We performed a comparison between Databrick and Microsoft Azure Machine Learning Studio based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison of Results: Based on the parameters we compared, Microsoft Azure Machine Learning Studio seems to be a slightly superior solution. All other things being more or less equal, our reviewers found Databricks rather expensive to purchase. Some users also feel that Microsoft Azure Machine Learning Studio has better machine learning capabilities.
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Ability to work collaboratively without having to worry about the infrastructure."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"The solution is really scalable."
"The interface is very intuitive."
"The graphical nature of the output makes it very easy to create PowerPoint reports as well."
"The most valuable feature is data normalization."
"The most valuable feature is its compatibility with Tensorflow."
"The solution is scalable."
"Their web interface is good."
"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."
"There is room for improvement in the documentation of processes and how it works."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"It's not easy to use, and they need a better UI."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"The pricing of Databricks could be cheaper."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"The product should provide more advanced features in future releases."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"I personally would prefer if data could be tunneled to my model through a SAP ERP system, and have features of Excel, such as Pivot Tables, integrated."
"Microsoft Azure Machine Learning Studio could improve in providing more efficient and cost-effective access to its tools for companies like mine."
"The initial setup time of the containers to run the experiment is a bit long."
"The solution should be more customizable. There should be more algorithms."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"We can create a label job, but we still have to use the Azure Machine Learning REST APIs, which are not yet supported in the Python SDK version 2."
"It would be nice if the product offered more accessibility in general."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 53 reviews. Databricks is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". 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, Informatica PowerCenter, Dataiku, Dremio and Azure Stream Analytics, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Azure OpenAI, TensorFlow, Google Cloud AI Platform and Dataiku. 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.