Dynatrace has expanded its analytics capabilities with the introduction of Grail™, a causational data lakehouse that unifies observability, security, and business data, offering instant answers through its massive parallel processing capabilities. Building on this, the platform now supports additional data types and graph analytics, enabling its AI engine, Davis®, to provide deeper insights and more flexible data analysis. New features include Metrics on Grail, designed to manage extensive metrics with high cardinalities, and Traces on Grail, which enhance trace analytics for complex cloud-native architectures. The integration of Smartscape for DQL retains data context, allowing for comprehensive and precise analytics across various data types. Alongside these technical advancements, Dynatrace has redesigned its user interface with Strato, focusing on a user-centric design that democratizes data access and interaction. This includes the introduction of Dashboards and Notebooks, which simplify data visualization and exploration, fostering greater collaboration and empowering users to make data-driven decisions. These enhancements provide a robust framework for diverse use cases, such as improving customer satisfaction, optimizing cloud operations, and enhancing security measures, all while maintaining cost-effective, large-scale analytics with long retention times.