What do you like best about the product?

Databricks has the great ability to handle streaming data and integrate with Kafka. This is an essential feature for our organisation as we used Databricks to enhance our real time fraud detection system in the financial service sector. This has improved security and reduced fraud activities. The real time processing capabilities were also a crucial feature for our use case. Databricks also support multiple languages development, which is a key benefit for our organisation as we have both Python and Scala developers.

What do you dislike about the product?

During a critical phase of the project, we faced few challenges while optimising our Spark jobs. The user interface for cluster management could be improved, as we occasionally face delays when scaling clusters to handle large workloads.

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

Our logistic team used Databricks to optimise delivery routes by analysing traffic patterns, fuel consumption and delivery time. By optimising all these things we almost reduced delivery time by 20% and saved significant cost.