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 has helped us have a good presence in data."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"It is a cost-effective solution."
"Easy to use and requires minimal coding and customizations."
"It's great technology."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The setup is quite easy."
"It's very simple to use Databricks Apache Spark."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"The visualizations are great. It makes it very easy to understand which model is working and why."
"The UI is very user-friendly and that AI is easy to use."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"The AutoML is helpful when you're starting to explore the problem that you're trying to solve."
"It is a scalable solution…It is a pretty stable solution…The solution's initial setup process was pretty straightforward."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"It helps in building customized models, which are easy for clients to use."
"The product cannot be integrated with a popular coding IDE."
"Databricks can improve by making the documentation better."
"I would like more integration with SQL for using data in different workspaces."
"I would like it if Databricks made it easier to set up a project."
"The pricing of Databricks could be cheaper."
"There is room for improvement in visualization."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"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."
"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."
"The data preparation capabilities need to be improved."
"One area where Azure Machine Learning Studio could improve is its user interface structure."
"Enable creating ensemble models easier, adding more machine learning algorithms."
"The product must improve its documentation."
"Operability with R could be improved."
"It would be great if the solution integrated Microsoft Copilot, its AI helper."
"In the future, I would like to see more AI consultation like image and video classification, and improvement in the presentation of data."
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.