Any period when data is missing, stale, wrong or otherwise can't be trusted — the data equivalent of a service outage.
Reviewed by Francisco Ferreira ·
Data downtime is any stretch of time when your data is partial, late, broken or simply wrong — and therefore can't be relied on. It's the data world's version of an outage, except it's usually invisible: the system stays up, the queries still return, and the numbers stay quietly wrong.
It's costly precisely because it's silent. Teams spend hours firefighting 'why is this number off,' trust in dashboards erodes, and decisions get delayed or made on bad inputs while the underlying break goes undiagnosed.
Tabkeel shrinks data downtime by catching the failure at the source — a stalled load, a null spike, a schema change — the day it happens, with the diagnosis query ready.