The power of Apache Druid™
Experience the benefits of a high performance real-time database without the maintenance.
About Apache Druid
The Apache Druid database was originally created at Metamarkets (our CEO's previous company), and our team of engineers has operated some of the world’s largest clusters. Apache Druid is extremely efficient on large datasets, enabling real-time analytics on use cases that were previously unmanageable.

Apache Druid has been adopted by dozens of Fortune 500 companies but has historically required significant engineering resources. Rill’s fully managed cloud offering removes the challenges of managing a Druid cluster and enables fast queries against your big data with no DevOps overhead.
Clickstream analytics
Fraud analytics and anomaly detection
Customer behavior analysis
Digital marketing
Application and network monitoring
Sensor and IoT analytics
Real-time analytics use cases
Fast decision-making on real-time data is an increasingly critical component of every company’s data strategy. Apache Druid was designed specifically for sub-second query access on terabyte datasets.

Apache Druid is commonly used for operational intelligence, making event stream data a reality.
Clickstream analytics
Fraud analytics and anomaly detection
Customer behavior analysis
Digital marketing
Application and network monitoring
Sensor and IoT analytics
Price performance advantage
The more queries you perform, the better your price performance will be.

If you are performing millions of queries a month, your cost will be a fraction of data warehouse solutions that charge per query.
Column-oriented, distributed architecture supports efficient access
In memory storage for fast queries
Data roll ups for efficient storage
Approximate query algorithms provide up to 10x speed increase
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