Graph, spatial and document data

Storing and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is retrieval-augmented generation.

Overview

Storing and querying data that is not plain rows, such as a network of relationships, a geometry or a JSON document, in the database that already holds the rows instead of in a separate store per model. Free-text search over entities is search; similarity over embeddings is RAG on CDS.

SAP SHIPS

SAP HANA Cloud holds JSON documents in a document store queried with SQL functions such as JSON_TABLE, defines a graph over existing tables as a graph workspace deployed as an hdbgraphworkspace artifact, and computes on geometries with spatial methods such as ST_Distance, deployed through HDI from the same project as the relational tables.

Not covered: At HANA SQL. Each model is reached through HANA's own SQL functions, HDI artifacts and procedures, so none of it carries over to another database.

The three repositories answering this in the batch are SAP-samples examples and hands-ons, which demonstrate rather than provide, so core-only reads what SAP HANA Cloud ships. where_it_stops is a assessment of those sources, which show every model through HANA-specific SQL; no page was checked that states it.

THE COMMUNITY ADDS

No community artifact is documented here.

Artifacts

Nothing is mapped here yet.

Content7

Group by
Piece, what it offers
SAP BDC in Business AI Platform: Contextualize and Reason
YouTube — SAP Developers playlists, SAP Developers, Talk
Building your knowledge graph on SAP HANA Cloud
YouTube — SAP Developers playlists, SAP Developers, Talk
SAP HANA Cloud as an Esri Geodatabase
SAP Architecture Center, SAP Architecture Center, Reference architectureThe reasoningA reference
Show 4 more
Unlock predictive and generative AI with your data in SAP HANA Cloud
SAP TechEd — session catalogue, TalkThe reasoning
Agentic memory: Knowledge graph engine and recall in SAP HANA Cloud
SAP TechEd — session catalogue, Markus Fath, TalkThe reasoning
Knowledge graph and agent memory: Build an agent that remembers
SAP TechEd — session catalogue, Markus Fath, Thomas Hammer, TalkA recipe
Build your custom knowledge layer with SAP HANA Cloud
SAP TechEd — session catalogue, Sebastian Schmidt, TalkThe reasoning

Seen working4

ArtifactSignals
Samples4
hana-graph-examplesSQL scripts and a notebook for SAP HANA's built-in graph algorithms
none
SAP-samples/hana-cf-get-started-trialStarting project for a tutorial on NoSQL, graph and spatial in HANA
none
teched2023-DA263TechEd 2023 session on SAP HANA features over HDI
none
teched2025-DA261TechEd 2025 workshop on SAP HANA Cloud's AI capabilities
none

Details

Coverage
statecore only, BTP/BAIP
assessed
For your agent
Ref
capability:multi-model-data
JSON
/capabilities/multi-model-data.json
MCP
Connecting an agent