Databricks' release of Delta Lake has combined the best features of data lakes and data warehouses, creating what they call a "Lakehouse." This development brings together the cost advantages of data lakes with the efficient querying capabilities of traditional analytical databases. The ideal system should support multi-table transactions, table and column-level permissions, structured and semi-structured data, efficient joins, SQL and procedural programming languages, and advanced statistics. Regardless of whether this is called a cloud data warehouse, data lake, or relational database management system, the convergence between these two types of systems is significant for the future of data and analytics ecosystems.