ServiceServiceA BTP service you subscribe to and bind, rather than install. It has plans and regions, not versions, and may deliver a product that lives outside the atlas.See every one →What this type is →by SAPby SAPPublished by SAP itself. A visible facet, never an input to a reading — a dormant official plugin reads exactly like a dormant independent one.See every one →
SAP HANA Cloud
The managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.
It is the least visible entry on this door and the one most things depend on. A CAP service deployed to BTP runs against it by default, which is why @cap-js/hana@cap-js/hanaThe HANA database service — the production default, on the same streamlined architecture as the SQLite and PostgreSQL services.sap official, cap exists and why the choice of any other database is a decision worth naming. The documentation is organised by component rather than as one product, so what you provision is a set of parts and a plan.
Where it sits
Lives in
Provides
Database connectorsBTPCAPDatabase connectorsConnecting an application’s data model and queries to a database, including the differences in supported queries, types and schema management between database implementations. Changing an existing schema belongs to [schema evolution](capability:schema-evolution).Retrieval-augmented generationBTPCAPRetrieval-augmented generationGrounding a model's answer in data retrieved at question time: text split into chunks, each chunk embedded as a vector, and the chunks nearest to the question placed into the prompt. Semantic search is the same retrieval with a person reading the matches, and fine-tuning changes the model's weights, not its input.Database administrationBTPDatabase administrationRunning the database a project uses once it exists: watching its health and performance, managing users and their access privileges, and keeping backups that a recovery can rest on. Connecting an application to the database is [database connectors](capability:database-connectors), moving files in and out of tables is [importing and exporting table data](capability:data-import-export), and what the instance costs is [consumption monitoring](capability:consumption-monitoring).
Serves
Designs
Agentic AI & AI AgentsAgentic AI & AI AgentsVector Engine for semantic retrieval and RAG, Knowledge Graph Engine for reasoning over SAP business objectsAgentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsPersistenceGenerative AI on SAP BTPGenerative AI on SAP BTPstores data and embeddings for similarity search through its Vector EngineMultitenant SaaS Application using CAPMultitenant SaaS Application using CAPtenant data
Before choosing this
Conditions
PracticalFunctional boundary
Provisioned per plan and per component, so capacity and cost are decisions taken before any model exists. And it is the database, not a warehouse — modelling, loading and cataloguing are the products above it, and reaching it directly bypasses every semantic they add.
What it declares
Every artifact
- Type
- Service
- Origin
- By SAP
As a service
- Plans
- 16
- Regions
- 46
- Support component
- HAN-CLS-HC
Connections
Group by39 of 39 connections
NodeRelationBasis
Functional
Database administrationDatabase administrationMonitoring, users and privileges, backups for a databaseSAP only
provides
stated
provides Database administration
Ships the administration tools for its own instances: SAP HANA Cloud Central to provision, monitor and manage them, and the SAP HANA Database Explorer for SQL, schemas and diagnostic queries, with backups taken automatically.
“SAP HANA Cloud Central — provision, monitor, and manage database instances.”“SAP HANA Database Explorer — execute SQL statements, inspect schemas, manage catalog objects, and run diagnostic queries.”
Monitoring, users and privileges, backups for a database
Database connectorsDatabase connectorsConnecting a data model and its queries to a databaseSAP and community, narrow by design
provides
authored
provides Database connectors
Is the default a CAP model runs against on BTP, and the store the analytical products above it are built on — the option every other database choice is a departure from.
Connecting a data model and its queries to a database
Retrieval-augmented generationRetrieval-augmented generationGrounding a model's answer in data retrieved at question timeSAP and community, unassessed
provides
stated
provides Retrieval-augmented generation
Supplies the vector half of the concern: the REAL_VECTOR column and the similarity search functions of its Vector Engine, inside the same database the records live in, so embeddings sit beside the rows they describe.
“The SAP HANA Cloud Vector Engine is an integrated feature designed to support similarity search and other vector-based operations, primarily targeting Artificial Intelligence (AI) and Machine Learning (ML) use cases.”“SAP HANA Database Vector Engine Guide : Specific documentation for using the REAL_VECTOR data type and similarity search functions”
Grounding a model's answer in data retrieved at question time
Technical
@cap-js/hana@cap-js/hanaSAP HANA database service for CAPsap official, cap
connected from
derived
connected from @cap-js/hana
@sap/hana-client is not added to the project's dependencies; added, it takes precedence over hdb.
The application's reads and writes, through the hdb driver by default, with the credentials `cds watch`/`run` fetch from the binding at runtime.
“Package `@cap-js/hana` uses the [`hdb`](https://www.npmjs.com/package/hdb) driver by default.”“With this information, `cds watch`/`run` can fetch the SAP HANA credentials at runtime, so that the server can connect to it.”“You can override that by running [`npm add @sap/hana-client`](https://www.npmjs.com/package/@sap/hana-client), thereby adding it to your package dependencies, which then takes precedence over the default driver.”
SAP HANA database service for CAP
cap-bp-ragcap-bp-ragEvent-driven RAG app with CAP, Cloud Integration and SAP HANA Cloudindependent, cap
connected from
derived
connected from cap-bp-rag
writes the embedding of a Business Partner record and reads the nearest rows back for a question
“4. **CAP → SAP HANA Cloud** — store the vector (1536 dimensions).”“7. **CAP → SAP HANA Cloud** — run a similarity search via `cosine_similarity`.”
Event-driven RAG app with CAP, Cloud Integration and SAP HANA Cloud
iq-to-hdl-migrationiq-to-hdl-migrationPython utilities migrating SAP IQ into HANA Cloud, data lakesap official, btp
connected from
derived
connected from iq-to-hdl-migration
copying the extracted SAP IQ data files into the data lake file store and loading the schema and data into the data lake Relational Engine.
