Accelerate data science from exploration to production using R, Python, Spark and more
Secure for the enterprise
Cloudera Data Science Workbench is secure and compliant by default, with support for full Hadoop authentication, authorization, encryption, and governance. Finally, data scientists can easily access Hadoop data and run Spark queries in a safe environment.
Self-service data science
With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop.
Automated data and analytics pipelines
Cloudera Data Science Workbench lets data scientists manage their own analytics pipelines, including built-in scheduling, monitoring, and email alerting. Quickly develop and prototype new machine learning projects before deploying to production.
Multi-tenant and ready for the cloud
Break down analytic silos and drive more value from your enterprise data hub, whether on-premises or in the cloud. Collaborative, shareable project environments ensure that diverse data science teams can work together towards standard, reproducible research.