Data Warehouse vs Data Lake vs Data Lakehouse: Definitions, Similarities, and Differences

A comparison of three data storage architectures: data warehouses (built for structured data and analytics, from vendors like Amazon Redshift, Google BigQuery, and Snowflake), data lakes (for raw and unstructured data supporting machine learning and data science), and data lakehouses (a hybrid combining ACID transactions, SQL, and schema with diverse data types). It notes that leaders like Databricks and Snowflake keep blurring the lines through innovations like Delta Lake, Unity Catalog, and Iceberg tables.