“copy_hdlfs.py: Python utility to recursively copy extracted data files from local storage to HDLFS using REST APIs.”“load_schema_and_data.py: Loads the schema and copied data into SAP HANA Cloud data lake Relational Engine.”
Python utilities migrating SAP IQ into HANA Cloud, data lake
SAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAPSAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAPCAP samples embedding CSV rows into the SAP HANA Cloud vector storesap official, cap
connected from
derived
connected from SAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAP
The embeddings the service writes to the vector store, and the stored rows `scienceData` reads back.
“storing them in SAP HANA Vector Store”“schema.cds # Entity definitions used for HANA database schema”
CAP samples embedding CSV rows into the SAP HANA Cloud vector store
SAP BTP AI Best Practice Demo - Vector Query (RAG) - CAPSAP BTP AI Best Practice Demo - Vector Query (RAG) - CAPCAP samples running RAG similarity queries over SAP HANA Cloud vectorssap official, cap
connected from
derived
connected from SAP BTP AI Best Practice Demo - Vector Query (RAG) - CAP
The similarity search over the stored vectors, and the top-matching documents it returns.
“This project demonstrates how to retrieve top-matching documents from the SAP HANA Vector Store”“GET `/queryScienceData` query the uploaded science data for similar records using vector query”
CAP samples running RAG similarity queries over SAP HANA Cloud vectors
SAP Document AISAP Document AIExtracts header fields and line items from business documentssap official, btp
connected from
derived
connected from SAP Document AI
keeps tenant-isolated metadata and structured extraction results
“**SAP HANA Cloud** — tenant-isolated metadata and structured extraction results (HANA-native tenancy).”
Extracts header fields and line items from business documents
sap-knowledge-pipelinesap-knowledge-pipelinePython library turning OData or HANA records into chunked documentsindependent, btp
connected from
derived
connected from sap-knowledge-pipeline
reading business data from an SAP HANA Cloud instance when it is the configured HANA source
“It is not specific to S/4HANA: an ECC EHP8 system on HANA, S/4HANA, HANA Cloud, or a custom HANA application can all be sources when the configured user can read a stable view or query.”
Python library turning OData or HANA records into chunked documents
@saptools/cf-hana@saptools/cf-hanaSQL runner against the SAP HANA Cloud database bound to a CF appindependent, btp
needed by
derived
needed by @saptools/cf-hana
The SAP HANA Cloud database bound to the target app, which every query runs against.
“Run SQL directly against SAP HANA Cloud databases bound to a Cloud Foundry app — addressed by a `region/org/space/app` selector.”
SQL runner against the SAP HANA Cloud database bound to a CF app
@saptools/sqltools@saptools/sqltoolsSQLTools connection from a Cloud Foundry app's HANA bindingindependent, btp
needed by
derived
needed by @saptools/sqltools
The database whose service binding it converts; the parser reads bindings under the hana label only.
“The parser looks for the `hana` service label (the default for SAP HANA Cloud / HDI service bindings on BTP).”
SQLTools connection from a Cloud Foundry app's HANA binding
auth-transportauth-transportUI5 app and CAP service copying role collections between subaccountsindependent, btp
needed by
derived
needed by auth-transport
An instance in the source subaccount is one of the prerequisites the setup lists, before the tool is deployed.
“HANA Cloud instance has been created in the source subaccount.”
UI5 app and CAP service copying role collections between subaccounts
cap-bp-ragcap-bp-ragEvent-driven RAG app with CAP, Cloud Integration and SAP HANA Cloudindependent, cap
needed by
derived
needed by cap-bp-rag
the vector store: the 1536-dimension embedding column sits there and the similarity search runs there, and the production profile binds the hana database kind
“It implements an event-driven Retrieval-Augmented Generation (RAG) application built with the SAP Cloud Application Programming Model (CAP), using SAP HANA Cloud's Vector Engine as the vector store and OpenAI for embeddings and answer generation.”“"@cap-js/hana": "^2"”
Event-driven RAG app with CAP, Cloud Integration and SAP HANA Cloud
cap-embedding-functioncap-embedding-functionCAP service computing embeddings with HANA Cloud vector_embeddingindependent, cap
needed by
derived
needed by cap-embedding-function
Where the embeddings are computed and searched: `vector_embedding`, `to_real_vector` and `cosine_similarity` are the database's own functions, and the project pins `db` to `hana`.
“.columns `vector_embedding(${text}, 'DOCUMENT', 'SAP_NEB.20240715') as embedding`”“"requires": {
"auth": "dummy",
"db": "hana"
}”
CAP service computing embeddings with HANA Cloud vector_embedding
cds-federation-synonymscds-federation-synonymsCAP-to-CAP data federation over SAP HANA synonymssap official, cap
needed by
derived
needed by cds-federation-synonyms
Both applications must run on SAP HANA in the same instance, because the federation is a database synonym from one schema to another.
“Both "provider" and "consumer" run in the same SAP HANA instance, and, if Native Multitenancy in SAP HANA Cloud is switched on, live in the same tenant.”
CAP-to-CAP data federation over SAP HANA synonyms
sap-genai-hub-with-sap-hana-cloud-vector-enginesap-genai-hub-with-sap-hana-cloud-vector-engineWorkshop on HANA Cloud vector engine, Generative AI Hub and LangChainsap official, btp
needed by
derived
needed by sap-genai-hub-with-sap-hana-cloud-vector-engine
the database whose vector engine the notebook works with, reached from Python through hdbcli; the README asks for an Introduction Academy or Basic Trial registration.
