Apache Druid
non-cncf
First Research Pass
Content Lifecycle & Evolution State
1
Initial Seed
Metadata Loaded
2
First Research
Automated Gathering
3
Tech Writing
Content Structured
4
Approval
Editorial Verified
First Research Pass Completed: Initial facts, key features, and documentation links have been gathered. Detailed technical writing and synthesis are currently in queue.
Overview
A high-performance, real-time analytics database designed for sub-second OLAP queries on large volumes of event-driven data.
Key Features
Sub-second query response times for multi-dimensional filtering and grouping.
Native real-time streaming ingestion from Kafka and Kinesis.
Columnar storage with dictionary encoding and bitmap indexing.
Distributed, self-healing, horizontally scalable architecture.
Use Cases
Powering real-time user-facing analytics dashboards, clickstream tracking, and live fraud detection.
Getting Started
Download binary and run `./bin/start-micro-quickstart`, opening UI at `http://localhost:8888`.
Recent Updates
Multi-stage query (MSQ) engine for SQL batch ingestion and vector search extensions.
Did You Know?
Apache Druid is widely utilized across the cloud native and open source ecosystem.