Cloudera Data Science Workbench vs. NVIDIA RAPIDS Comparison


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About Accelerate machine learning from research to production with a consistent experience built for your traditional platform. 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. 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.	About The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Data Science platform for companies	Audience Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
Support Phone Support Supported 24/7 Live Support Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported
Company Information Cloudera Founded: 2008 United States www.cloudera.com/products/data-science-and-engineering/data-science-workbench.html	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/rapids
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Categories Data Science Supported	Categories AI Infrastructure Supported Data Science Supported

Integrations Anaconda Not Supported Apache Spark Not Supported Capital One Spark Business Banking Not Supported Cloudera Supported Cloudera Data Platform Supported Databricks Not Supported Domino Enterprise AI Platform Not Supported Gradient Not Supported HEAVY.AI Not Supported HPE Ezmeral Data Fabric Not Supported IBM Cloud Not Supported IBM Db2 Big SQL Supported Iguazio Not Supported Kinetica Not Supported NVIDIA FLARE Not Supported Nuclio Not Supported Plotly Dash Not Supported Show More Integrations View All 3 Integrations	Integrations Anaconda Supported Apache Spark Supported Capital One Spark Business Banking Supported Cloudera Not Supported Cloudera Data Platform Not Supported Databricks Supported Domino Enterprise AI Platform Supported Gradient Supported HEAVY.AI Supported HPE Ezmeral Data Fabric Supported IBM Cloud Supported IBM Db2 Big SQL Not Supported Iguazio Supported Kinetica Supported NVIDIA FLARE Supported Nuclio Supported Plotly Dash Supported Show More Integrations View All 17 Integrations
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