“SAP HANA Cloud Introduction Academy or Basic Trial registration.”“In this use case, we will embark on a journey to explore the capabilities of SAP HANA Cloud vector engine, SAP Generative AI Hub and the Python Langchain Framework.”
Workshop on HANA Cloud vector engine, Generative AI Hub and LangChain
SAP-samples/btp-ai-core-consumption-monitorSAP-samples/btp-ai-core-consumption-monitorCAP and React dashboard for SAP AI Core capacity unit consumptionsap official, btp
needed by
derived
needed by SAP-samples/btp-ai-core-consumption-monitor
the HDI container the consumption records and the monthly history are stored in
“| SAP HANA Cloud | hdi-shared | ✅ Yes |”
CAP and React dashboard for SAP AI Core capacity unit consumption
SAP-samples/btp-resource-consumption-monitorSAP-samples/btp-resource-consumption-monitorApp monitoring SAP BTP credit consumption with alerts on increasessap official, btp
needed by
derived
needed by SAP-samples/btp-resource-consumption-monitor
the database the consumption data is stored in, through the HDI container the backend deploys
“- SAP HANA Cloud (you can re-use an existing instance. **Note**: this instance can sit in *any subaccount within the same region*)”“- SAP HANA Schemas & HDI Continers: hdi-shared”
App monitoring SAP BTP credit consumption with alerts on increases
SAP-samples/hana-cf-get-started-trialSAP-samples/hana-cf-get-started-trialStarting project for a tutorial on NoSQL, graph and spatial in HANAsap official, btp
needed by
derived
needed by SAP-samples/hana-cf-get-started-trial
Where the database artifacts the tutorial creates are created; the trial account is the route to it.
“This tutorial explains how to get an account on SAP Business Technology Platform and create database artifacts in SAP HANA Cloud.”
Starting project for a tutorial on NoSQL, graph and spatial in HANA
SAP-samples/hana-cloud-modeling-learning-journeySAP-samples/hana-cloud-modeling-learning-journeyCourse files for Developing Data Models with SAP HANA Cloudsap official, btp
needed by
derived
needed by SAP-samples/hana-cloud-modeling-learning-journey
The system the exercises are performed on, enrolled through SAP Education's Learning System offering as an HC300 system.
“After enrolling an "SAP HANA Cloud - Modeling" (HC300) system, you can download the exercise handbook.”“You can perform the exercises using an SAP BTP landscape provisioned by SAP Education, by suscribing to the "Learning System" offering on the [SAP Learning Hub](https://learninghub.sap.com).”
Course files for Developing Data Models with SAP HANA Cloud
SAP-samples/hana-ml-py-codejamSAP-samples/hana-ml-py-codejamCodeJam on a first machine learning workflow in SAP HANA Cloudsap official, btp
needed by
derived
needed by SAP-samples/hana-ml-py-codejam
The database the notebooks train and score against, as the repository states the CodeJams are about.
“Material (learning content and exercises) for SAP CodeJams on getting started with Machine Learning using SAP HANA Cloud and Python.”
CodeJam on a first machine learning workflow in SAP HANA Cloud
@cap-js/hana@cap-js/hanaSAP HANA database service for CAPsap official, cap
optionally used by
derived
optionally used by @cap-js/hana
A HANA binding is available to the profile the server runs with, which `cds add hana --for hybrid` configures; in development SQLite is the default.
The database this is the service for: capire's standard database for production, reached with the credentials `cds watch` or `cds run` fetch from the binding at runtime.
“This configures deployment for SAP HANA. The configuration is added to a `[hybrid]` profile in your _package.json_.”“With this information, `cds watch`/`run` can fetch the SAP HANA credentials at runtime, so that the server can connect to it.”“in production, SAP HANA 2 is used by default”
SAP HANA database service for CAP
@saptarishi/cds-plugin-vector-hana@saptarishi/cds-plugin-vector-hanaVector storage and similarity search on SAP HANA from CAPindependent, cap
optionally used by
derived
optionally used by @saptarishi/cds-plugin-vector-hana
The HanaVectorStore backend is used; the SQLite backend runs without it.
“Vector store for SAP CAP that speaks HANA Cloud's native `REAL_VECTOR` + `COSINE_SIMILARITY`.”“No. The SQLite backend has the identical API and works out of the box.”
Vector storage and similarity search on SAP HANA from CAP
analytics-cloud-rpt15-prediction-demoanalytics-cloud-rpt15-prediction-demoFastAPI backend for SAP-RPT-1.5 predictions from SAP Analytics Cloudsap official, btp
optionally used by
derived
optionally used by analytics-cloud-rpt15-prediction-demo
the requirement names SAP Datasphere or SAP HANA Cloud; this is the HANA Cloud half of that choice
where the V_PAYMENT_DELAY_PREDICTION view and the staging table live, when the data sits in HANA Cloud
“- **SAP Datasphere / SAP HANA Cloud** with a `V_PAYMENT_DELAY_PREDICTION` view”
FastAPI backend for SAP-RPT-1.5 predictions from SAP Analytics Cloud
cap-llm-plugincap-llm-pluginGenerative AI in CAP with fields anonymised through SAP HANAindependent, cap
optionally used by
derived
optionally used by cap-llm-plugin
The similarity search, the single retrieval method or the anonymisation are used; all three are written against SAP HANA Cloud.
The vector engine the similarity search runs in, and the database the anonymisation happens in before a prompt leaves.
“Effortlessly perform similarity search via SAP HANA Cloud Vector engine.”
