Which service in the Databricks Lakehouse Platform provides a data warehousing experience?

Databricks SQL is the service within the Databricks Lakehouse Platform that provides a data warehousing experience. This service is specifically designed to handle complex queries and offers a SQL interface that allows users to perform analytics on large amounts of data stored within the Lakehouse. Databricks SQL optimizes query performance, enabling fast access to data and efficient processing, similar to traditional data warehousing solutions.

This service is tailored for users who are familiar with SQL and provides advanced features such as dashboards, visualizations, and the ability to query data directly, making it an ideal choice for data analysts and business intelligence teams looking to derive insights from their data.

In contrast, DataFrames, while useful for data manipulation in Spark and providing a programming interface to work with structured data, do not inherently offer a data warehousing experience. Databricks Notebooks are primarily for collaborative development and data exploration, allowing users to combine code, visualizations, and comments but are not focused on data warehousing functionality. Databricks Real-time Streaming is designed for processing and analyzing streaming data, which is a different use case altogether.