Azure Machine Learning vs Databricks
Overview
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Detailed Comparison
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning. | Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications. |
Designed for new and experienced users;Proven algorithms from MS Research, Xbox and Bing;First class support for the open source language R;Seamless connection to HDInsight for big data solutions;Deploy models to production in minutes;Pay only for what you use. No hardware or software to buy |
Built on Apache Spark and optimized for performance;
Reliable and Performant Data Lakes;
Interactive Data Science and Collaboration;
Data Pipelines and Workflow Automation;
End-to-End Data Security and Compliance;
Compatible with Common Tools in the Ecosystem;
Unparalled Support by the Leading Committers of Apache Spark |
Statistics | |
Stacks 241 | Stacks 525 |
Followers 373 | Followers 768 |
Votes 0 | Votes 8 |
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What are some alternatives to Azure Machine Learning, Databricks?
Google Analytics
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Mixpanel
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Piwik
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Clicky
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NanoNets
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Plausible
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Inferrd
It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.
userTrack
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Quickmetrics
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Matomo
It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.