Generative AI in CAP with fields anonymised through SAP HANA
com.sap.cds:cds-feature-hanacom.sap.cds:cds-feature-hanaSAP HANA Cloud datasource for CAP Java applicationssap official, cap
optionally used by
derived
optionally used by com.sap.cds:cds-feature-hana
A hana service binding is present in the runtime environment.
“Hence, during local development without this binding, this feature gets deactivated and the stack falls back to default feature adapted for H2.”
SAP HANA Cloud datasource for CAP Java applications
sap-ai-dev-toolkitsap-ai-dev-toolkitMCP proxy pinning an agent's ABAP tools to one SAP systemindependent, abap
optionally used by
derived
optionally used by sap-ai-dev-toolkit
the hana-cloud-inspector companion server is selected during setup
Read-only inspection of a bound HANA Cloud HDI schema's catalog and row data when the hana-cloud-inspector companion is selected.
“Inspect an environment-bound HDI schema, object metadata, and capped query results without exposing deployment credentials.”
MCP proxy pinning an agent's ABAP tools to one SAP system
@sap/hdi-deploy@sap/hdi-deployNode.js deployer for SAP HANA Deployment Infrastructure containerssap official, cap
used by
derived
used by @sap/hdi-deploy
The target: an HDI container, which on Cloud Foundry is an `hdi-shared` service instance. The README names SAP HANA 1 SPS11/SPS12 and SAP HANA 2 as supported; SAP HANA Cloud appears in the changelog, which added its tenant credential format in 5.4.0.
“The HDI Deployer supports SAP HANA 1 SPS11/SPS12 and SAP HANA 2.”“Added support for HANA Cloud tenants credential format”“Creates a Cloud Foundry service of type hdi-shared, which creates an HDI container.”
Node.js deployer for SAP HANA Deployment Infrastructure containers
hana-graph-exampleshana-graph-examplesSQL scripts and a notebook for SAP HANA's built-in graph algorithmssap official, btp
used by
derived
used by hana-graph-examples
Running the SQL scripts and notebooks against a real graph, spatial and document engine.
“In order to run the examples yourself you need a SAP HANA Cloud system and a basic understand of SQL or python.”
SQL scripts and a notebook for SAP HANA's built-in graph algorithms
SAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAPSAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAPCAP samples embedding CSV rows into the SAP HANA Cloud vector storesap official, cap
used by
derived
used by SAP BTP AI Best Practice Demo - Vector Embedding (RAG) - CAP
Where the embeddings are stored: the sample's schema is built into an HDI container by its own `build:db` step before the service can read or write vectors.
“Build the HANA / HDI Container
```bash
npm run build:db
```”
CAP samples embedding CSV rows into the SAP HANA Cloud vector store
SAP BTP AI Best Practice Demo - Vector Query (RAG) - CAPSAP BTP AI Best Practice Demo - Vector Query (RAG) - CAPCAP samples running RAG similarity queries over SAP HANA Cloud vectorssap official, cap
used by
derived
used by SAP BTP AI Best Practice Demo - Vector Query (RAG) - CAP
Where the vectors are stored and searched: the sample's schema is built into an HDI container by its own `build:db` step before a query can run.
“Build the HANA / HDI Container
```bash
npm run build:db
```”
CAP samples running RAG similarity queries over SAP HANA Cloud vectors
SAP-samples/teched2022-XP281SAP-samples/teched2022-XP281TechEd 2022 workshop on Alert Notification and Automation Pilotsap official, btp
used by
derived
used by SAP-samples/teched2022-XP281
the instance the third exercise monitors and remediates; named among the BTP services the account must include.
“Access to the SAP Business Technology Platform (BTP) that includes SAP HANA Cloud, SAP Alert Notification Service, and SAP Automation Pilot.”
TechEd 2022 workshop on Alert Notification and Automation Pilot
teched2023-DA263teched2023-DA263TechEd 2023 session on SAP HANA features over HDIsap official, btp
used by
derived
used by teched2023-DA263
the cloud database the exercises' HDI artefacts deploy into; the README asks for a BTP development environment or a trial account from SAP for SAP HANA.
“Access to a SAP Business Technology Platform development environment -- Provided by the course at TechEd -- Trial Account from SAP for SAP HANA”
TechEd 2023 session on SAP HANA features over HDI
teched2025-DA261teched2025-DA261TechEd 2025 workshop on SAP HANA Cloud's AI capabilitiessap official, btp
used by
derived
used by teched2025-DA261
the database every exercise runs against; the notebooks generate SQL for execution in the connected instance.
“In this workshop you will learn how to utilize SAP HANA Cloud's AI capabilities for custom AI applications on SAP Business Technology Platform.”“You will mainly work with notebook scripts using the Python Machine Learning client for SAP HANA, which generates SQL for immediate execution within the connected SAP HANA Cloud instance.”
TechEd 2025 workshop on SAP HANA Cloud's AI capabilities
xsa-cap-migrationxsa-cap-migrationGuide migrating the hana-shine-xsa demo from XS Advanced to CAPsap official, cap
used by
derived
used by xsa-cap-migration
the target of the migration: the HDI container the SAP HANA 2.0 container is migrated to and the CAP application is then bound to.
“Hana Cloud Service Instance should be created.”
Guide migrating the hana-shine-xsa demo from XS Advanced to CAP
xsa-cap-migration-using-basextnxsa-cap-migration-using-basextnGuide to migrating XS Advanced database artefacts to CAPsap official, cap
used by
derived
used by xsa-cap-migration-using-basextn
the database the migrated CAP application targets, and the HDI container the converted artefacts are deployed into.
“The SAP HANA Application Migration Extension allows users to migrate XS Advanced application to a SAP CAP application with SAP HANA Cloud as a database.”
