Rishabh-Pandey
Databricks MVP

Delta Lake is an open-source storage layer that is designed to bring reliability to data lakes. It is built on top of Apache Spark and provides features such as ACID transactions, schema enforcement, and time travel. Delta Lake is essentially a storage format that provides a set of features for managing data in a data lake environment.

Delta tables, on the other hand, are tables that are created using the Delta Lake storage format. Delta tables are optimized for use in data lake environments and provide features such as ACID transactions, schema enforcement, and time travel. Delta tables are essentially a specific type of table that is built on top of the Delta Lake storage format.

In summary, Delta Lake is a storage layer that provides features for managing data in a data lake environment, while Delta tables are tables that are built on top of the Delta Lake storage format and provide optimized features for working with data in a data lake environment.

Rishabh Pandey