NewSAP Business Technology Platform, also named SAP Business AI Platform
Domain Data & PersistenceDomain Protocols & APIs

Today
5 changes
Attachmentscoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): drops a count-like contrast with a plugin the flavor does not have.Capability,
Cataloguing and lineagecore coverage revisedReassessed against the graph (check:capabilities): a newer community server publishes Delta shares as data products in Business Data Cloud, a kind the text did not name.Capability,
Database connectorscoverage by ecosystem revisedReassessed against the graph (check:capabilities): the note counted one entry behind the door; it now names the driver and SAP HANA, which now provides the capability on this door. State unchanged.Capability,
Loading a warehousecore coverage, coverage by ecosystem revisedReassessed against the graph (check:capabilities): ERPL is a provider the text never named, and it loads from ABAP systems outside BW routines. State unchanged.Capability,
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Serve your application over MCPcoverage by ecosystem, coverage by flavor revisedReassessed against the graph (check:capabilities): the note counted providers, and sap-security-mcp no longer provides this capability. The unmapped state is unchanged.Capability,
Yesterday
1 change
SAP CAP With Prostgres Serice in BTPpublishedA step-by-step walkthrough of a CAP bookshop project on @cap-js/postgres, provisioning PostgreSQL on SAP BTP, hyperscaler option's trial plan through mta.yaml, building the MTA archive and deploying it to Cloud Foundry by hand, then inspecting the deployed database with pgAdmin over an SSH tunnel. It updates an earlier post by Mike Zaschka on the same topic to the package CAP now ships by default, though the manual build-and-deploy sequence it shows predates cds up folding those steps into one command by a day.Blog,
Sat 24
3 changes
Edge Integration Cell : Design, deploy and manage APIspublishedWalks through creating an API artifact in API Management on the customer-managed Edge Integration Cell runtime, including the option to generate the artifact by importing an OpenAPI specification rather than from a URL or by hand. It then attaches an Authentication policy and a Quota step capped at four calls per minute, deploys, and shows both the resulting 401 and the quota-breach error in the Monitor logs. The author frames it as the first of a series on Edge Integration Cell's policies.Blog,
SAP HANA Cloudprovides revisedThe capability was added on 2026-10-24 for administering a database instance; SAP HANA Cloud ships its administration tools, so it is the core answer on BTP.Service,
SAP-samples/hana-developer-cli-tool-exampleprovides, serves ecosystems, domain, provides revisedIts performance analysis, privilege grants and backup and recovery commands had no capability to sit under; Database administration was added for them the same day.CLI,
Fri 23
4 changes
Expose RFCs as MCP Tools in Integration SuitepublishedWalks through creating an MCP server in SAP Integration Suite from an RFC source: an on-premise RFC destination labelled for Integration Cell inclusion, a search over the backend's function modules (minimum seven characters), and up to 50 selected modules each becoming a tool. Covers the resulting server's configuration (Source, Tools and Prompts, with no Resources section for this source) and the two scopes an RFC-based server's policy adds beyond an API-sourced one, API.invoke and ESBMessaging.send, plus the RFC receiver adapter used at runtime. Demonstrates the flow with a purchase-order scenario where an AI client calls BAPI_PO_CREATE1 and BAPI_PO_GETDETAIL1 as MCP tools.Blog,
SAP Analytics Cloudlinks revisedSAP moved the What's New entries for SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud to the Business Data Cloud feed; the old BTP feed had stopped carrying them.Service,
SAP Business Data Cloudlinks revisedSAP publishes the What's New entries for SAP Business Data Cloud on its own feed; the entry linked none before.Service,
SAP Dataspherelinks revisedSAP moved the What's New entries for SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud to the Business Data Cloud feed; the old BTP feed had stopped carrying them.Service,
Mon 19
9 changes
Bridging Python and SAP HANA: Inside the sqlalchemy-hana Open-Source DialectpublishedA Devtoberfest 2026 data-track session (DAT-21) in which one of the maintainers of sqlalchemy-hana, the open-source SQLAlchemy dialect published in SAP's GitHub organisation, opens up what sits between Python and SAP HANA. It walks the five dialect classes that render statements, types, DDL, identifiers and sequences, and the HANA specifics they absorb: the FROM DUMMY a bare SELECT needs, a limit injected when only an offset is given, string compiled to NVARCHAR, and quoted case-sensitive identifiers against Python's lowercase. The rest covers schema migrations with Alembic on HANA's transactional DDL, the recently added async support and vector types, and that HANA Cloud and HANA 2 are supported while HANA 1 is not.Talk,
