A delta Lake combines the advantages of data lakes and data warehouses to create a scalable, cost-effective data lakehouse. Learn about delta lakes vs. data lakes, data lakehouses vs. data warehouses.
Delta Lake
A delta lake, an evolution of data storage, preserves the integrity of your original data without sacrificing the performance and agility required for real-time analytics, artificial intelligence (AI), and machine learning (ML) applications.
Data Lake
A data lake is a massive accumulation of raw data in multiple formats. The sheer volume and variety of information in a data lake can make analysis cumbersome and, without auditing or governance, the quality and consistency of the data can be unreliable.
Data Lakehouse
A data lakehouse combines the flexibility and scalability of a data lake with the structure and management features of a data warehouse in a simple, open platform.
Data Warehouse
A data warehouse gathers information from multiple sources, then reformats and organizes it into a large, consolidated volume of structured data that’s optimized for analysis and reporting. Proprietary software and an inability to store unstructured data can limit its usefulness.
