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

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

“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.”

"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."

“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 …

“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.”

“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."

“Druid enables us to monitor performance across billions of client devices in real time. Now, we get the insights we need to optimize our code for different host platforms, applications, and websites.”

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

“One of the reasons we chose Druid is for the active community—it’s open and transparent, and people can review and contribute to the technology."

“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 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.”

“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.”

“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?’”

“The foundation of Druid was set keeping modern data analytics in mind—it was the best choice for our real-time use cases.”