Sometimes we want to understand how Druid will perform using various types of data, but the actual data may not be available. The developer relations team at Imply has created a data generator program that can simulate various types of data for you. This script may be helpful if you are creating a POC or projecting the performance of data that does not yet exist. In this session, we will introduce you to this generator, tell you how you can get it (it’s free), and explain how to configure it.
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.
Watch nowObservability at a Breaking Point: How Decoupling Unlocks Speed, Scale, & Savings
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...
Watch now