Databricks Lakehouse Platform: A 2-year user review
March 09, 2023
Databricks Lakehouse Platform: A 2-year user review
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Databricks Lakehouse Platform (Unified Analytics Platform)
I use Databricks Lakehouse Platform to build a data-science based solutions that adress many problems in my business. This includes: increment our data in the lake house and use Databricks Lakehouse Platform computational capabilities to analyze and feature engineer our data, build different machine learning model and track different experiment and finally register our trained model that can be used by the business.
- MLFLOW Experiment
- MLFLOW Registry
- Databricks Lakehouse Platform Notebook
- Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
- Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
- Visualization in MLFLOW experiment can be enhanced
- Databricks Lakehouse Platform Notebook
- MLFLOW Experiment
- MLFLOW Registry
- Process huge amount of data
- Building ML models that deals with big data
Do you think Databricks Data Intelligence Platform delivers good value for the price?
Yes
Are you happy with Databricks Data Intelligence Platform's feature set?
Yes
Did Databricks Data Intelligence Platform live up to sales and marketing promises?
Yes
Did implementation of Databricks Data Intelligence Platform go as expected?
Yes
Would you buy Databricks Data Intelligence Platform again?
Yes