Apache Druid is often used to power applications that are fun, fluid, and fast. It’s designed for the last mile, sitting behind a UI where customers, suppliers, and employees are waiting for fast responses to their analytic questions. In this presentation, we’ll review the best modeling and ingestion practices in order to optimize application performance.
Strategies for Managing Your Splunk Spend at Scale in 2026
Learn how a decoupled architecture for Splunk—powered by Imply Lumi and Federated Search—helps you keep more data searchable, reduce costs, and scale efficiently without changing existing Splunk workflows.
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Learn how decoupled observability helps you do more with your Splunk data, reduce costs, and scale efficiently with Federated Search.
Watch nowKeynote: Powering Event-Driven Data with Apache Druid
The distinction between OLTP and OLAP is becoming less relevant as data architectures shift toward entities and events. In this session, we’ll delve into how Apache Druid’s event-first approach synthesizes...
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