Best in the industry
February 08, 2022

Best in the industry

Jonatan Bouchard | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Databricks Lakehouse Platform (Unified Analytics Platform)

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.
  • 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
  • Make Data Scientist more efficient
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.

Do you think Databricks Lakehouse Platform (Unified Analytics Platform) delivers good value for the price?

Yes

Are you happy with Databricks Lakehouse Platform (Unified Analytics Platform)'s feature set?

Yes

Did Databricks Lakehouse Platform (Unified Analytics Platform) live up to sales and marketing promises?

Yes

Did implementation of Databricks Lakehouse Platform (Unified Analytics Platform) go as expected?

Yes

Would you buy Databricks Lakehouse Platform (Unified Analytics Platform) again?

Yes

95% of the time, my team will use Databricks on a daily basis. The remaining tools are the usual suspect from Microsoft Office.
Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them.
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.