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.
"It can send out large data amounts."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The solution offers a free community version."
"The solution is very simple and stable."
"The setup is quite easy."
"The fast data loading process and data storage capabilities are great."
"I work in the data science field and I found Databricks to be very useful."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"The solution is really scalable."
"Their web interface is good."
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"I like being able to compare results across different training runs. The hyperparameter tuning function is a valuable feature because it provides the ability to run multiple experiments at the same time and compare results."
"The solution is very easy to use, so far as our data scientists are concerned."
"The product's standout feature is a robust multi-file network with limited availability."
"It's easy to deploy."
"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."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"We'd like a more visual dashboard for analysis It needs better UI."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"There is room for improvement in the documentation of processes and how it works."
"The initial setup time of the containers to run the experiment is a bit long."
"Technical support could improve their turnaround time."
"The regulatory requirements of the product need improvement."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
"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."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"There should be data access security, a role level security. Right now, they don't offer this."
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 48 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 Data Science Studio, 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 Data Science Studio. 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.