“We built an anomaly detection engine, which uses ML models to detect unusual activity. Druid helps us analyze data with an interactive experience that enables on-demand analysis and visualization.”

"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 gives us the flexibility to define pre-aggregations, the ability to easily manage ingestion tasks, the ability to query data effectively, and the means to create a highly scalable architecture.”

“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 …

“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.”

“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.”

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

“Imply Pivot allows end users to run queries without a single line of SQL. You can drop a field and it will generate a query for you.”

“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.”

“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.”

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

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

“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.”

"Imply’s Pivot enables users across NTT GIN to freely explore data. Users have unlocked new use cases, are creating their own customized dashboards, and are freely sharing insights."

“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.”