What do you like best about the product?

Databricks is one of the most easy to use product for data scientists and engineers. The collaborative workspace is a stand out feature of this product which allows our team to share notebooks, visualise data together and manage produts. My team used Databricks to build a predictive model for customer churn analysis. Features like AutoML accelerated model development and integration with Azure Data Lake made it easy to pull in live data streams.

What do you dislike about the product?

During an implementation project, our team struggled to configure cluster settings to optimise cost and performance. We wasted time troubleshooting issues because the documentation didn't provide clear guidance on this specific case.

What problems is the product solving and how is that benefiting you?

It's scalability has been a game changer for our organisation. By leveraging its cluster computing capabilities, we can handle large data set efficiently which enables quick analysis of project and provides valuable insights.