Apache Druid
A high performance, real-time analytics database for sub-second queries
Apache Druid is an open-source, high-performance real-time analytics database designed for OLAP queries on large-scale streaming and batch data. It supports sub-second query responses on datasets with billions to trillions of rows, with native integrations for Apache Kafka and Amazon Kinesis. Druid is built for high-concurrency workloads and features elastic architecture, automatic data optimization, and SQL support.
Druid ingests streaming and batch data, automatically columnarizes and indexes it, and uses a scatter/gather query engine with data preloaded into memory or local storage for ultra-fast OLAP queries.
data engineers, analysts, and developers building real-time analytics applications
Background.
- Status
- launched
- Business model
- open-source
- Company
- Apache Software Foundation
Similar projects.
Editorial take on the space this project sits in — momentum signals, adjacent moves, our call on whether the wedge is real. Get pinged when we publish a new read or when the landscape shifts.
Have a take on this space?
Tell us what you’d build differently, where you think the incumbents miss, or what we’ve gotten wrong about this project. Comments + reactions are coming soon.