Databricks Review

Better tailored code and automation capabilities needed, but easy to use

What is our primary use case?

Databricks can be used for large-scale data pre-processing and data transformations.

What is most valuable?

The solution is easy to use and has a quick start-up time due to being on the cloud.

What needs improvement?

The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration. There is a lot of code from places, such as GitHub, but it is not tailored for Databricks. It requires a lot of effort to bring the code to a level where it can be used with Databricks capabilities.

For how long have I used the solution?

I have been using Databricks for two months.

What do I think about the stability of the solution?

The solution is stable.

What do I think about the scalability of the solution?

Databricks is scalable.

How are customer service and technical support?

We did not have a need to use technical support.

How was the initial setup?

The installation is straightforward, and it took approximately one hour.

What about the implementation team?

We did the implementation and maintenance of the solution ourselves using approximately three engineers.

What's my experience with pricing, setup cost, and licensing?

The solution requires a subscription.

Which other solutions did I evaluate?

We are evaluating other solutions.

What other advice do I have?

I would recommend this solution for those wanting to process large data sets, but if it is to be used for smaller data sets, I would not recommend it.

I rate Databricks a five out of ten.

Which deployment model are you using for this solution?

Public Cloud
**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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