Security Best Practices for AWS on Databricks

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The Databrick Lakehouse Platform is the world’s first lakehouse architecture -- an open, unified platform to enable all of your analytics workloads. A lakehouse enables true cross-functional collaboration across data teams of data engineers, data scientists, ML engineers, analysts and more. In this article, we will share a list of cloud security features and capabilities...

Customer-managed Key (CMK) Public Previews for Databricks on Azure and AWS

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We’re excited to release the Customer-managed key (CMK) public previews for Azure Databricks and Databricks workspaces on AWS (Amazon Web Services), with full support for production deployments. On Microsoft Azure, you can now use your own key to encrypt the notebooks and queries managed by Azure Databricks; this capability is available in the Premium pricing...

Private Databricks Workspaces With AWS PrivateLink Is in Public Preview

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We’re excited to announce that PrivateLink connectivity for Databricks workspaces on AWS (Amazon Web Services) is now in public preview, with full support for production deployments. This release applies to all AWS regions supporting E2 architecture, as part of the Enterprise pricing tier. We have received great feedback from our global customers, including large financial...

Security Cluster Connectivity Is Generally Available on Azure Databricks

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This is a collaborative post co-authored by Principal Product Manager Premal Shah, Microsoft, and Principal Enterprise Readiness Manager Abhinav Garg, Databricks We're excited to announce the general availability of Secure Cluster Connectivity (also commonly known as No Public IP) on Azure Databricks. This release applies to Microsoft Azure Public Cloud and Azure Government regions, in...

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