Very elastic, easy to scale, and a straightforward setup
What is our primary use case?
We work with clients in the insurance space mostly. Insurance companies need to process claims. Their claim systems run under Databricks, where we do multiple transformations of the data.
Pros and Cons
"It's easy to increase performance as required."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
What other advice do I have?
There isn't really a version, per se. It's a popular service. I'd recommend the solution. The solution is cloud-agnostic right now, so it really can go into any cloud. It's the users who will be leveraging installed environments that can have these services, no matter if they are using Azure or Ubiquiti, or other systems. I don't think you can find any other tool or any other service that is faster them Databricks. I don't see that right now. It's your best option. Overall, I'd rate the solution eight out of ten. The reason I'm not giving it full marks is that it's expensive compared to open…