“A surprising conclusion emerged. The best platform for scalability and customer usage was Imply.”

“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 …

“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.”

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

“Because Imply has all of these features built-in, engineers focus on making products, not operational work.”

"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."

“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 enables us to monitor performance across billions of client devices in real time. Now, we get the insights we need to optimize our code for different host platforms, applications, and websites.”

“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.”

“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.”

"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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

“Druid [has] a home in a number of areas in and around Yahoo, from executive-level dashboards to customer-facing analytics and even some analytically-powered products.”

“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?’”

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