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What’s the difference between data warehouse vs. database?

Uptime flexibility

Standard databases need to be available almost all the time for organizations. So, their uptime availability needs to be close to 100 percent. For example, a library would have to close early if its database went down before its usual closing time.

However, data warehouses have greater uptime flexibility as they are not linked to front-end operations like standard databases are. Organizations’ data warehouses can go down almost once a day if needed to refresh data from their sources.

Concurrent user base

Standard databases support a much wider concurrent user base than data warehouses as they’re often linked with transactions. So, they’re designed to support potentially thousands of concurrent users.

Data warehouses aren’t connected with transactions and are usually required to process much more detailed queries. Therefore, they can’t support as many concurrent users as their queries are usually much more system resource-heavy.


Jet Enterprise (Analytics) data warehouse vs database

Most users will be more familiar with database applications that are usually a part of office suites, such as MS Office and LibreOffice. Applications like MS Access enable users to set up relational databases with multiple linked data tables. However, you can’t set up data warehouses with relational database software.

To set up a data warehouse, you’ll need dedicated data warehouse software. Software like Jet Analytics provides users with pre-built data warehouses that incorporate extensive report library templates for displaying data.

Those are the five main differences between databases and data warehouses. Although not as essential as databases, data warehouses are invaluable extensions of them for organizations that need to analyze their data in greater detail.

This post was written by Matthew Adams and was first posted to WindowsReport

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