Deploy
Deploy Instantly
You can quickly and easily deploy a new Dremio cluster on Azure using our Azure Resource Manager (ARM) template. This link takes you to an Azure form where you'll provide your credentials and details about the cluster you wish to deploy. For production deployments of Dremio on Azure, we recommend leveraging Azure Kubernetes Service (AKS) and our Helm charts to deploy and manage the environment including HA, upgrades, and elastic scaling operations. Click the Production tab for more details.
You can quickly and easily deploy a new Dremio cluster on AWS using our CloudFormation template. This link takes you to an Azure form where you'll provide your credentials and details about the cluster you wish to deploy. For production deployments of Dremio on AWS, we recommend leveraging Amazon Elastic Kubernetes Service (EKS) and our Helm charts to deploy and manage the environment including HA, upgrades, and elastic scaling operations. Click the Production tab for more details.
Install Dremio
Download and deploy Dremio locally on Windows, Linux, and MacOS. You can start with a single node to get a feel for Dremio, or run a cluster of any size on your favorite hardware or instances. Note that we only support Linux for production deployments.
Learn Dremio
Dremio University provides free, self-paced learning to get you up to speed and productive as quickly as possible. During your course, Dremio University provides a free, private instance of Dremio Enterprise Edition for you to complete the labs. Cheers!
Deploy Instantly
Deploy your production cluster via Kubernetes. Our Helm charts simplify and harden your operations by following best practices for setup, scale-up, scale-down, upgrades, and other common operations. You may find it easier to evaluate Dremio using our ARM template, check the Evaluation tab to learn more.
Deploy your production cluster via Kubernetes. Our Helm charts simplify and harden your operations by following best practices for setup, scale-up, scale-down, upgrades, and other common operations. You may find it easier to evaluate Dremio using our CloudFormation template, check the Evaluation tab to learn more.
Self-Provisioned
Deploy and manage Dremio in your Hadoop cluster using YARN. We support all major distributions, including Apache, Amazon EMR, Cloudera, Hortonworks, and MapR.
Deploy and manage Dremio using Kubernetes. Our Helm charts simplify and harden your operations by following best practices for setup, scale-up, scale-down, upgrades, and other common operations.
Use our official Docker image to provision Dremio with your favorite tool.