Category | Description | Open Source Edition | Professional Edition |
---|---|---|---|
Overview | Access the RStudio IDE from anywhere via a web browser | ||
Move computation close to the data | |||
Scale compute and RAM centrally | |||
Powerful coding tools to enhance your productivity | |||
Easily publish apps and reports | |||
Python Development | View Python data, publish and knit in Python and share objects with R | ||
Author and edit Python code with Jupyter Notebooks, JupyterLab and VSCode | |||
Easily publish and share Jupyter Notebooks | |||
Project Sharing | Share projects & edit code files simultaneously with others | ||
Multiple R Versions | Run multiple versions of R side-by-side | ||
Define environments for a particular R version | |||
Multiple R and Python Sessions | Run multiple analyses in parallel | ||
Load Balancing | Load balance R sessions across two or more servers | ||
Ensure high availability using multiple masters | |||
Administrative Dashboard | Monitor active sessions and their CPU and memory utilization | ||
Suspend, forcibly terminate, or assume control of any active session | |||
Review historical usage and server logs | |||
Enhanced Security | LDAP, Active Directory, Google Accounts and system accounts | ||
Full support for Pluggable Authentication Modules, Kerberos via PAM, and custom authentication via proxied HTTP header | |||
Encrypt traffic using SSL and restrict client IP addresses | |||
Auditing and Monitoring | Monitor server resources (CPU, memory, etc.) on both a per-user and system-wide basis | ||
Send metrics to external systems with the Graphite/Carbon plaintext protocol | |||
Health check with configurable output (custom XML, JSON) | |||
Audit all R console activity by writing input and output to a central location | |||
Advanced R Session Management | Tailor the version of R, reserve CPU, prioritize scheduling and limit resources by User and Group | ||
Provision accounts and mount home directories dynamically via the PAM Session API | |||
Automatically execute per-user profile scripts for database and cluster connectivity | |||
Data Connectivity | RStudio Professional Drivers are ODBC data connectors that help you connect to some of the most popular databases | ||
Launcher | Start processes within various systems such as container orchestration platforms | ||
Submit standalone ad hoc jobs to your compute cluster(s) to run computationally expensive R or Python scripts | |||
Tutorial API | Automate interactions with the RStudio IDE | ||
Remote Sessions | Connect to RStudio Workbench directly from RStudio Desktop Pro for more powerful computing resources, freeing up your local system |
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