
Microsoft Azure Daily Rates in Munich, Germany
Compare the average daily rate of a freelance Microsoft Azure expert with related technologies and cities in Munich, Germany, calculated live from the freelancers on FRATCH.
How Microsoft Azure rates compare with related technologies
See how closely related specialisations compare on price — every figure is calculated live from the freelancers on FRATCH.
Among the 7 related technologies compared, average daily rates range from:
700 € for Azure Data Factory → 947 € for Azure Machine Learning
Microsoft Azure averages:
816 € per day
What the benchmark shows
With an average daily rate of 816 €, Microsoft Azure sits mid-field in this comparison — 2 of the compared technologies above it, 5 below. Sharper specialisations tend to settle above the technology, broader ones below.
Frequently asked questions
What clients ask us most about Microsoft Azure — answered in short.
The average daily rate for Microsoft Azure in Munich, Germany is 816 € with a median of 800 €, based on an 8-hour working day — that corresponds to an average of 102 € per hour.
Based on the average daily rate of 816 €, a full-time month of 21 working days corresponds to about 17,131 € — the underlying hourly rate is 102 €.
The average of 816 € sits about 16 € per day above the median of 800 € (102 € versus 100 € per hour): a smaller number of high-priced specialists pulls the average up, while the median marks the typical middle of the market — half of the freelancers charge less, half charge more.
Among the 7 related technologies compared, average daily rates range from 700 € for Azure Data Factory up to 947 € for Azure Machine Learning — that is 88 € to 118 € per hour.
Azure Machine Learning currently averages 947 € per day (118 € per hour), about 132 € per day above the rate for Microsoft Azure.
Azure Data Factory currently averages 700 € per day (88 € per hour), about 116 € per day below the rate for Microsoft Azure.
All figures are calculated live from the hourly rates of the freelancers on FRATCH matched to Microsoft Azure and its related technologies and locations; daily rates assume an 8-hour working day. The average is a weighted mean with outliers trimmed, the median is the middle value of the individual rates, and both refresh continuously as freelancer profiles change.
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