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Databricks and AWS are expanding their existing partnership. According to Databricks, a pay-as-you-go model should make it easier to build a lakehouse, the architecture with which companies realize a modern data stack.

The two companies have been collaborating for some time to support companies in their data landscape. Earlier this year, Databricks added support for AWS’ Graviton 2-based EC2 instances. According to Databricks, this delivers three to four times better price-performance for lakehouse workloads running on AWS.


Now, a pay-as-you-go option is being added, allowing companies to work with lakehouses through their AWS Marketplace account. A lakehouse is a Databricks-native architecture that combines the best of data warehouses and data lakes. With the new option, Databricks promises seamless integration with existing AWS configurations and security.

Tip: Will Databricks lakehouses change the AI and data world?

AWS customers only pay for the resources they use. The solution is supposed to be easy to use as a part of an existing Enterprise Discount Program (EDP), the AWS program that provides services based on needs.

“This gives organizations the flexibility and scale required to build AWS lakehouses that meet their current and future business needs”, said Databricks. Databricks hopes that, by simplifying the process of building a lakehouse platform on AWS, the move will lead to customers getting more value out of data.

AWS customers can start a trial from their AWS console. Databricks trials typically lasts 14 days when purchased from a cloud platform. The new service consolidates Databricks’ billing and payment with existing AWS accounts.

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