Learn how Orb uses Apache Druid to keep up with the world’s fastest growing infrastructure and AI companies. In this session, we’ll explore how to architect Druid to ensure correctness and maintain customer trust, while still providing lightning fast interfaces for your customers. We’ll cover how to understand your datastore’s guarantees, how to design for isolation and load characteristics, and how to design observability around Druid’s multi-tier design.
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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