druid

Workflow	Status
⚙️ CodeQL Config
🔍 CodeQL
🕒 Cron Job ITS
🏷️ Labeler
🛠️ Static Checks
🧪 Unit and Integration Tests Unified

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Apache Druid

Druid is a high performance real-time analytics database. Druid's main value add is to reduce time to insight and action.

Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational (ad-hoc) queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases. The design documentation explains the key concepts.

Getting started

You can get started with Druid with our local or Docker quickstart. For Kubernetes deployments, the druid-operator is maintained in a separate repository.

Druid provides a rich set of APIs (via HTTP and JDBC) for loading, managing, and querying your data. You can also interact with Druid via the built-in web console (shown below).

Load data

Load streaming and batch data using a point-and-click wizard to guide you through ingestion setup. Monitor one off tasks and ingestion supervisors.

Manage the cluster

This is the beginning of the README. Read the rest at the original. Read the full README ↗