There are some key differences between the graph capabilities in SAP HANA Cloud and the new announcement SAP Datasphere knowledge graph:
1. SAP HANA Cloud has had a powerful graph engine for analyzing complex relationships in business data for a while now. It allows creating graph workspaces from existing tables/views, querying graphs using openCypher, writing custom graph algorithms, and visualizing graphs.
https://community.sap.com/t5/technology-blogs-by-sap/sap-hana-graph-resources/ba-p/13505490
https://www.youtube.com/watch?v=oaSQu9laYKE
2. Datasphere Creating knowledge graphs manually is very costly, so SAP Datasphere comes to help by automatically pre-populating them using content already available in SAP Datasphere like connections to source systems, tables, foreign keys etc. SAP Datasphere knowledge graph is a new capability announced in March 2024. As data is onboarded and integrated into SAP Datasphere, it automatically creates an ontology representing the relationships in the data, including business context from SAP sources like S/4HANA
caption by SAP. Currently in Preview
https://www.youtube.com/watch?v=PQrFjthwOWQ&t=169
https://news.sap.com/2024/03/future-of-data-driven-business-new-sap-datasphere-capabilities/
Conclusion
While the SAP HANA Cloud graph is more for custom graph algorithm development and analysis, the SAP Datasphere knowledge graph is an automated capability that provides a rich context for generative AI use cases by capturing complex data relationships and metadata. The two serve different but complementary purposes in the SAP data and analytics portfolio.
Additional information:
https://www.linkedin.com/pulse/how-use-sap-hana-cloud-graph-model-analyze-complex-your-holitschke
https://community.sap.com/t5/technology-blogs-by-sap/sap-hana-graph-resources/ba-p/13505490
https://community.sap.com/t5/technology-q-a/native-hana-vs-sap-datasphere-findings/qaq-p/12689997
https://developers.sap.com/group.hana-aa-graph-overview.html
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