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

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

“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."

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

“We started with PostgreSQL, but its scale limitation became really painful to deal with. Very happy we switched to Apache Druid with Imply.”

“The sheer volume of data we push through Imply is immense, but in an instant, we can answer a precise question like ‘How many ad opportunities were there for Words with Friends in Brighton today at 4 PM?’”

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

"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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."

“By using Apache Druid and Imply, we can ingest multiple events straight from Kafka and our data lake, ensuring advertisers have the information they need for successful campaigns in real time.”

“Druid [has] a home in a number of areas in and around Yahoo, from executive-level dashboards to customer-facing analytics and even some analytically-powered products.”

“Our advertisers were requesting different slices of their data and [HBase] didn't really support that. We said what’s next for us? And we chose Apache Druid because it met all our key requirements.”

“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.”

“When Elasticsearch could no longer meet our requirements, we switched to Druid. The proof of concept was great in terms of scalability, concurrent queries, performance, and cost—so we went with Druid and never looked back.”

“To build our industry-leading solutions, we leverage Imply and Druid, which provide an interactive, highly scalable, and real-time analytics engine, helping us create differentiated offerings.”

“I call Imply Polaris a ‘five-minute analytics infrastructure’ because you can get from zero to a table with test data and build dashboards with the drag-and-drop-style report builder in literally no more than five minutes.”