Enterprises should consider both current and likely future requirements
Data observability products have a tall order to fill. They must scale to support high volumes of varied data across heterogeneous environments while still satisfying real-time business demands. They must alert stakeholders to critical issues by extracting clear signals from lots of confusing noise. Data observability tools also must help enterprises demonstrate compliance with internal policies and external regulations, in particular those related to the handling of personally identifiable information (PII.)
To overcome these challenges, Eckerson Group recommends that enterprises evaluate data observability tools according to five criteria: breadth of functionality, performance and scale, ease of use, open architecture, and governance. In each case enterprises should consider both current and likely future requirements.