Guide to migrating XS Advanced database artefacts to CAP
xsc-cap-migrationxsc-cap-migrationGuide to migrating XS Classic database artefacts to CAPsap official, cap
used by
derived
used by xsc-cap-migration
the database the generated CAP project targets, and the HDI container the migrated artefacts are bound to and deployed into.
“The SAP HANA Application Migration extension enables users to migrate XS Classic applications packaged either as a Delivery Unit or as a Package into SAP Cloud Application Programming Model (CAP) projects, targeting SAP HANA Cloud as the database.”
Guide to migrating XS Classic database artefacts to CAP
xsc-to-native-hana-cloudxsc-to-native-hana-cloudGuide converting XS Classic content to native SAP HANA Cloud artefactssap official, btp
used by
derived
used by xsc-to-native-hana-cloud
the database the generated SAP HANA Native project targets, and the HDI container the migrated artefacts are bound to and deployed into.
“The SAP HANA Application Migration Extension enables users to migrate XS Classic applications packaged either as a Delivery Unit or as a Package into SAP HANA Native applications, targeting SAP HANA Cloud as the database.”
Guide converting XS Classic content to native SAP HANA Cloud artefacts
Download
Learn more
Readings
- CAP in the age of AI #7 - vector embeddings wrap-upCAP in the age of AI #7 - vector embeddings wrap-upThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.published 2026-10-16DJ Adams, Johannes Vogt, YouTube — SAP Developers playlists
- CAP in the age of AI #6 - vector embeddingsCAP in the age of AI #6 - vector embeddingsVector embeddings put to work in the incident management sample, answering whether this problem has been seen before. An embedding element of type Vector is calculated and stored from the vector_embedding function, so the database refreshes it whenever the text behind it changes, and cosine_similarity compares it with a freshly embedded string; because a title says little, a scheduled action first summarises each incident's conversation through a model on SAP AI Core and the embedding is taken from that summary. The similar-incidents list is a view joining incidents to themselves, with order and limit set in a before handler on the expanded query, and the vector element excluded from the service, since OData knows nothing about vectors — on SAP HANA Cloud the function is native, while SQLite needs packages added to the project.published 2026-10-09DJ Adams, Johannes Vogt, Daniel Schlachter, YouTube — SAP Developers playlists
- SAP BDC in Business AI Platform: Contextualize and ReasonSAP BDC in Business AI Platform: Contextualize and ReasonA Devtoberfest 2026 session (DAT-31) that places SAP Business Data Cloud as the contextualise-and-reason pillar of the SAP Business AI Platform, between the build pillar of Joule Studio and Integration Suite and the govern pillar of AI Agent Hub. It covers data products described with open resource discovery and core schema notation metadata, a data product creation agent that assembles a derived data product for overdue billing documents from the billing document and customer products and shows its lineage and fields; the data products a line-of-business application brings being readable by Joule without a BDC subscription; and the SAP-managed knowledge graph that maps business entities and their relationships for agents, held as graph data in the SAP HANA Cloud knowledge graph engine as RDF triples queried with SPARQL. The closing demo has SAP Joule answer head-count and purchase-order questions, with the generated SQL passed through a data product query that adds the restriction policy defined for that user in cloud identity services, which is why the session stands for cataloguing and lineage as much as for the products it names.SAP Developers, published 2026-10-06SAP Developers, YouTube — SAP Developers playlists
25 more
- Bring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsBring "developers.sap.com" Into Your Dev Environment: SAP Developer Context for AI Coding AgentsDevtoberfest 2026 session FA-11: a tour of the rebuilt developers.sap.com by the team that runs it, from the administration screens behind the home page to the agent interfaces in front of it. The site is a CAP application on SAP HANA Cloud and SAP BTP, open-sourced in full, and the half of the session that places it here is how its content reaches an agent: every tutorial is also served as markdown, a coding agent is detected and given that version instead of the HTML, a well-known agent card advertises what the site offers, and SAP Developers MCP answers questions about tutorials, news and a reader's own completion history in Claude Code and Joule Desktop, over OAuth or a personal access token. Behind the answers sit two things working together: a knowledge graph in the HANA database over 1400 tutorials and 11,000 concepts, and SAP AI Core for the Joule interactions and the embeddings, with the agent harness written for the site rather than taken off a shelf. Where neither MCP nor A2A is available, the same content is published as skills.SAP Developers, published 2026-09-25SAP Developers, YouTube — SAP Developers playlists
- Building your knowledge graph on SAP HANA CloudBuilding your knowledge graph on SAP HANA CloudDevtoberfest 2026 session DAT-11, in which two enterprise architects explain what a knowledge graph is and then build one on SAP HANA Cloud. The first half sets the join across three relational tables against an ontology of classes and predicates, the subject-predicate-object triple written as a turtle file, and a SPARQL query over it, and argues that the chain of relationships is what makes a recommendation traceable back to its reasons. The demo, taken from a Discovery Center mission, curates the ontology and the RDF files for an accounts receivable scenario in VS Code, ingests the triples into HANA Cloud with SQL and walks the resulting graph outward from a customer; that is the graph, spatial and document data edge. It closes by separating three things that share the name: the HANA Cloud knowledge graph engine, SAP Knowledge Graph as the data, and the knowledge graph in SAP Business Data Cloud.SAP Developers, published 2026-09-22SAP Developers, YouTube — SAP Developers playlists
