46 Imply Testimonials

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  • "With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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

  • “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.”

  • “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.”

  • “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."

  • “Just like individuals, Imply’s core values are critical to the success it achieves. Having well-defined values allows the company to transition from cultural fit to values fit, making space for the cultural adds who extend the fabric of the company’s unique DNA into the product and customer experience."

  • “Today we see about 70,000 active users on the platform with about four million queries a day against Apache Druid.”

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

  • “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.”

  • "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."

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

  • “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."

  • “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.”