AWS 요금

A Databricks Unit (DBU) is a normalized unit of processing power on the Databricks Lakehouse Platform used for measurement and pricing purposes. The number of DBUs a workload consumes is driven by processing metrics which may include the compute resources used and the amount of data processed. For example, 1 DBU is the equivalent of Databricks running on an i3.xlarge machine with the Databricks 8.1 standard runtime for an hour. See the full list of supported instances and details.

Jobs workloads are workloads running on Jobs clusters. Jobs clusters are clusters that are both started and terminated by the same Job. Only one job can be run on a Jobs cluster for isolation purposes. All-Purpose workloads are workloads running on All-Purpose clusters. All-Purpose clusters are clusters that are not classified as Jobs clusters. They can be used for various purposes such as running commands within Databricks notebooks, connecting via JDBC/ODBC for BI workloads, running MLflow experiments on Databricks. Multiple users can share an All-Purpose cluster for doing interactive analysis in a collaborative way.

For Classic compute, Databricks deploys cluster resources into your AWS VPC and you are responsible for paying for EC2 charges. For Serverless compute, Databricks deploys the cluster resources into a VPC in Databricks’ AWS account and you are not required to separately pay for EC2 charges. Please see here for more details.

If your source data is in a different AWS cloud region than the Databricks Serverless environment, AWS may charge you network egress charges. Databricks is currently waiving charges for egress from the Serverless environment to your destination region, but we may charge for such egress at market-competitive rates in the future.

Jobs Light cluster is Databricks’ equivalent of open-source Apache Spark. It targets simple, non-critical workloads that don’t need the performance, reliability, or autoscaling benefits provided by Databricks’ proprietary technologies. In comparison, the Jobs cluster provides you with all of the aforementioned benefits to boost your team productivity and reduce your total cost of ownership.

The 14-day free trial gives you access to either Standard or Premium feature sets depending on your choice of the plan. Contact us if you are interested in Databricks Enterprise or Dedicated plan for custom deployment and other enterprise customizations. Please note that you will still be charged by your cloud provider for resources (e.g. compute instances) used within your account during the free trial.

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Databricks Community Edition is a free, limited functionality platform designed for anyone who wants to learn Spark. Sign up here.

By default, you will be billed monthly based on per-second usage on your credit card. Contact us for more billing options, such as billing by invoice or an annual plan.

We offer technical support with our annual commitments. For self-serve options customers are encouraged to also check the technical documentation. Contact us to learn more.

You must contact us for a HIPAA-compliant deployment. Please note that prior to processing any PHI data in Databricks, a signed business associate agreement (BAA) must be in place between your organization and (a) Databricks, Inc.; and (b) because you must have your own account with AWS to deploy Databricks on AWS, Amazon Web Services. Please see here for more details.

Please contact us to get access to preview features.

Yes. We provide our customers with the ability to decide for themselves whether the tradeoffs for additional encryption are necessary given the workloads being processed. Please contact us to enable it.

Product Spend is calculated based on AWS product spend at list, before the application of any discounts, usage credits, add-on uplifts, or support fees.