“To build our industry-leading solutions, we leverage Imply and Druid, which provide an interactive, highly scalable, and real-time analytics engine, helping us create differentiated offerings.”
“Our advertisers were requesting different slices of their data and [HBase] didn't really support that. We said what’s next for us? And we chose Apache Druid because it met all our key requirements.”
“A surprising conclusion emerged. The best platform for scalability and customer usage was Imply.”
“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 the data that's in Druid.”
“Because Imply has all of these features built-in, engineers focus on making products, not operational work.”
“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.”
“One of the big advantages of Druid has been the customizability that Druid offers; you can pretty much bend it to do anything. ”
“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.”
“Today we see about 70,000 active users on the platform with about four million queries a day against Apache Druid.”
"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."
“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.”
“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."
“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."
“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.”