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
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
Automatic data services including continuous backup, automated recovery, and multi-node replication ensure high availability and durability
Druid is proven in production at the world's leading companies at massive scale.
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