Building on the content of our session from an earlier Druid Summit where we compared different solutions for computing percentiles, we’ll do a deeper dive into how to use the SpectatorHistogram extension. In this session we’ll introduce Spectator Histogram, a Druid extension and storage format that allows good approximations of distributions, can scale to Trillions of rows while maintaining good query performance and allows for native Percentile queries. This extension will be offered as Open Source by the time of the Summit.
Keynote: 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 nowClosing Keynote: Charting the Future of Druid
What lies ahead for Apache Druid? Join us as we explore the evolving landscape of Druid’s query and storage engines, and how they are positioned to address the biggest challenges in event data for the future. Speaker: Gian...
Watch nowSalesforce: Tracing Service Dependencies at Scale with Druid and Flink
At Salesforce, we manage approximately 300 million distributed spans to infer service dependencies. We have successfully utilized a combination of Druid and Flink to handle this scale with high availability....
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