Databricks Unified Analytics Platform Reviews

Databricks should come with a fine grained access control mechanism. If I have tables or views created then access mechanism should be able to restrict access to certain tables or columns based on the logged in user

There should be improved graphing and dash boarding provided from within Databricks

Better integration with AWS could help me code jobs in Databricks and run them in AWS EMR more easily using better devops pipelines

Better Localized Testing

When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.

Graphing Support went non-existent; when it was one of their compelling general engine.

Automation of Machine Learning Development

Optimization of GPU usage

The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com

Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.

Visualization - Great area of improvement

Integration with Git

COST