibana 7.13 introduces enhanced capabilities for data exploration, offering users greater flexibility and speed in data analysis workflows through features such as the Kibana runtime fields editor, which allows for the creation, editing, and removal of runtime fields within Discover, Kibana Lens, and index patterns. The update also sees the general availability of Elastic Maps Server and supervised machine learning, enabling offline geodata analytics and advanced data modeling for complex queries. Kibana Lens, now the recommended tool for ad hoc analysis, facilitates intuitive data visualization and exploration, including pivot functionality for tables and metric-specific filters. Additionally, the release improves administrative functions with native alert data integration and a streamlined API key management interface, all aimed at optimizing workflows and enhancing the user experience. Users can explore these features through a free trial of Elasticsearch Service on Elastic Cloud or by downloading the latest Elastic Stack version.