"With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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

"In search of an enterprise partner for Druid, we found Imply to be the perfect one."

“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.”

“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.”

“I call Imply Polaris a ‘five-minute analytics infrastructure’ because you can get from zero to a table with test data and build dashboards with the drag-and-drop-style report builder in literally no more than five minutes.”

"Imply Pivot provides all the tooling required for data exploration. The ability to perform self-service really empowers our users. It also gives us really fast query times. 98% of our queries take less than 500 milliseconds."

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

“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.”

“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.”

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

“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.”

“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.”

“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 …

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

“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."