Druid Database

#What is Druid?

Druid is an open-source, column-oriented, distributed data store that is designed for real-time analytics on large datasets. Druid is optimized for OLAP queries and can scale horizontally across a cluster of machines.

#Druid Key Features

Some of the most recognizable features of Druid include:

• Real-time ingestion of high-velocity data streams.
• Column-oriented data storage optimized for OLAP queries.
• Support for high concurrency with fast queries and low latency.
• Interactive and ad-hoc querying with SQL-like language and intuitive web-based UI.
• Extensibility with a pluggable architecture that allows for custom modules and extensions.
• Built-in support for advanced features like time-series data, geo-spatial queries, and approximate query processing.

#Druid Use-Cases

Some of the use-cases for Druid include:

• Real-time analytics and monitoring of high-velocity data streams, such as IoT sensor data, application logs, or social media activity.
• Interactive exploration and analysis of large datasets with low-latency responses, such as ad-hoc business intelligence queries, data visualization dashboards, or A/B testing analysis.
• Data exploration and experimentation with advanced features like time-series data, geospatial queries, or approximate query processing.

#Druid Summary

Druid is an open-source, column-oriented, distributed data store designed for real-time analytics on large datasets, offering features such as real-time ingestion, fast queries, and built-in support for advanced features like time-series data and geo-spatial queries.