“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.”
"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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."
“Today we see about 70,000 active users on the platform with about four million queries a day against Apache Druid.”
“Two years ago, we were building the product (Citrix Analytics Service) with Druid from scratch. Now, Druid has become one of the most critical components in the Citrix Analytics infrastructure."
“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.”
“We started with PostgreSQL, but its scale limitation became really painful to deal with. Very happy we switched to Apache Druid with Imply.”
“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.”
“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."
"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."
“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 be something to help make this easier and more efficient”
“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.”
“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."
“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.”