“The team at Imply are Druid experts and provide best practices on Druid and Imply cluster design. We have also partnered with Imply to deliver additional Pivot UI functionality including alerting users when data hits designated thresholds, email reporting, and UX improvements around slicing and dicing data.”

“Druid powers our core responsibility, which is keeping invoices up to date. So with all these events in Druid, we're executing the queries that customers have defined, which power their line items and the quantities on those line items. We're constantly keeping our customers' customers’ invoices up to date with …

"With Imply, now we're running at least 10 times faster than when we started."

“Druid has a distributed architecture, so it's easy for us to scale. As ingestion rates go up, we can add more middle managers and historicals. As more queries come in, we can add more brokers. Finally, Druid has enterprise support from Imply which has helped us tremendously in the past …

“Today we see about 70,000 active users on the platform with about four million queries a day against Apache Druid.”

“Two years ago, we were building the product (Citrix Analytics Service) with Druid from scratch. Now, Druid has become one of the most critical components in the Citrix Analytics infrastructure."

“We built an observability platform powered by Kafka and Druid that ingests over 5 million events per second and handles hundreds of queries on top of that. This gives us real-time insights into the operations of thousands of these Kafka clusters within Confluent Cloud.”

“Druid also has this native Kafka integration out of the box. We don’t even need any sort of connector or anything to make Apache Kafka and Apache Druid work together. It just works.”

"Imply Pivot provides all the tooling required for data exploration. The ability to perform self-service really empowers our users. It also gives us really fast query times. 98% of our queries take less than 500 milliseconds."

"In search of an enterprise partner for Druid, we found Imply to be the perfect one."