Serverless Workspaces in Azure Databricks is now Generally Available

We’re excited to announce that serverless workspaces are now Generally Available on Azure, making Azure Databricks a fully managed platform that is available in seconds.

Serverless workspaces simplify workspace creation. Traditionally, creating a Databricks workspace on Azure meant designing and deploying cloud infrastructure first – setting up VNets, allocating IP ranges, configuring NAT gateways, and defining firewall rules – before teams could even start working with data. These Classic Workspaces provide deep control over networking and infrastructure, but they often require significant planning and coordination across IT, networking, and security teams.

Serverless workspaces remove workspace creation friction.

With Serverless Workspaces, Databricks provides serverless compute and default storage out of the box, with no infrastructure setup required. Compute runs in a Databricks-managed Azure network, shifting responsibility for networking, scaling, and isolation to Databricks—so teams can focus on insights instead of infrastructure.

Why customers choose Serverless Workspaces

Serverless Workspaces help teams move faster with less coordination across organizations, while still maintaining strong governance and security.

Key benefits include:

• Faster time to value: Spin up workspaces in minutes without waiting on IT. Teams get immediate access to analytics and AI tooling, with built-in cost visibility.
• Zero-setup, secure storage: Each workspace includes Databricks-managed storage integrated with Unity Catalog (UC). Features like multi-key protection and no direct access to object storage ensure that only authorized users can access your data.
• Instant serverless compute: Run workloads immediately without provisioning or managing clusters. Azure Databricks automatically deploys and scales serverless compute efficiently, reducing operational overhead for Azure data teams.
• Built-in governance: Existing Unity Catalog data and permissions are available from day one. This ensures consistent access controls and lineage tracking that can integrate with Microsoft Purview for broader data estate visibility.
• Simplified Azure networking: No VNets, NAT gateways, or Private Endpoints to design, serverless network policies are managed for you.

Serverless Workspaces in Azure Databricks allow our clients to move from infrastructure planning to delivering analytics almost immediately. With governance through Unity Catalog in place, teams are enabled to innovate faster and accelerate ROI. — Steven Koppens, Senior Manager, KPMG AI & Data

What this means for Azure Databricks Customers

For organizations standardizing on Microsoft Azure, Serverless Workspaces provide a simple, secure starting point for analytics, BI, and AI without re-architecting their Azure environment.

Serverless Workspaces follow an Azure-native, service-managed model that integrates seamlessly with the Microsoft ecosystem customers already rely on, while maintaining enterprise-grade governance through Unity Catalog, including access to existing data assets and permissions already defined in UC.

Teams can immediately take advantage of:

• Native integration with Entra ID for identity and access management
• Seamless publishing of governed data to Power BI through Unity Catalog
• Secure AI development by combining Azure Databricks with Azure OpenAI
• Interoperability across the Microsoft analytics ecosystem without duplicating data or governance models

Serverless Workspaces in Azure Databricks removed the infrastructure bottleneck for our data teams. With governance already in place through Unity Catalog, we moved from planning and approvals to delivering analytics quickly-allowing teams to focus on solving our business objectives rather than platform setup. — Rob Birmingham, Chief Information and Technology Officer, North Carolina Office of the State Auditor

When to use Serverless vs. Classic

Azure Databricks supports both Serverless and Classic workspace models, giving customers flexibility based on workload and organizational needs.

Choose Serverless Workspaces when:

• Speed and simplicity matter
• You want to minimize infrastructure setup and operational overhead
• Teams need to get started quickly without heavy IT involvement

Choose Classic Workspaces when:

• You require custom networking configurations
• You need direct control over Azure infrastructure
• Your environment has advanced or specialized security requirements

Many customers use both models side by side, selecting the right approach for each workload.

Learn how to setup an Azure Serverless Workspace today | Get started with Azure Databricks for free →