Short answer: These products overlap, but they are designed around different primary jobs. The right choice depends less on a feature checklist than on the data model, users, workflows, and operating environment you need to support.
Both mWater and DHIS2 can support national programmes, but their starting points differ. mWater was designed around WASH and environmental field monitoring, persistent mapped sites and assets, surveys, and operational dashboards. DHIS2 is a configurable information platform with deep roots in national health information systems, aggregate reporting, tracker programmes, and institutionalized reporting hierarchies.
| Requirement | mWater | DHIS2 |
|---|---|---|
| WASH starting point | Water points, facilities, systems, assets, surveys, indicators, and WASH workflows | Generic configurable platform adapted through metadata, data sets, events, and tracker programmes |
| Geospatial fieldwork | Native mapped site registries, offline collection, repeat monitoring, photos, and asset hierarchies | Coordinates, maps, Android capture, events, and tracked entities; configuration determines the workflow |
| Routine reporting | Flexible surveys and indicators from site- or response-level data | Strong aggregate reporting through organization-unit hierarchies and established reporting cycles |
| Ecosystem | WASH-focused platform, public libraries, integrations, and optional implementation support | Large global implementer and national health-information ecosystem |
| Cost model | Free core hosted platform; optional paid services | Open-source software; implementation, hosting, configuration, and support require resources |
This does not have to be a winner-takes-all decision. mWater can manage the detailed WASH registry, field monitoring, and operational workflows while DHIS2 receives agreed indicators for cross-sector reporting. Conversely, health or disease data from DHIS2 can be integrated into mWater dashboards alongside water and sanitation coverage. A national architecture should specify authoritative systems, common geographic identifiers, indicator definitions, exchange frequency, and responsibility for corrections.
Review the official DHIS2 overview, the mWater platform overview, and mWater's guide to connecting to DHIS2. Evaluate both against a real national data model and field workflow rather than a generic demonstration.