“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.”

“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.”

“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.”

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

“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.”

"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."

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

“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.”

“Instead of relying on slow and stale dashboards, we have been able to achieve both internal productivity gains and faster decision-making with Druid and Imply.”