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Looking for cloud-native machine learning on CDP? Visit Cloudera Machine Learning

Accelerate machine learning from research to production with a consistent experience built for your traditional platform.

For data scientists

  • Experiment faster. Use R, Python, or Scala with on-demand compute and secure access to Apache Spark™ and Apache Impala™

  • Work together. Share reproducible research with your whole team

  • Deploy with confidence. Get to production repeatably and without recoding

For IT professionals

  • Bring data science to your data. Give your team more freedom while reducing the risk and cost of silos

  • Secure by default. Leverage common security and governance across workloads

  • Flexible deployment. Runs in your traditional on-premises environment

Self-service data science screenshot

Self-service data science

With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench (CDSW) 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. Cloudera Data Science Workbench provides connectivity not only to CDH and HDP but also to the systems your data science teams rely on for analysis.

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 and easily deploy them to production.

Job screenshot

Quickly deploy models and interactive visual apps

A single, unified workflow lets you build, train, and deploy your own models. Experiments track each training run for easy reproducibility.  Deploy models as REST APIs with a few clicks, and quickly share visual results with business stakeholders as interactive web apps and dashboards.

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data science workflow screenshot

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.

One machine learning platform deployed anywhere

Cloudera Data Science Workbench is built for traditional on-premises deployments and shares a consistent experience with CDP Machine Learning—Cloudera's cloud-native machine learning service for public and private cloud.


Cloudera Data Science Workbench Datasheet


Deploying models and interactive apps

What customers say about Cloudera Data Science Workbench

Gartner PeerInsights
Gartner five stars

“Great tool, I have worked and deployed two projects making predictions and transactions of hundreds of millions of records. Creating automated jobs that run the models is also very easy.”

Data Scientist
Services Industry

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Gartner five stars

“Easy path to develop and test code as well as ML performance tracking. Also provides support to validate real time scoring services using restAPI endpoints.”

Big Data And Analytic Architect
Miscellaneous Industry

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Gartner five stars

“This tool offers my company fast data mining capabilities. It is easy to use and easy to maintain. Model management helps us deploy models fast.”

Technical assistant
Finance Industry

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Contact us for a demo

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