Druid
Distributed, column-oriented, real-time analytics data store
Apache Druid is a distributed, column-oriented analytics database built for fast slice-and-dice queries on large event streams. It targets teams running real-time dashboards over clickstream or telemetry data. It is deployed via Docker Compose or Helm.
Key features
- Sub-second OLAP queries
- Real-time streaming ingestion
- Column-oriented storage
- Horizontally scalable
Pros & cons
Strengths
- Very fast aggregations
- Handles streaming and batch
- Proven at scale
Trade-offs
- Complex multi-node architecture
- Weak joins and updates
Is Druid secure?
No known vulnerabilities affect Druid's latest release (druid-38.0.0). OSV.dev lists 12 past advisories for the project; none of them applies to this release. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.
- Most recent fixed advisory CVE-2026-23906, published 2026-02-10 (246 days ago), fixed in 36.0.0
Source: OSV.dev, checked 2026-10-14. How this is measured.
Druid replaces
Health badge
Maintain Druid? Add its health score to your README. The badge links back to this page.
Similar web analytics apps
Superset
Web AnalyticsModern data exploration and visualization platform
Replaces Tableau, Power BI
Metabase
Web AnalyticsOpen-source business intelligence and dashboards
Replaces Tableau, Looker
PostHog
Web AnalyticsOpen-source product analytics platform
Replaces Google Analytics, Mixpanel
Umami
Web AnalyticsSimple, fast, privacy-focused web analytics
Replaces Google Analytics
Postiz
Web AnalyticsSchedule posts, track the performance of your content, and manage all
Replaces Buffer, Hootsuite
Netron
Web AnalyticsVisualizer for neural network and machine learning models