BlogData & AI
Data warehouses vs operational databases
By Micah Ondiwa, Senior Software Engineer 1 min read
Operational systems run the business; a warehouse brings their data together for analysis without slowing them down.
Most organisations have several systems — finance, sales, operations — each with its own database. Reporting across them is where a data warehouse helps.
Operational databases
Designed for day-to-day transactions: recording a sale, updating stock. Running heavy reports on them can slow down the systems staff rely on.
Data warehouses
Copy data from operational systems on a schedule, clean it and structure it for analysis. Reports and dashboards run against the warehouse.
When you need one
- Reports combine data from several systems.
- Historical trends matter beyond what source systems keep.
- Reporting queries affect operational performance.
Start small
Begin with the data behind the most important reports, then expand. A modest database designed for reporting is often enough.
Govern definitions
The warehouse is where definitions — what counts as a customer, a sale, an active project — become consistent.
See our data engineering and analytics services.
About the author
Micah Ondiwa
Senior Software Engineer
Micah Ondiwa writes about software engineering — application architecture, APIs and integration, data and AI-assisted development, and reliable delivery.
