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The history of Grail: Why you need a data lakehouse

Dynatrace

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Thus, Grail was born. Work with different and independent data types.

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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Dynatrace has recognized this problem for some time, and we’ve been working hard to build a radically new approach to addressing it. Limited data availability constrains value creation.

Analytics 237
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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Grail solves this scalability issue!

Analytics 232