Imply combines Druid, a powerful open source analytics engine created by Imply’s founders, with an intuitive, easy-to-use UI. Druid's innovative architecture makes it an ideal query layer in modern data architectures.
Druid is a new type of data store that combines ideas from analytic databases, timeseries databases, and search systems.
Druid can load streams of events in real-time, or static files from data lakes, no matter the scale, complexity, or structure of the data.
Druid can be deployed in any *NIX environment. Run it on-prem, in the cloud, or in a hybrid environment.
Druid’s unique architecture makes it ideal for the slice and dice workflows commonly found in OLAP.
While traditional business intelligence workflows focus on using static reports and dashboards, Imply provides rapid, dynamic access to streaming and batch data. Leverage the power of Druid to instantly create ad-hoc views on real-time and historical data and explain any pattern or anomaly.
Slice and dice, filter, and aggregate data. Analyze performance of digital products, track mobile app usage, or monitor site reliability.
Root case issues in a few clicks. Troubleshoot netflows, analyze security packets, or diagnose software crashes.
Find common attributes among events. Identify common attributes among failing devices, or users of a digital product.
Improve product engagement. Optimize ad-spend in digital marketing campaigns or increase user engagement in online products.