46 Imply Testimonials

“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.”

“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.”

"At VRBO, a leading vacation rental platform, we have created complex OLAP data cubes on Apache Druid to analyze real-time user clickstreams, combining streaming and batch data running in AWS. Imply Pivot complements Druid with an outstanding and intuitive UI for analyses of traveler behavior and trends."

“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."

“Combining an approximate streaming algorithm (DataSketch) that supports set operations and a fast time-series datastore (Druid) can provide capabilities that previously could take hours.”

“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?’”

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

“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.”

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

“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 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 few years.”

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

“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.”

"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."