Kedro vs. Oracle Machine Learning 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 Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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 Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models
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 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 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 Supported Live Online Supported In Person Supported
Company Information Kedro kedro.org	Company Information Oracle Founded: 1977 United States www.oracle.com/data-science/machine-learning/
Alternatives Metaflow Netflix	Alternatives Oracle Data Science Oracle
Polars	Kraken Big Squid
Cegal Prizm Cegal	Rapidminer AI Studio Siemens
MLJAR Studio MLJAR	Google Cloud AutoML Google
SAS Visual Data Science Decisioning SAS View All	Oracle Data Miner Oracle View All
Categories Data Science Supported	Categories Data Science Supported Machine Learning Supported

Integrations Apache Spark Supported Amazon SageMaker Supported Apache Airflow Supported Azure Machine Learning Supported Dask Supported Docker Supported Gemini Enterprise Agent Platform Supported Impala Not Supported Jupyter Notebook Supported Kinetica Not Supported Kubeflow Supported Matplotlib Supported MySQL Not Supported Oracle Cloud Infrastructure Not Supported Oracle Database Not Supported Plotly Dash Supported PwC Check-In Not Supported Python Supported pandas Supported Show More Integrations View All 15 Integrations	Integrations Apache Spark Supported Amazon SageMaker Not Supported Apache Airflow Not Supported Azure Machine Learning Not Supported Dask Not Supported Docker Not Supported Gemini Enterprise Agent Platform Not Supported Impala Supported Jupyter Notebook Not Supported Kinetica Supported Kubeflow Not Supported Matplotlib Not Supported MySQL Supported Oracle Cloud Infrastructure Supported Oracle Database Supported Plotly Dash Not Supported PwC Check-In Supported Python Not Supported pandas Not Supported Show More Integrations View All 9 Integrations
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