We use the solution for reliability engineering, where we apply ML and Deep Learning models to identify the fear failure patterns across different geographies and products.
Databricks Data Intelligence Platform
Databricks, Inc.External reviews
746 reviews
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Cloud resources limit 11
Hi Databricks team
I want to increase AWS Databricks Cloud resources limit. We have limit Cloud resources 11 and VPC limit 5.
Databricks Plan Premium.
1. Storage configuration
2. Credential configuration.
Kindly share the process to increase.
If anything, you need from my side please let me know.
Easy to collaborate with other team members who are working on it
What is our primary use case?
What is most valuable?
Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy.
What needs improvement?
Databricks would have more collaborative features than it has. It should have some more customization for the jobs. Also, it has an average dashboarding tool. They can bring advanced features so we don't depend on other BI tools to build a dashboard. We are using Tableau to create a dashboard. If Databricks has more advanced features, we can entirely use Databricks.
For how long have I used the solution?
I have been using Databricks for one year.
What do I think about the stability of the solution?
The product is stable. It has been giving consistent outputs without any major issues.
What do I think about the scalability of the solution?
The solution is hosted on the cloud. It supports high scalability features.
10-20 users are using this solution.
How are customer service and support?
There was a training session from Databricks where they explained how to use it. We never had to contact them because they had already given us proper training on the platform.
Which solution did I use previously and why did I switch?
I have used Alteryx before. We switched to Databricks because it can compute and turn your code into production-ready code in very few seconds. Also, the stability is relatively high.
How was the initial setup?
The initial setup is easy.
What about the implementation team?
We have a dedicated team for the deployment.
What other advice do I have?
Delta Lake is a free system. We practically work on the data that we get from Snowflake. Databricks are returned to the model outputs that are returned to Delta Lake. It is easy for us to collaborate using Delta Lake, and the computation speed is also quite high for Delta Lake.
The learning curve for Databricks is not very steep. It's pretty easy, and you will find a lot of materials online. So, if you are comfortable coding in Python, it's very straightforward. There is nothing to worry about when using Databricks.
Overall, I rate the solution a ten out of ten.
Great product
I've been using Databricks for over a year and it's really easy to work with files sitting on the Data Lake and building the "data warehouse" right there, with the possibility to do analysis and ML within the same platform.
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