Building your knowledge graph on SAP HANA CloudpublishedDevtoberfest 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.Talk,
Combining AI Agents with the power of SAP HANA embedded ML (part 1)publishedDevtoberfest 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.Talk,
Data Product Governance in SAP Business Data CloudpublishedA Devtoberfest 2026 data-track session (DAT-41) on data product governance in SAP Business Data Cloud, released as an MVP: every data product belongs to a domain, a consumer puts one in a cart and raises an access request with a purpose, a target location and acknowledged terms and conditions, and a data steward's approval becomes an access agreement recording who uses which data product where. The demo runs both sides in the BDC cockpit — domains, access management and data product management for the steward, catalog, cart and request for the consumer, with Databricks as the target workspace — and that is what the Cataloguing and lineage edge rests on. It also states the current limits: one default domain until custom domains and subdomains arrive, auto-approved requests for space copies, transports and intelligent content, stewards who cannot yet revoke an active agreement, and an install step still done by hand after approval.Talk,
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From APIs to Agent Tools: How MCP Gateway changes what Integration meanspublishedThe opening session of the Devtoberfest 2026 integration track, in which two product managers for SAP Integration Suite set out why the suite puts an MCP gateway between agents and backend systems, and then build one. The demo turns an HTTP endpoint and its OpenAPI specification into MCP tools on the integration cell runtime, does the same on top of an existing API-centric integration, and shows the policies tab where authentication through an external provider, quotas, spike arrest and IP filtering sit, plus the trace of the JSON-RPC calls in monitoring and the agent they are earmarked against in analytics. That is where the serve your application over MCP and tool governance edges hold; RFCs and BAPIs as sources are stated as supported, and MCP federation, custom domains and edge integration cell as roadmap.Talk,
SAP BDC and AI: A Perfect MatchpublishedA Devtoberfest 2026 data-track session (DAT-22) in which Business Data Cloud's CTO sets out how SAP Business Data Cloud feeds SAP's business AI platform: data products whose primary persistence is an object store and whose semantics are kept with them, the one domain model that links a supplier in Ariba to a supplier in S/4HANA, and the SAP knowledge graph, a triple store running in SAP HANA Cloud and queried with SPARQL, that SAP Joule consults before answering. The live demo asks Joule for the available data products and the top ten open purchase orders, with the data product query agent compiling SQL over virtual tables and a space rendering a dashboard, which is the cataloguing side of this: a central registry, the Unified Customer Landscape, that every activated data product is registered in. The Q&A covers where the knowledge graph lives and what a customer may extend, base policies that turn into filter conditions on an agent's queries, and Joule Studio as the place to build your own agents and data products.Talk,
SAP BDC in Business AI Platform: Contextualize and ReasonpublishedA 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.Talk,
SAP HANA Data Lake Files (HDLF) Basic FunctionalitiespublishedA 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.Talk,
Strategy and Tool Updates on BW Modernization with SAP Business Data CloudpublishedDevtoberfest 2026 session DAT-13, in which a product manager for SAP Business Data Cloud sets out the revised BW modernisation strategy, now called optimise, modernise and innovate, and the three tools that carry it. The data product generator transfers BW InfoProviders into local table files in a dedicated BW inbound space of SAP Datasphere, where a data product is still created by hand in the data sharing cockpit; the query template generator turns BW query metadata into an analytical model template in the HANA space; the BW migration assistant, planned to start in Q4 for BW NetWeaver, takes the data flows and transformations below them, and is shown on slides only. That is the loading a warehouse edge, and the demos cover the BW/4HANA cockpit, the ABAP program for the NetWeaver GUI, mass generation with semantics from the BW modeling tools, and the flattening operator for sharing data outside SAP.Talk,
The last 7 days. Older changes stay in each entry's history.