It supports a lot of Python libraries where I can use some very easily." "Databricks' Lakehouse architecture has been most useful for us. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It is supporting open source languages, which are cloud-agnostic. "The ability to stream data and the windowing feature are valuable." "It can send out large data amounts." "Databricks is a unified solution that we can use for streaming. 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. 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.ĭatabricks and Azure Machine Learning Studio are both excellent, highly-regarded solutions. Microsoft Machine Learning Studio offers limited customizations a greater selection of algorithms is needed. Databricks can also be very costly as one scales up. 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. The solution is very scalable, with great flexibility.ĭatabricks needs samples and templates for users to see exactly what the solution can do. This is really an amazing low-code/no-code solution. This solution is very easy to use for teams with less experience and for those that are just getting started with the ML experience. They offer courses and certifications within the solution, which makes it very attractive and beneficial for many users. As this solution is cloud-based, start-up time is easy and super fast.Īzure Machine Learning Studio offers ready-made data samples and has some very useful modeling parameter settings. ![]() It is also very user-friendly, as not a lot of knowledge is needed to run it. This solution is very scalable and can process large amounts of data very quickly. ![]() It allows for migration from one environment to another with tremendous ease. It offers many different cluster choices and excellent integration with MLFlow. Some users also feel that Microsoft Azure Machine Learning Studio has better machine learning capabilities.Īnswer: Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. All other things being more or less equal, our reviewers found Databricks rather expensive to purchase. They also note that both solutions have great documentation.Ĭomparison of Results: Based on the parameters we compared, Microsoft Azure Machine Learning Studio seems to be a slightly superior solution.
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