Latency is created from initiating MapReduce jobs.
ELT adds delay as raw data is prepared and normalized for analysis.
Real-time exploratory analytics demand high-speed ingestion and sub-second query response.
Ingests millions of events per second via its native HDFS connector to ensure data freshness.
Delivers sub-second query response without pre-computation, for interruption-free, exploratory analysis.
Used at scale at data-driven companies like Lyft, Netflix and Airbnb.
Used to analyze operational data from clickstreams, system logs, netflows and IoT device streams.
The Imply solution is the industry’s most complete real-time analytics offering, developed by the authors of Druid. Imply surrounds Druid with drag-and-drop visualization, cluster and query monitoring management and enterprise-grade security. Visit the Imply product page to learn more.
Imply is available as both on-prem and as a managed cloud service deployed to your AWS VPC (you control your data).
In this tutorial, you'll load files into Druid using Hadoop in local standalone mode and how to automatically parallelize ingestion using a remote Hadoop cluster.Learn more
This tutorial walks you through how to Druid to use Dataproc (GCP’s managed Hadoop offering) for Hadoop Indexing.Learn more