Many a times, Data Lakes are also perceived as Data Warehouses. Both Data Lake and Data Warehouse have different objectives to be achieved in an enterprise. Some of the key difference are shown here:
| Data Lake | Data Warehouse |
| Captures all types of data and structures, semi-structured and unstructured in their most natural form from source systems | Captures structured information and processes it as it is acquired into a fixed model defined for data warehouse purposes |
| Possesses enough processing power to process and analyze all kinds of data and have it analyzed for access | Processes structured data into a dimensional or reporting model for advanced reporting and analytics |
| A Data Lake usually contains more relevant information that has good probability of access and can provide operational needs for an enterprise | A Data Warehouse usually stores and retains data for long term, so that the data can be accessed on demand |
DATASCIENCEVERSITY 