46 Imply Testimonials

“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.”

“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.”

“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."

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

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

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

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

“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.”

“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.”

“One of the big advantages of Druid has been the customizability that Druid offers; you can pretty much bend it to do anything. ”

“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.”

“We built an observability platform powered by Kafka and Druid that ingests over 5 million events per second and handles hundreds of queries on top of that. This gives us real-time insights into the operations of thousands of these Kafka clusters within Confluent Cloud.”

“Druid also has this native Kafka integration out of the box. We don’t even need any sort of connector or anything to make Apache Kafka and Apache Druid work together. It just works.”

“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.”