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Apache® Druid

Druid is a high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load.

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Sub-second queries at any scale

Execute OLAP queries in milliseconds on high-cardinality and high-dimensional data sets with billions to trillions of rows without pre-defining or caching queries in advance.

High concurrency at the lowest cost

Build real-time analytics applications that supports 100s to 100,000s queries per second at consistent performance with a highly efficient architecture that uses less infrastructure than other databases.

Real-time and historical insights

Unlock streaming data potential through Druid's native integration with Apache Kafka and Amazon Kinesis as it supports query-on-arrival at millions of events per second, low latency ingestion, and guaranteed consistency.

Key Druid Features

Interactive Query Engine

Druid utilizes scatter/gather for high speed queries with data preloaded into memory or local storage to avoid data movement and network latency

Tiering & QoS

Configurable tiering with quality of service enables the ideal price-performance for mixed workloads, guarantees priority, and avoids resource contention

Optimized Data Format

Ingested data is automatically columnarized, time indexed, dictionary encoded, bitmap indexed, and type-aware compressed

Elastic Architecture

Loosely coupled components for ingestion, queries and orchestration combined with a deep storage layer enable easy & quick scale-up & scale-out

True Stream Ingestion

A connector-free integration with streaming platforms enables query-on-arrival, high scalability, low latency, and guaranteed consistency

Non-stop Reliability

Automatic data services including continuous backup, automated recovery, and multi-node replication ensure high availability and durability

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Featured Content

Recent releases

27.0.0Aug 10 2023

26.0.0May 23 2023

25.0.2Jan 4 2023