DHIS2-Ed
8.0#1 in learning analytics softwareFree planFree planAndroidWebAPISelf-hosted
VisitDHIS2-Ed vs Open Education Analytics
Open Education Analytics
5.5#15 in learning analytics softwareAPISelf-hosted
VisitWhat both publish
| Fact | DHIS2-Ed | Open Education Analytics |
|---|---|---|
| Integrations | DHIS2 for Education can exchange data with public health programs and other sectors using DHIS2, and can integrate with existing software and data sources. | OEA describes using Power BI for visualizations and reports, Power Apps for automated actions, and Dynamics 365, Office 365, or Microsoft Teams for data-driven actions. |
| Intended users | The platform is presented for ministries and educational institutions seeking to improve education data use and evidence-based decision-making. | The site identifies education system leaders, education researchers, data scientists, data project managers, and data engineers as people who can benefit from OEA. |
| Purpose | DHIS2-Ed is an education management information system for collecting, analyzing, visualizing, and using data from educational institutions. | Open Education Analytics (OEA) is an open-source community that helps education systems use data, analytics, and AI to improve learning outcomes. |
DHIS2-Ed plans
- DHIS2-EdFree
- DHIS2 softwareFree
- Shared Services Fee – public sector, low-income country$5,000 a year
- Shared Services Fee – public sector, lower-middle-income country$10,000 a year
- Shared Services Fee – public sector, upper-middle-income country$20,000 a year
- Shared Services Fee – public sector, high-income country$30,000 a year
Open Education Analytics plans
No prices published.
Pick DHIS2-Ed if…
DHIS2-Ed suits ministries and educational institutions seeking to make greater use of education data for evidence-based decisions. It is also a fit for organizations that can provide the required server, devices, and periodic internet access.
Pick Open Education Analytics if…
OEA suits education system leaders, researchers, data scientists, project managers, and data engineers planning analytics or AI use cases. It is aimed at teams that can manage their own data governance and deployment in Azure.