Apache Druid is an open-source column-based data store coded in Java. The distributed data store can quickly process massive amounts of data while providing low-latency queries. The word “Druid” originates from the Druid class used in a variety of role-playing games. It reflects that the Druid architecture can solve different data problems. The platform is widely used by companies, including Cisco, Alibaba, Netflix, Twitter, Pinterest, and many more. 

Project Background

• Platform: Druid 
• Author: Metamarkets
• Released: December 2021
• Type: Distributed real-time time-series column-oriented datastore
• License: Apache License 2.0
• Supports: Cross-platform
• Language: Java
• GitHub: /apache/druid
• Runs on: Apache ZooKeeper, metadata storage, a deep storage facility 

Applications

• Real-time analytics
• User activity and behavior
• Network flows
• Digital marketing
• Application performance management
• IoT and device metrics
• OLAP and business intelligence

Summary

• Built for fast and modern data analytics applications
• Can easily integrate with existing data pipelines
• Can process super-fast and consistent queries at high concurrency
• Unlocks new types of workflows and queries for APM, clickstream, supply chain, network telemetry, risk/fraud, and other data types. 
• You can deploy Apache Druid in public, private, and hybrid clouds.