46 Imply Testimonials

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  • “Our customers gain insights about their grid and at the same time the platform recommends different products for them to offer their customers, based on the insights we see.”

  • “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.”

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

  • “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 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.”

  • “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.”

  • “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.”

  • “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.”

  • “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.”

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

  • “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.”

  • “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.”

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

  • “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."

  • “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.”