Leveraging Druid, Imply supports sub-second OLAP queries, even with petabytes of raw data. Flexibly slice and dice, drill down, and aggregate any event data. Imply is ideal for powering user-facing analytics applications where responsiveness really matters.
Existing deployments have scaled to petabytes of data and trillions of events, ingesting millions of events every second. Our technology is horizontally scalable. As your data volumes increase, simply add more servers.
Control exactly how much hardware to use to get the performance you need. Run entirely in memory if performance is critical or crunch results partially in memory to cut down on costs.
Stream in data and find insights on events immediately after they occur. Load static batch files directly from any filesystem. Unify real-time and historical views in the same system.
Druid is the open source analytics data store at the core of Imply. Druid enables arbitrary data exploration, low latency data ingestion, and fast aggregations at scale. Druid is widely used in production to power data applications, and integrates with existing data infrastructure technologies such as Hadoop, Spark, Kafka, Storm, Flink, and much more.Learn more
Pivot is a powerful visual data explorer. It lets you freely explore relations between dimensions in your dataset, and watch and analyze events as they happen.Learn more
PlyQL is an open source SQL-like query language for Druid, built on top of Plywood. You can query it using the plyql command line tool included with Imply.Learn more
Seamlessly load static files and data streams from an array of different file systems and stream technologies. Loading data into Imply is fully extendable to work with your favorite system.