“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.”

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

"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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

“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."

“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."

“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.”

“Thanks to Apache Druid, we feel not only that we’ve caught up with our competitors–the likes of Adobe, Facebook, Snapchat, and Google–but we are poised to take it to the next level.”

“Why do I have to do all this work just to add another column, or to give a specific market the daily aggregate that they need? We’re paying a fortune for processing and for storage – why can’t we just have a simple, wide view of a table? There must …

“If your environment is ready and is optimized around the capabilities of Imply, it becomes a very valuable tool.”

“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.”

“We did a lot of database comparisons, and Druid achieved better query performance. Our team tested Druid and Trino and found Druid was ten times faster on average."

“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.”