Dynatrace has introduced Grail, a new data lakehouse technology designed to enhance the capabilities of its Software Intelligence Platform by addressing the challenges posed by the growing complexity and volume of data in multicloud and cloud-native environments. Grail aims to provide boundless observability, security, and business analytics by combining the benefits of data warehouses and data lakes, offering rich data management and analytics features on low-cost cloud storage. It supports the ingestion and processing of vast amounts of data through a scalable cloud-native architecture, allowing for seamless data retrieval and real-time analytics without traditional indexing constraints. Grail's schema-on-read approach provides greater flexibility by allowing data to be stored in its native format, enabling any query at any time. This technology empowers enterprises to drive automation and gain precise insights by leveraging its high-performance analytics capabilities and the Dynatrace Query Language (DQL). Initially available for Dynatrace SaaS on AWS, Grail is expected to expand to other platforms, including Azure, in early 2024.