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Compare Databricks vs. Microsoft Azure Machine Learning Studio

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Comparison Summary
Question: Which do you prefer - Databricks or Azure Machine Learning Studio?
Answer: Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with MLFlow. It allows for migration from one environment to another with tremendous ease. This solution is very scalable and can process large amounts of data very quickly. It is also very user-friendly, as not a lot of knowledge is needed to run it. As this solution is cloud-based, start-up time is easy and super fast. Azure Machine Learning Studio offers ready-made data samples and has some very useful modeling parameter settings. They offer courses and certifications within the solution, which makes it very attractive and beneficial for many users. This solution is very easy to use for teams with less experience and for those that are just getting started with the ML experience. This is really an amazing low-code/no-code solution. The solution is very scalable, with great flexibility. Databricks needs samples and templates for users to see exactly what the solution can do. Overall integration with other products could be better, and many times the error messages we have received have been vague and ambiguous, making it challenging to debug and thereby slowing down the overall process. Databricks can also be very costly as one scales up. Microsoft Machine Learning Studio offers limited customizations; a greater selection of algorithms is needed. If you want to go beyond the Microsoft Azure ecosystem, this may not be the best solution for you, as migration with other products can prove problematic. Conclusions Databricks and Azure Machine Learning Studio are both excellent, highly-regarded solutions. As our enterprise needs are very diverse, we found that each of these solutions offers attractive options that we can use simultaneously in successfully meeting our overall client needs.
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Find out what your peers are saying about Databricks vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2021.
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Quotes From Members

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

"The solution is easy to use and has a quick start-up time due to being on the cloud.""The main features of the solution are efficiency.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The fast data loading process and data storage capabilities are great.""I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job.""Automation with Databricks is very easy when using the API.""The time travel feature is the solution's most valuable aspect.""The integration with Python and the notebooks really helps."

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"The UI is very user-friendly and that AI is easy to use.""The initial setup is very simple and straightforward.""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 ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout.""The AutoML is helpful when you're starting to explore the problem that you're trying to solve.""The solution is very fast and simple for a data science solution.""I like that it's totally easy to use. They have an AutoML solution, and their machine learning model is highly accurate. They also have a feature that can explain the machine learning model. This makes it easy for me to understand that model.""Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."

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"Implementation of Databricks is still very code heavy.""Anyone who doesn't know SQL may find the product difficult to work with.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.""There are no direct connectors — they are very limited.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists.""I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."

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"The solution should be more customizable. There should be more algorithms.""n the solution, there is the concept of workspaces, and there is no means to share the computing infrastructure across those workspaces.""The data processor can pose a bit of a challenge, but the real complexity is determined by the skill of the implementation team.""I think they should improve two things. They should make their user interface more user-friendly. Integration could also be better. Because Microsoft Machine Learning is a Microsoft product, it's fully integrated with Microsoft Azure but not fully supported for other platforms like IBM or AWS or something else.""There should be data access security, a role level security. Right now, they don't offer this.""The interface is a bit overloaded.""They should have a desktop version to work on the platform.""I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system."

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Pricing and Cost Advice
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery.""The solution requires a subscription.""The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable.""Databricks uses a price-per-use model, where you can use as much compute as you need.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""The pricing depends on the usage itself.""The price is okay. It's competitive."

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"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs.""The licensing cost is very cheap. It's less than $50 a month.""From a developer's perspective, I find the price of this solution high.""There is a license required for this solution."

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Questions from the Community
Top Answer: Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
Top Answer: We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It… more »
Top Answer: Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
Top Answer: The initial setup is very simple and straightforward.
Top Answer: The licensing cost is very cheap. It's less than $50 a month would costs for multiple users.
Top Answer: It's the first software that I've used in terms of machine learning. Therefore, I don't have anything to compare it to, however, it was okay for me. I didn't have any problems or anything. Maybe it… more »
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Also Known As
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Azure Machine Learning, MS Azure Machine Learning Studio
Learn More

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.

Learn more about Databricks
Learn more about Microsoft Azure Machine Learning Studio
Sample Customers
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Walgreens Boots Alliance, Schneider Electric, BP
Top Industries
Financial Services Firm18%
Computer Software Company18%
Mining And Metals Company18%
Energy/Utilities Company9%
Computer Software Company27%
Comms Service Provider15%
Financial Services Firm8%
Media Company5%
Financial Services Firm14%
Recruiting/Hr Firm14%
Computer Software Company14%
Energy/Utilities Company14%
Computer Software Company24%
Comms Service Provider18%
Energy/Utilities Company6%
Financial Services Firm6%
Company Size
Small Business12%
Midsize Enterprise19%
Large Enterprise69%
Small Business25%
Midsize Enterprise18%
Large Enterprise57%
Small Business30%
Midsize Enterprise10%
Large Enterprise60%
Find out what your peers are saying about Databricks vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2021.
555,139 professionals have used our research since 2012.

Databricks is ranked 2nd in Data Science Platforms with 25 reviews while Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 16 reviews. Databricks is rated 8.0, while Microsoft Azure Machine Learning Studio is rated 7.8. 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 "Has the ability to do templating and transfer it so that we can do multiple types of models and data mining". Databricks is most compared with Amazon SageMaker, Azure Stream Analytics, Alteryx, Dataiku Data Science Studio and Dremio, whereas Microsoft Azure Machine Learning Studio is most compared with Dataiku Data Science Studio, IBM Watson Studio, Alteryx, KNIME and Amazon SageMaker. See our Databricks vs. Microsoft Azure Machine Learning Studio report.

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