- Combining AI Agents with the power of SAP HANA embedded ML (part 1)Combining AI Agents with the power of SAP HANA embedded ML (part 1)Devtoberfest 2026 session DAT-12, the first of two parts, in which Vitaliy Rudnytskiy does a data scientist's work against the embedded machine learning of SAP HANA Cloud by talking to an agent. The session first takes an agent apart into its LLM, its tools, its memory and the loop between them, then stacks the Predictive Analysis Library under the hana-ml Python wrapper and that under the HANA AI toolkit, whose tools an agent calls from plain English in a notebook to preview a sales refunds table, split it into train and predict tables, run a time-series check and train an AutoML forecast, keeping what it decided in Markdown memory files. That is the agent tooling edge; the same toolkit is then started as an MCP server over stdio and over streamable HTTP and reached from a coding agent and from Joule Work's desktop, which is where the live demo partly fails and the failure is shown.published 2026-09-22Vitaliy Rudnytskiy, YouTube — SAP Developers playlists
- Building an SAP BTP Agent Architecture from Scratch: Python + CAP + HANABuilding an SAP BTP Agent Architecture from Scratch: Python + CAP + HANAA first-person build log of a Flask orchestrator on Cloud Foundry that reduces a question to keywords, searches a Node.js service's Documents entity, and passes what it finds to Claude for a grounded answer. Getting there means learning that HANA's fuzzy .search() matches one word but not a full sentence, fixed by splitting the query into terms and merging the per-term hits, and that provisioning SAP HANA Cloud hits a database-level free-tier quota rather than an HDI-container one, with a stopped instance needing to be resumed first. It also covers @sap/cds-dk needing to sit in dependencies rather than devDependencies, since Cloud Foundry's buildpack skips the latter, before cds deploy --to hana can run as part of the push.neilaspin, published 2026-07-28neilaspin, SAP Community
- Automate Recurring Data Updates in SAP HANA CloudAutomate Recurring Data Updates in SAP HANA CloudA walkthrough for marking inventory rows stale after 30 days using SAP HANA Cloud's own scheduler: a SQLScript procedure, a CREATE SCHEDULER JOB statement with its 7-field cron pattern, the M_SCHEDULER_JOBS monitoring view, and the matching DROP statements to remove both. It then names where that approach stops and lists the alternatives for scheduling outside the database: SAP Integration Suite's Timer Event, the SAP Job Scheduling service, SAP Automation Pilot for infrastructure commands, and a custom approach for triggering scheduled REST calls from an application.Joni, published 2026-06-11Joni, SAP Community
- Accelerating Your Analytics with Delta Table Replication into SAP HANA CloudAccelerating Your Analytics with Delta Table Replication into SAP HANA CloudStarting with QRC 04/2025, SAP HANA Cloud can replicate a Delta Lake table from an external Delta Sharing source directly into a native HANA table, rather than only querying it live through a virtual table. The post walks through creating a remote subscription, running a chunk-based initial load, and setting up change data capture on a schedule or on demand, each with the SQL statements and monitoring views involved, plus the simpler virtual-table-toggling and HANA Cloud Central UI alternatives.SeungjoonLee, published 2025-12-22SeungjoonLee, SAP Community
- Medallion Reference Architecture for Big Data Processing in SAP HANA CloudMedallion Reference Architecture for Big Data Processing in SAP HANA CloudSAP's medallion layout for SAP HANA Cloud: structured, semi-structured and unstructured data lands raw in HANA Cloud, data lake files as the bronze layer, is cleansed into a common structure in silver, held in data lake files or the HANA database, and is curated and read-optimised in gold, from where it can also be exposed as a Delta Share. The staged path from raw to consumable is the ground loading a warehouse covers, with Spark jobs and SAP Datasphere data flows named as ways to move data between layers and SAP Analytics Cloud among the consumers of gold. It leaves the ingestion method open, to be chosen by source, freshness and performance, and names no pipeline or schedule beyond that.published 2025-04-03SAP Architecture Center, SAP Architecture Center
- SAP HANA Cloud as an Esri GeodatabaseSAP HANA Cloud as an Esri GeodatabaseSAP's design for running an Esri ArcGIS Enterprise geodatabase inside SAP HANA Cloud, so that geometries and SAP business data sit in one database and are joined in a HANA calculation view, which is the spatial part of graph, spatial and document data. It traces three personas: an analyst in ArcGIS Pro building query layers over that view, a developer whose CAP application models spatial types such as ST_Point in CDS, and an analyst using a Fiori app on top of such an application. The deployment advice stops at placement: ArcGIS Server and HANA Cloud go in the same region and availability zone, because Esri's certified architectures allow under 5 milliseconds of network latency between them.published 2025-03-25SAP Architecture Center, SAP Architecture Center
- SAP HANA Data Lake Files (HDLF) Basic FunctionalitiesSAP HANA Data Lake Files (HDLF) Basic FunctionalitiesA Devtoberfest 2026 data-track session on SAP HANA data lake files, the managed object store inside SAP HANA Cloud that is provisioned from HANA Cloud Central, priced per API call and per stored gigabyte, and reached with the same REST API whichever hyperscaler it runs on. Two product managers set up an instance with its IP allow list, client certificates and trusts, then upload, list, read and delete files over the WebHDFS REST API and the HDLFS command-line utility — the Object storage half — and cover file versions with snapshots, access policies per file, and chunked upload with a server-side merge. They then link the instance to a HANA database and query a CSV file as a virtual table: SQL on files now runs through a file adapter in the database, while the older path through the data lake relational engine is deprecated.SAP DevelopersSAP Developers, YouTube — SAP Developers playlists
