Druid
Distributed, column-oriented, real-time analytics data store.
High commit volume, frequent releases and growing activity.
Commit activity more than 81% of tracked projects; popularity more than 83%. How this is calculated.
Commits, last 11 months
| Stars | 14k |
|---|---|
| Latest release | druid-37.0.0 · 8 May 2026 |
| Repo updated | 27 Sept 2026 |
| Licence | Apache-2.0 |
| Built with | Java, Docker |
Is Druid actively maintained?
Development is ongoing. The repository recorded 1093 commits over the same window, and the last three months alone account for 484 of them.
Activity is accelerating: the last quarter carried 66% more commits than the one before it.
The most recent tagged release, druid-37.0.0, is about 5 months old.
Of the 33 projects we track in Analytics, Druid ranks #8 by health score — in the top quarter of its category.
What Druid actually does
Druid is an open-source analytics data store designed for distributed, column-oriented workloads that require real-time data ingestion and querying. It is written in Java and licensed under the Apache-2.0 licence. The software is built to handle large volumes of event data while maintaining low latency on analytical queries.
Best fit: It suits large-scale operational analytics use cases where high-concurrency ingestion and sub-second query performance on massive datasets are mandatory.
Worth knowing: Operating a distributed data store of this complexity introduces significant infrastructure overhead and operational maintenance compared to traditional relational databases.
Deployment notes
Because it relies on Java and Docker, you will typically need to allocate dedicated memory and configure persistent storage volumes for your container orchestration setup.
Links
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