Announcing Databricks on AWS Quick Starts to Deploy in Under 15 minutes

We are pleased to announce the availability of Databricks on the AWS Quick Starts program. With this release, our customers can easily deploy the Databricks Unified Data Analytics Platform on Amazon Web Services (AWS) along with the rest of their infrastructure using a flexible and powerful tool.

The AWS Quick Starts include an AWS CloudFormation template that rapidly automates the deployment of a Databricks workspace, a deployment guide that outlines the architecture as well as step-by-step deployment instructions.

Given that security privileges may vary from customer to customer, we have created an AWS Quick Starts solution that allows customers to automate:

1. The deployment of a Databricks workspace and creation of a new cross-account IAM role
2. The deployment of a Databricks workspace and use an existing cross-account IAM role

AWS CloudFormation templates, custom resource and AWS Lambda

AWS CloudFormation is a service that enables you to describe and provision all the infrastructure resources in your cloud environment. The Databricks CloudFormation templates are written in YAML and extended by an AWS Lambda-backed custom resource written in Python.

You also have direct access to the templates. You can download them, customize them, and extract interesting elements for use in your projects. Please see the deployment guide for customizing the templates.

How to get started?

The Quick Starts solution launches a CloudFormation template that creates and configures the necessary AWS resources needed to deploy and configure the Databricks workspace by invoking the Databricks API calls for a given Databricks Account, AWS Account, and region.

The Databricks Quick Starts solution is available under the Analytics, Data Lake, Machine learning & AI categories or by simply filtering using the search bar.

You can then review the full deployment guide from the Databricks reference deployment page which contains the architecture overview, deployment options and steps.

Simple and easy deployment process

The deployment process is simple and easy and will complete in less than 15 minutes. First, you’ll need to be signed into your account prior to launching the deployment. If you don't already have an AWS account, sign up at https://aws.amazon.com.
Select the template of your choice and then select the region where to deploy your Databricks workspace from the CloudFormation UI.

In 15 minutes, with just a few parameters ...

The template is easy to follow and requires only a few mandatory parameters to launch the workspace deployment as follow:

1. CloudFormation stack name
2. E2 account ID
3. Username
4. password
5. Unique workspace deployment name
6. Unique IAM role
7. Unique S3 root bucket

Ability to innovate while enforcing security controls and governance

With the general availability of E2, our AWS customers can unleash their data teams potential by enabling all your data teams to solve your toughest data problems while using a highly secure, scalable, simple to manage, data analytics and machine learning platform.

Innovation is 15 minutes away!

What’s Next?

The new features for the Unified Data Analytics Platform on AWS are now available in the following AWS Regions (ap-south-1, ap-southeast-2, us-west-1, us-west-2, us-east-1, us-east-2, ca-central-1, eu-west-1, and eu-central-1 ). Learn more about how we are enabling you with comprehensive platform security, elastic scalability, and 360° administration for all your data analytics and machine learning needs.

Or by watching the on-demand webinar discussing how to Simplify, Secure, and Scale your Enterprise Cloud Data Platform on AWS in an automated way.

For more information on Databricks and AWS, visit databricks.com/product/aws for integration details and customer highlights.