46 Imply Testimonials

Industry
Company Size
15 per page
  • 15
Reset
  • “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.”

  • “Druid [has] a home in a number of areas in and around Yahoo, from executive-level dashboards to customer-facing analytics and even some analytically-powered products.”

  • “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.”

  • “We built an observability platform powered by Kafka and Druid that ingests over 5 million events per second and handles hundreds of queries on top of that. This gives us real-time insights into the operations of thousands of these Kafka clusters within Confluent Cloud.”

  • “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.”

  • “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.”

  • “Druid is our choice for any application where somebody on the other end is waiting for a response. If you want super fast, low latency, that’s when we recommend Druid.”

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

  • “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."

  • “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.”