- Talking to your database: The new data exploration tools in SAP HANA CloudTalking to your database: The new data exploration tools in SAP HANA CloudSAP HANA Cloud's new data exploration tools take a business question in plain language, find the right database objects and run the query, with no data model and no SQL written beforehand, shown live on a standard business data set. SAP's abstract says the session covers how the tools work, what they need and where they hit their limits, and states none of the three. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Anna Hartmann, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Stop guessing, start counting: How generative AI fixed an inventory messStop guessing, start counting: How generative AI fixed an inventory messAn inventory-counting application a business built on SAP Business AI Platform with SAP HANA Cloud and generative AI, to replace recount lists kept by gut feel across SAP ERP Central Component, SAP S/4HANA and Microsoft Excel; the talk promises the app, its architecture and what went wrong. The generative AI part is LLM integration from application code; the abstract names HANA Cloud and generative AI as the two building blocks and says nothing about how either is used. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Ranjeet Kumar, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- SAP HANA Cloud as a self-managed database: Advisors and automationSAP HANA Cloud as a self-managed database: Advisors and automationSAP HANA Cloud advisors generate recommendations for database administration, aimed at system performance and efficiency, and SAP Automation Pilot runs the manual and administrative tasks around the database as automated processes, which is the operations automation concern on the database side. SAP's abstract names the two services and claims reduced operational overhead; which advisors exist and which tasks the automation covers are not said. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Javier Martin and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Build AI agents and applications natively on SAP HANA CloudBuild AI agents and applications natively on SAP HANA CloudSAP HANA Cloud as the base for agentic applications on SAP Business AI Platform: the session goes through CAP, the SAP HANA Cloud vector engine and SAP AI Core, with architecture patterns and lessons learned from building AI-supported applications. SAP's abstract names the three parts of that stack and the vector engine as the database's feature in it, and describes none of the patterns. A TechEd 2026 session (Wednesday 28 October, Berlin; also DA113V, virtual), presented by Christoph Morgen and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Modernize your database landscape with SAP HANA CloudModernize your database landscape with SAP HANA CloudWhy to move a database estate to SAP HANA Cloud, and the migration tools and services for doing so, which is the platform migration concern. SAP's abstract is one sentence and names none of the tools. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Niklas Siemer and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- SAP HANA Cloud advisors and automationSAP HANA Cloud advisors and automationSAP HANA Cloud's advisors and the tasks they hand off: the elastic compute node, the partition, index and native storage extension advisors that produce recommendations for performance and efficiency, and SAP Automation Pilot as the service that runs the resulting tasks, which is operations automation on the database. The abstract lists the features and stops there, so what each advisor recommends and how a recommendation becomes an Automation Pilot command is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hansika Colomboge Dona, Hui Li, Javier Martin and Roman Belosludtsev, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Unlock predictive and generative AI with your data in SAP HANA CloudUnlock predictive and generative AI with your data in SAP HANA CloudThe AI features SAP lists for SAP HANA Cloud: the function libraries for tabular prediction and forecasting, where predictive models run inside the database, the vector engine, the knowledge graph engine, which is graph, spatial and document data put to generative use, and SQL to LLM calls. The abstract names the engines and the use cases they are meant for and gives no detail of any one of them. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA204V, virtual), presented by Christoph Morgen and Javier Martin, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Agentic memory: Knowledge graph engine and recall in SAP HANA CloudAgentic memory: Knowledge graph engine and recall in SAP HANA CloudThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA263 on Wednesday 28 October is a two-hour hands-on on the same engine with a different cast. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Markus Fath and Shraddha Shetty, written here from SAP's abstract; the recording is not yet published.Markus Fath, SAP TechEd — session catalogue
- Get hands on with tabular AI and forecasting models in SAP HANA CloudGet hands on with tabular AI and forecasting models in SAP HANA CloudPrediction and forecasting as predictive models inside SAP HANA Cloud, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus Fath, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.Markus Fath, SAP TechEd — session catalogue
- Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.Markus Fath, Thomas Hammer, SAP TechEd — session catalogue
- Flexible analytics at speed: Calculation views in SAP Business Data CloudFlexible analytics at speed: Calculation views in SAP Business Data CloudCalculation views in SAP HANA Cloud, the reusable analytic modelling blocks built in its graphical modelling environment, with three newer parts the abstract names: AI-assisted modelling, refactoring, and advanced materialisation, and the way the views sit inside SAP Business Data Cloud. What a materialisation is chosen on, and what the AI assistance generates, is not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hansika Colomboge Dona, Jan Zwickel, Niklas Siemer and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.Thomas Hammer, SAP TechEd — session catalogue
- Road map for SAP HANA Cloud: What’s next for the AI databaseRoad map for SAP HANA Cloud: What’s next for the AI databaseSAP's road map for SAP HANA Cloud, which the abstract places as a core component of SAP Business AI Platform within SAP Business Data Cloud. The abstract promises a firsthand look at what is next for the database and names no feature, release or date, so the two edges rest on the products it names and nothing more. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Niklas Siemer and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.Thomas Hammer, SAP TechEd — session catalogue
