Kedro vs. NVIDIA RAPIDS Comparison


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About Kedro is the foundation for clean data science code. It borrows concepts from software engineering and applies them to machine-learning projects. A Kedro project provides scaffolding for complex data and machine-learning pipelines. You spend less time on tedious "plumbing" and focus instead on solving new problems. Kedro standardizes how data science code is created and ensures teams collaborate to solve problems easily. Make a seamless transition from development to production with exploratory code that you can transition to reproducible, maintainable, and modular experiments. A series of lightweight data connectors is used to save and load data across many different file formats and file systems.	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 Supported Cloud Not 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 Organizations interested in a toolbox for production-ready data science	Audience Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
Support Phone Support Not Supported 24/7 Live Support Not 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 Free Free Version 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 Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported
Company Information Kedro kedro.org	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/rapids
Alternatives Metaflow Netflix	Alternatives NVIDIA Magnum IO NVIDIA
Polars	Cloudera Data Science Workbench Cloudera
Cegal Prizm Cegal	Azure Data Science Virtual Machines Microsoft
MLJAR Studio MLJAR	Domino Enterprise AI Platform Domino Data Lab
SAS Visual Data Science Decisioning SAS View All	dotData View All
Categories Data Science Supported	Categories AI Infrastructure Supported Data Science Supported

Integrations Apache Spark Supported Plotly Dash Supported Apache Airflow Supported Azure Machine Learning Supported Dask Supported Databricks Not Supported Docker Supported Gemini Enterprise Agent Platform Supported HEAVY.AI Not Supported IBM Cloud Not Supported Iguazio Not Supported Jupyter Notebook Supported Kinetica Not Supported Kubeflow Supported Matplotlib Supported NVIDIA FLARE Not Supported Nuclio Not Supported Python Supported pandas Supported Show More Integrations View All 15 Integrations	Integrations Apache Spark Supported Plotly Dash Supported Apache Airflow Not Supported Azure Machine Learning Not Supported Dask Not Supported Databricks Supported Docker Not Supported Gemini Enterprise Agent Platform Not Supported HEAVY.AI Supported IBM Cloud Supported Iguazio Supported Jupyter Notebook Not Supported Kinetica Supported Kubeflow Not Supported Matplotlib Not Supported NVIDIA FLARE Supported Nuclio Supported Python Not Supported pandas Not Supported Show More Integrations View All 17 Integrations
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