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).
Answers with speed, scale, and cost-efficiency
Get up to a 100X speed advantage with MPP and by eliminating the re-indexing and rehydration slowing you down.
Context-rich observability and security analytics
Get insights with unified analysis from observability, security, and business data in full context.
The power of a unified intelligence platform
Drive answers and automation at any scale together with OneAgent, Smartscape, PurePath, and Davis AI.
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.