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

“We are able to scale datasources to trillions of rows and still achieve query response times in the 10s of milliseconds.”

“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.”

“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.”

"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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

"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."

“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 …

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

“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.”

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

“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.”

“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?’”

“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."

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

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