Overcome cloud complexity through instant, cost-efficient, AI-powered analytics for observability, security, and business data at any scale.
Boundless observability, security, and business analytics with context
Unify and contextually analyze your data with the only causal data lakehouse with massively parallel processing (MPP).
Massively parallel processing for speed and scale
Grail handles ever-growing data volumes and provides up to a 100X speed advantage over existing solutions thanks to its data lakehouse architecture with massively parallel processing (MPP) engine.
So, you can analyze large volumes of data in modern cloud-native environments with lightning fast speed.
Answer questions on the fly with Dynatrace Query Language
The answers you need are just a query away, with the all-new Dynatrace Query Language (DQL) and distributed query execution.
DQL accelerates advanced, ad-hoc analytics and provides flexibility in parsing, transforming, and analyzing data with easy-to-learn syntax for instant answers.