Apache Druid

Apache Druid is a high-performance real-time analytics database designed for large-scale streaming data applications. It excels at sub-second OLAP queries on both streaming and batch data, making it ideal for operational analytics at scale.

Key Features

• High Performance Analytics:

  • Sub-second OLAP query execution
  • Support for high-cardinality data
  • Real-time streaming ingestion
  • Columnar storage format
  • Automatic data optimization
  • Distributed query processing

• Scalable Architecture:

  • Horizontally scalable components
  • Tiered storage architecture
  • Quality of service controls
  • Multi-tenant support
  • Elastic deployment options
  • Cloud-native design

• Real-time Capabilities:

  • Native Kafka/Kinesis integration
  • Query-on-arrival functionality
  • Low latency ingestion
  • Guaranteed consistency
  • Real-time aggregations
  • Stream processing

• Enterprise Features:

  • SQL support
  • Security controls
  • High availability
  • Data replication
  • Monitoring tools
  • REST APIs

Who Should Use Druid

Druid is ideal for:

• Data-Driven Companies needing real-time analytics
• Organizations handling large-scale streaming data
• Teams requiring sub-second query performance
• Applications serving high-concurrency analytics

Getting Started

Druid offers multiple deployment options:

1. Single Server Deployment:

   curl -O https://dlcdn.apache.org/druid/27.0.0/apache-druid-27.0.0-bin.tar.gz
   tar -xzf apache-druid-27.0.0-bin.tar.gz
   cd apache-druid-27.0.0
   ./bin/start-micro-quickstart
   

2. Production Setup:

   • Configure cluster components
   • Set up deep storage
   • Configure metadata storage
   • Deploy monitoring
   • Scale as needed

The platform provides extensive configuration options while maintaining high performance and reliability for large-scale analytics workloads.