Here, we've split the most important discrepancies between database and data warehouse so you can highlight all aspects and select the one that meets the requirements of your data structure situation.

Data marts may be dependent on the data warehouse, independent of the data warehouse (i.e. drawn from an operational database or external source), or a hybrid of the two.

The database virtualization platform sits between applications and the new destination data warehouse. Like any virtualization technology, it decouples two otherwise tightly bonded components.

Data warehouse topology ends up multiplying data (creating governance issues, among other problems), but it does have the advantage of being convenient. Data warehouses are convenient in the sense ...

In 2014 it was Magic Quadrant for Data Warehouse Database Management Systems. In 2015 it was Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics.

Data from the production databases are copied to the data warehouse so that queries can be performed without disturbing the performance or the stability of the production systems.

Both databases and data warehouses consist of tables, indexes and keys, but unlike the former, warehouses are designed primarily to respond to critical analysis queries. Thus, maintaining a data ...

The first autonomous database, Oracle Autonomous Data Warehouse, available since March, is tuned for doing heavy analytics and reporting.