High performance at low cost
Sub-second analytic queries at a fraction of the cost of traditional solutions.
Consistent query latency
Mix simple and complex queries and workloads and provide fast results on both.
Built for high concurrency
Deliver a great end user experience even eith highly concurrent usage
Imply makes managing, deploying, and monitoring clusters easy.
Imply Pivot is an intuitive UI for performing self-service analytics through a simple drag-and-drop interface. Flexibly explore data.
Apache Druid is a high performance analytics database designed for fast data ingest and sub-second query response.
Ingest real-time and historical data from many sources.
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.
Paolo Lucente, Big Data Architect, NTT
In search of an enterprise partner for Druid, we found Imply to be the perfect one.
Arpit Dubey, VP, Big Data Platform Lead
Imply Pivot provides all the tooling required for data exploration. The ability to perform self-service really empowers our users. It also gives us really fast query times. 98% of our queries take less than 500 milliseconds.
Nicolas Ngorok, Engineering Manager
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.
Chandra Raju, Sr. Manager, Digital and Analytics Platform
With Imply, slow queries and syntax struggles have been replaced by slice and dice functionality with sub-second response times.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.
Jaylyn Stoesz, Data Engineer
With Imply, now we're running at least 10 times faster than when we started.
Pankaj Tiwari, Head Of Engineering