- SAP HANA Cloud: The data foundation for contextualizing and reasoningSAP HANA Cloud: The data foundation for contextualizing and reasoningWhere SAP is taking SAP HANA Cloud, described in the abstract as the anchor of SAP's data strategy and a unified layer to store, contextualise and reason across a business, and what that means for a data platform decision. The abstract is a direction statement and names no feature, release or date, so the one edge rests on the product itself. A TechEd 2026 session (Tuesday 27 October, Berlin; also ST106V, virtual), presented by Matthew Zenus and Stefan Baeuerle, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- SAP HANA Cloud as the AI database for SAP Business Data CloudSAP HANA Cloud as the AI database for SAP Business Data CloudSAP HANA Cloud as the AI database at the centre of SAP Business Data Cloud: the strategy behind its AI-first direction, and a Carl Zeiss speaker on how it runs in production today. The abstract names the two products and the customer and no feature, workload or figure, so the edges rest on the products as its subject. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Kush Kashyap and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.Thomas Hammer, SAP TechEd — session catalogue
- Build your custom knowledge layer with SAP HANA CloudBuild your custom knowledge layer with SAP HANA CloudSAP HANA Cloud's multi-model engines, the knowledge graph engine among them, as the base for a custom knowledge layer over the enterprise's data, with SAP Business Data Cloud as the product that includes the database. Graph, spatial and document data put to an AI use; the abstract names the graph engine and not the query language or the vector side. A TechEd 2026 session (Wednesday 28 October, Berlin; also ST108V, virtual), presented by Niklas Siemer and Sebastian Schmidt, written here from SAP's abstract; the recording is not yet published.Sebastian Schmidt, SAP TechEd — session catalogue
What’s New
from SAP Help Portal, readhelp.sap.com/whats-new, SAP HANA CloudSAP’s wordsOn SAP Help Portal
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Others providing
Database connectorsDatabase connectorsConnecting an application’s data model and queries to a database, including the differences in supported queries, types and schema management between database implementations. Changing an existing schema belongs to schema evolution.SAP and community, narrow by design
- SAP ASE ServiceSAP ASE ServiceSAP ASE database systems and tenant databases on BTP with SAP running the platform operations, used from Java applications on BTP or on premise over SQL, JPA and JDBC.sap official, btpManaged SAP ASE databases on BTP for Java applications
- SAP HANA Service (SAP Regions) for SAP BTPSAP HANA Service (SAP Regions) for SAP BTPManaged SAP HANA 2.0 database systems in fixed sizes from 64 GB to 1 TB, in SAP's own regions, with tenant databases bound to applications on SAP BTP.sap official, btpManaged SAP HANA 2.0 databases in fixed sizes on SAP BTP
- PostgreSQL on SAP BTP, hyperscaler optionPostgreSQL on SAP BTP, hyperscaler optionA managed PostgreSQL from the underlying hyperscaler — AWS, Azure, Google Cloud or Alicloud — consumed through a BTP service binding.sap official, btpManaged PostgreSQL from the hyperscaler via a BTP service binding
- hdbhdbSAP's HANA driver for Node.js, written entirely in JavaScript so installing it pulls in no native client, running SQL against SAP HANA and SAP HANA Cloud with streams and prepared statements.sap official, btpPure JavaScript SAP HANA driver for Node.js
- @sap/hana-client@sap/hana-clientSAP's own Node.js driver for SAP HANA: connect, run SQL and prepared statements, synchronously, through callbacks or as promises, over native client libraries npm installs per platform.sap official, btpSAP's Node.js driver for SAP HANA
- SAP HANASAP HANASAP’s relational database platform, which stores application data and executes SQL and SQLScript in the database, available on-premise and as the managed service SAP HANA Cloud.sap official, btpSAP's relational database platform, on-premise and in HANA Cloud
- SAP-samples/hana-hdbext-promisfied-exampleSAP-samples/hana-hdbext-promisfied-examplePromise-based wrappers around the SAP HANA client libraries for Node.js, Go and Python, replacing nested callbacks with a single async call.sap official, btpPromise-based wrappers around the SAP HANA client libraries
Document groundingRetrieval-augmented generationGrounding a model's answer in data retrieved at question time: text split into chunks, each chunk embedded as a vector, and the chunks nearest to the question placed into the prompt. Semantic search is the same retrieval with a person reading the matches, and fine-tuning changes the model's weights, not its input.SAP and community, unassessed
- SAP AI CoreSAP AI CoreSAP's AI service on BTP: the runtime for AI assets, and through the Generative AI Hub inside it the access to foundation models, the orchestration service with its templating, masking, filtering and grounding modules, the Prompt Registry and Document Grounding.sap official, btpAI runtime on BTP with the Generative AI Hub
- sap-knowledge-pipelinesap-knowledge-pipelineA Python library that reads selected records out of an SAP OData service or an SAP HANA SELECT and renders them as chunked documents, each carrying the entity set and business key it came from.independent, btpPython library turning OData or HANA records into chunked documents
Database administrationDatabase administrationRunning the database a project uses once it exists: watching its health and performance, managing users and their access privileges, and keeping backups that a recovery can rest on. Connecting an application to the database is database connectors, moving files in and out of tables is importing and exporting table data, and what the instance costs is consumption monitoring.SAP only
- SAP-samples/hana-developer-cli-tool-exampleSAP-samples/hana-developer-cli-tool-exampleA developer-centric command line for SAP HANA, built for local development outside SAP tooling and connecting to a local, cloud or remote HANA instance the same way.sap official, btpDeveloper-centric command line for SAP HANA
Details
Sources
Sources are graph entities: the same page may back several entries, and an unreachable source flags every row that rests on it.
Compatibility and provenance
discovered viaSAP Help Portal
first seen in the atlas
ecosystem and domainbtp, data-and-persistence
History in the atlas
- provides capability:database-administration
- capability:database-connectors, capability:retrieval-augmented-generation
- Entered so the data and analytics capabilities have SAP's answer as an artifact rather than as a paragraph with a citation — the asymmetry every one of those three coverage notes admitted to. Written from SAP Help, read today, which is what the checked date means.
- Added by me the day it was entered, and it did not hold: an ABAP developer does not choose the database — S/4 runs on HANA — so database-connectors is not a decision made on the ABAP door.
- First seen.
For your agent
- Ref
artifact:btp-hana-cloud- JSON
- /artifacts/btp-hana-cloud.json
- MCP
- Connecting an agent