When to choose data warehouse over database?

 The decision between a database and a data warehouse will depend on your specific needs and use case. Deciding between a database and a data warehouse largely depends on the specific needs of your organization and the type of data you're working with.

Some of the factors for consideration are:

Ø Data Volume:
When you have large volume of data (e.g., terabytes or more), then better to go for a data warehouse as data warehouses are optimized for handling large amounts of data.
Databases are designed to handle smaller amounts of data.

Ø Data Complexity:
If you are working with complex data that requires advanced querying and analysis, then, a data warehouse will be a better choice. Data warehouses can handle complex queries and data modelling.
Databases may not be equipped to handle the same level of complexity.

Ø Data Integration:
If you need to integrate data from multiple sources, a data warehouse may be the better choice. Data warehouses are designed to handle data from different sources and can help to consolidate and standardize data from different systems.

Ø Performance:
Data warehouses are better suited for analytical processing (OLAP).

If you need fast query performance for real-time applications, a database may be a better choice. Databases are optimized for transactional processing and can handle high volumes of requests quickly (OLTP).

Ø Cost:
Data warehouses are typically more expensive than databases.

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