46 Imply Testimonials

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  • “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.”

  • “Our detection team is constantly faced with evolving threats and new emerging fraud schemes. To keep up with such sophisticated actors, we needed the ability to quickly turn our hypotheses into data-driven decisions. That led us to Imply, which gave us an engine to drive the speed to insight we desired.”

  • “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.”

  • “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.”

  • “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 be something to help make this easier and more efficient”

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

  • “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.”

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

  • “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.”

  • “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."

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

  • "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."

  • “The foundation of Druid was set keeping modern data analytics in mind—it was the best choice for our real-time use cases.”

  • “After we switched to Druid, our query latencies dropped to near sub-second and in general, the project fulfilled most of our requirements. Today, our cluster ingests nearly 1B+ events per day (2TB of raw data), and Druid has scaled quite well for us.”