Item: Databricks Lakehouse Platform
Rating: 9
Author: Jonatan Bouchard

Use Cases and Deployment Scope

This product is used for Data Science project development, from data analysis/wrangling to feature creation, to training, to finetuning and to model test and validation, and finally to deployment. While Databricks is used by many users, we also use GitHub and code Q/A to promote a code in production. This is one of the advantages of Databricks is the integration part, not only Git but whether you use it on Azure or AWS, you can also leverage the power of the integrated Machine Learning in those platforms, such as auto ml or Azure ML.

Pros and Cons

Data Science code agnostic (SQL, R, Pyton, Pyspark, Scala)
Customer Service with REAL support from data eng. and data scientist
Integration with many technology : Tableau, Azure, AWS, Spark, etc.

Visualization
Collaboration

Return on Investment

Make Data Scientist more efficient

Key Insights

Do you think Databricks Lakehouse Platform delivers good value for the price?

Yes

Are you happy with Databricks Lakehouse Platform's feature set?

Yes

Did Databricks Lakehouse Platform live up to sales and marketing promises?

Yes

Did implementation of Databricks Lakehouse Platform go as expected?

Yes

Would you buy Databricks Lakehouse Platform again?

Yes

Likelihood to Recommend

Currently the best Data Science tool for a large-scale company that needs strong tech support once and a while. The performance and the connectivity/integration with a large bread of tools and platform is also important when you don't want to change all your stack. DataBricks is a great non-drage and drops tool for real Data Scientist that knows their things.

Support Rating

One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.

Usability

95% of the time, my team will use Databricks on a daily basis. The remaining tools are the usual suspect from Microsoft Office.

Best in the industry

Overall Satisfaction with Databricks Lakehouse Platform