Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.
| Product | Mindshare (%) |
|---|---|
| Cloudera Data Science Workbench | 1.8% |
| Databricks | 9.3% |
| KNIME Business Hub | 6.8% |
| Other | 82.1% |
Cloudera Data Science Workbench was previously known as CDSW.
IQVIA, Rush University Medical Center, Western Union
| Author info | Rating | Review Summary |
|---|---|---|
| Program Management Lead Advisor at Unionbank Philippines | 3.0 | In our banking use case, we deploy machine learning models via Cloudera Data Science Workbench to identify customer life events and recommend card products efficiently. While the platform segregates environments well, its MLOps and pricing need improvement. |
| Associate Professor at a educational organization with 11-50 employees | 4.0 | I use Cloudera Data Science Workbench as a customizable, easy-to-use teaching tool, but its high RAM requirement limits student use on personal laptops. Scaling for 200 students is difficult, and I desire a student version with sample datasets. |
