Accelerate AI and 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
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. Cloudera Data Science Workbench provides connectivity not only to Cloudera 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 and AI projects and easily deploy them to production.
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.
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 AI platform, deployed anywhere
Cloudera Data Science Workbench is built for traditional on-premises deployments and shares a consistent experience with Cloudera AI (formerly known as Cloudera Machine Learning)—Cloudera's cloud-native service on cloud and on premises.
What customers say about Cloudera Data Science Workbench
“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
“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
“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