Compare Databricks vs. Microsoft Azure Machine Learning Studio

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Most Helpful Review
Find out what your peers are saying about Databricks vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: January 2021.
455,164 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

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"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure.""The most valuable feature is data normalization.""The UI is very user-friendly and that AI is easy to use.""The solution is very fast and simple for a data science solution.""Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.""The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses.""The AutoML is helpful when you're starting to explore the problem that you're trying to solve.""The interface is very intuitive."

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Cons
"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice.""The data cleaning functionality is something that could be better and needs to be improved.""When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers.""The solution should be more customizable. There should be more algorithms.""A problem that I encountered was that I had to pay for the model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer.""Integration with social media would be a valuable enhancement.""The AutoML feature is very basic and they should improve it by using a more robust algorithm.""The data preparation capabilities need to be improved."

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Pricing and Cost Advice
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.""The pricing depends on the usage itself.""I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself.""The price is okay. It's competitive."

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"When we got our first models and were ready for the user acceptance testing, our licensing fees were between €2,500 ($2,750 USD) and €3,000 ($3,300 USD) monthly.""From a developer's perspective, I find the price of this solution high."

More Microsoft Azure Machine Learning Studio Pricing and Cost Advice »

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Questions from the Community
Top Answer: The most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
Top Answer: Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.
Top Answer: The pricing and licensing are difficult to explain to clients. Their rationale for what things cost and why are not easy to explain.
Top Answer: I used Azure Machine Learning in a free trial and I had a complete preview of the service. A problem that I encountered was that I had a model that I wanted to deploy and use on Azure Machine… more »
Ranking
2nd
Views
20,571
Comparisons
17,575
Reviews
16
Average Words per Review
581
Rating
7.9
5th
Views
13,868
Comparisons
11,097
Reviews
10
Average Words per Review
561
Rating
7.6
Popular Comparisons
Compared 13% of the time.
Compared 10% of the time.
Compared 8% of the time.
Compared 5% of the time.
Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, RedashAzure Machine Learning
Learn
Databricks
Microsoft
Overview

Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.

It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.

Offer
Learn more about Databricks
Learn more about Microsoft Azure Machine Learning Studio
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, YeswareWalgreens Boots Alliance, Schneider Electric, BP
Top Industries
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider13%
Media Company8%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider16%
Energy/Utilities Company6%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business12%
Midsize Enterprise24%
Large Enterprise65%
REVIEWERS
Small Business46%
Midsize Enterprise8%
Large Enterprise46%
Find out what your peers are saying about Databricks vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: January 2021.
455,164 professionals have used our research since 2012.

Databricks is ranked 2nd in Data Science Platforms with 17 reviews while Microsoft Azure Machine Learning Studio is ranked 5th in Data Science Platforms with 10 reviews. Databricks is rated 8.0, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". Databricks is most compared with Amazon SageMaker, Azure Stream Analytics, Alteryx, Dataiku Data Science Studio and Google Cloud Datalab, whereas Microsoft Azure Machine Learning Studio is most compared with Alteryx, IBM Watson Studio, Amazon SageMaker, Dataiku Data Science Studio and KNIME. See our Databricks vs. Microsoft Azure Machine Learning Studio report.

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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.