We performed a comparison between Cloudera Data Science Workbench and Google Cloud Datalab based on real PeerSpot user reviews.Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
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.
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
Cloudera Data Science Workbench is ranked 17th in Data Science Platforms while Google Cloud Datalab is ranked 16th in Data Science Platforms. Cloudera Data Science Workbench is rated 0.0, while Google Cloud Datalab is rated 0.0. On the other hand, Cloudera Data Science Workbench is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Anaconda and KNIME, whereas Google Cloud Datalab is most compared with Databricks, Microsoft Azure Machine Learning Studio, IBM Watson Studio, IBM SPSS Modeler and IBM SPSS Statistics.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.