Overall Satisfaction with Databricks Lakehouse 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
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