Databricks Room for Improvement

Tristan Bergh
Data Scientist at a consultancy with 10,001+ employees
The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment. Perhaps a few connectors that auto-deploy to a reporting server? More parallelized Machine Learning libraries would be excellent for predictive analytics algorithms. View full review »
Abhijith Dattatreya
Business Intelligence and Analytics Consultant at a tech services company with 201-500 employees
Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems. As it is now, we have to go into the driver logs to identify the error messages properly. There is not much information about Databricks available online, such as cost. Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful. I would like to see integration with Power BI or Tableau for the business users. They may use Databricks to check on things, but it will be a little bit complicated for them. The GUI interfaces for Tableau and Power BI are ones that they are used to, so the integration would help. View full review »
Alexandre Akrour
CEO at Inosense
Improvements could include the pricing, the product is a little expensive, although I think comparable to other similar options. The integration features could be more interesting, more involved. For example, we use the Database Notebook, which is not as great as Jupyter Notebook, for providing a great user experience. The look and feel are not the same and we've had complaints from some of our users. They say that it's easier and more productive for them to use Jupyter Notebook. And then there is the integration feature for connecting to data sources, for example, Jupyter Notebook through publishes connect. The problem is that when you do that, you don't get all the Jupyter features which is a shame for us. For additional features, having some PyTorch or TensorFlow type features inside would definitely be great. For now, my users are developing for themselves by importing their libraries into their Notebook and then creating models based on the potential flow of PyTorch. That requires a lot of imports, particularly library imports, something that is now available in the new version of Machine Learning services. These things are very important because the self appliance community has shifted from the traditional way of preparing models, to a deeper learning system. It's now more common to have those features. View full review »
Find out what your peers are saying about Databricks, Amazon, Microsoft and others in Data Science Platforms. Updated: November 2019.
384,324 professionals have used our research since 2012.
PankajGaikwad
Data Science Developer at a tech services company with 501-1,000 employees
Databricks should have more libraries for predictive analysis and machine learning. It should have more compatible and more advanced visualization and machine learning libraries. As it is now, I have to try a customer algorithm in order for things to be compatible. I would like to see more deep learning analytics. View full review »
Find out what your peers are saying about Databricks, Amazon, Microsoft and others in Data Science Platforms. Updated: November 2019.
384,324 professionals have used our research since 2012.
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