Microsoft Azure | Posit

Open-Source Data Science, Enterprise-Ready on Azure

Posit Team integrates natively with Azure ML, Azure Kubernetes Service, and Microsoft Entra ID - giving data science teams the R and Python tools they prefer, with the governance, security, and compliance that regulated industries demand. Available on the Azure Marketplace.

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From setup to insight in minutes
Posit Workbench on Azure ML provides pre-configured Positron, RStudio, VS Code, and JupyterLab sessions on Azure ML Compute instances - eliminating days of manual environment setup. Integrated Azure DevOps workflows enable continuous delivery of data products from repository to production.
Deploy data products at scale on AKS
Posit Connect and Workbench support Off-Host Execution on Azure Kubernetes Service, distributing workloads across scalable node pools with Azure Database for PostgreSQL and Azure NetApp Files for persistent storage. Connect's native containerization builds reproducible images using Cloud-Native Buildpacks - no Dockerfiles required.
Governance and compliance built in
Posit Package Manager secures R and Python packages with CVSS-based vulnerability blocking, monthly snapshots, and authenticated repositories - integrated with Microsoft Entra ID for SSO and SCIM-based user provisioning. Every deployment on Connect is versioned, auditable, and rollback-capable.

What's really cool is that from our repositories in Azure DevOps, we can deploy our work into Posit Connect, and from Connect, we can automate data processing. We can schedule reports and we can post Shiny apps. Posit Connect provided us more processing power, which allowed us to do analyses more quickly.

Lawrence Y. Tello

Senior Clinical Informatics Specialist, California Department of Public Health

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In the role in global IT, we have a deep focus on enablement, self-service data science and AI capabilities. We do a lot of work around standing up custom AI services, in particular in the Microsoft Azure cloud. We make those services available through a variety of means, including through Posit Workbench. So we have two packages that are internal to Gen Re, written in R and Python, to enable access to a variety of those AI services. We're looking to enable businesses with modern AI tools and technologies to help them get started on reimagining business workflows, with AI at the center of that.

Chris Engelhardt

Sr. Data and AI Operations Manager, Gen Re

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Bridge open-source data science and enterprise IT requirements.

Power Professional Data Science: Integrate Posit Workbench with Azure ML Compute

Data science teams need flexible tools. IT teams need governance, security, and auditability. Posit Workbench runs Positron, RStudio, VS Code, and JupyterLab sessions on Azure ML Compute, so both teams get what they need without compromise. Integrate with Azure DevOps for Git-based deployment pipelines that automate testing, deployment, and scheduling. Authenticate via Microsoft Entra ID with SCIM-based user provisioning and role-based access controls across every Posit product.

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Governance and deployment via Posit on Azure

Posit Connect quickly deploys data apps, APIs, and reports. Posit Package Manager secures R and Python packages, blocking vulnerabilities. Connect's native containerization uses Cloud-Native Buildpacks for reproducible images without Dockerfiles. This platform, integrated with Azure Kubernetes Service, Microsoft Entra ID (for role-based access controls), and Azure DevOps, swiftly moves open-source data science to the cloud.

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