“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."

“After we switched to Druid, our query latencies dropped to near sub-second and in general, the project fulfilled most of our requirements. Today, our cluster ingests nearly 1B+ events per day (2TB of raw data), and Druid has scaled quite well for us.”

“Our customers gain insights about their grid and at the same time the platform recommends different products for them to offer their customers, based on the insights we see.”

“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 …

“Druid is our choice for any application where somebody on the other end is waiting for a response. If you want super fast, low latency, that’s when we recommend Druid.”

“We are able to scale datasources to trillions of rows and still achieve query response times in the 10s of milliseconds.”

“We use to wait for a day or two to crunch the data for A/B testing, for example. Now, we can get that data from Druid in real time, usually in less than two seconds.”

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

“Druid is really good at being able to group on various aggregates at query time at speed. It gave us the confidence to build interactive analytics for users.”

“Just like individuals, Imply’s core values are critical to the success it achieves. Having well-defined values allows the company to transition from cultural fit to values fit, making space for the cultural adds who extend the fabric of the company’s unique DNA into the product and customer experience."

“The feature that we immediately loved is the Cluster Manager. With it, we can start a new Druid cluster in our AWS VPC or launch a major update in one click. Before, it was a time-consuming and dreaded operation for our data team.”

“We reduced our infrastructure costs by half and freed up 12 weekly engineering hours, more than covering the cost of Imply.”

"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times. Our team is now armed with a holistic view of both fraud and our application ecosystem."

“Because Imply has all of these features built-in, engineers focus on making products, not operational work.”

"At VRBO, a leading vacation rental platform, we have created complex OLAP data cubes on Apache Druid to analyze real-time user clickstreams, combining streaming and batch data running in AWS. Imply Pivot complements Druid with an outstanding and intuitive UI for analyses of traveler behavior and trends."