Optimal price-performance for analytics at scale

Best-in-class open-source timeseries OLAP database for analytics applications of any size

Build fast and scale smoothly

Rill's fully-managed service is the easiest way to take advantage of Apache Druid, with three tiers of service & support for developers at any stage.

Elastic scaling for optimal performance—only pay for what you use

Fully managed so it’s simple to operate with no DevOps burden

Secure enterprise data governance, SSO, & end-to-end encryption

Interoperable with leading BI tools—Tableau, Looker, & Superset

Dedicated support and premium SLAs for enterprise accounts



Business Critical

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Single AZ

Single workspace

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99.95% Uptime SLA

Multi AZ replication

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Multiple workspaces

Custom Druid Extensions

Dependable Support

Complete Druid-as-a-Service

Technical, billing, & account support

Dedicated Support

Dedicated technical support

Same day issue response times

24x7 billing & account support

Business Critical Support

30-minute S1 response times

Solution Architect overview

Routine technical account reviews

Secure Deployment

Enterprise-grade encryption

Robust Availability

Uptime Service Level Agreements

Flexible Integration

Custom encryption keys

SSO authentication

VPC / VNet Peering

Transparent usage-based billing means you only pay for what you need. Flexible pricing based on storage, compute, and network units start at the rates below:

Usage-based billing


Storage is the total compressed data in the cluster. It's available in two performance tiers, Hot and Cold, which set minimum compute requirements.

Data can also be offloaded to an archival tier where it does not consume any compute.

$0.0005 / GB per hour


Rill Compute Units (RCU) are a combination of CPU, memory, and disk used for ingesting and querying data.

RCU scale up elastically for data ingestion & processing with enterprise discounts on RCUs provisioned for querying.

$0.09 RCU per hour


There are no costs for ingress.

Egress tiers are:

1 TB
>1 TB

$80 / TB

Pricing FAQs

What is a Rill Compute Unit?

How is data size calculated in Rill?

What is the difference between Hot and Cold performance tiers?

What performance can I expect from my Hot and Cold tiers?

How can I increase the performance of a given tier?

What are the compute requirements for each performance tier?

What are the compute requirements for data processing?

How can I estimate my RCU usage?

How can I track my RCU usage?

How can I reduce my RCU consumption?

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