The best thing I want to highlight about Databricks is the overall efficiency and data handling capabilities which has been exceptional in our case, we have used databricks for almost 3 years and had not found anything blocking our data and engineering teams.

Talking about its features as an head of quality my primary focus was to ensure the Reliability and the accuracy and performance for our machine learning models since we are using massive data to feed them and databrics has done the job perfectly for our engineering and testing teams as well.

It has allowed us to enable quality control directly into the pipeline which has automated the set rules bad records automatically before the reach our models it has saved 63.5% time in total. Review collected by and hosted on G2.com.

I don't dislike anything about databrics it has done the job perfectly has have to trigger Ci Cd pipelines through github actions using the data bricks rest API has helped to implement shift left continuous testing forever AI workloads and the AI integrations and clean dashboards has been game changer in this. Review collected by and hosted on G2.com.