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 Business Data Cloud
SAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.
Where the other products on this door are tools, this is the layer that says what exists and who may rely on it. Its documentation is organised around governing and publishing data in the catalog — identifying, enriching, publishing and promoting an organisation's trusted data and analytic assets — and around intelligent content: pre-built data products you install and then view, worked with inside DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp. A Data Product Generator extracts from SAP BW and BW/4HANASAP BW/4HANASAP's data warehouse product for on-premise and private-cloud landscapes, optimised for the HANA database and installed rather than subscribed — the 2023 release is current, with its own master and upgrade guides. Outside the atlas because there is no adoption decision to model: you have a BW system or you do not, and what is entered here is the tooling that reaches one. objects to create data products and share them to SAP Databricks, and a Query Template Generator sits beside it for migration.
Where it sits
Lives in
Provides
Cataloguing and lineageBTPCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.
Designs
Agentic AI & AI AgentsAgentic AI & AI Agentsgoverned SAP analytics data the gateway's tools act on
Before choosing this
Conditions
PracticalFunctional boundary
It presumes the estate it governs: intelligent content is installed and viewed rather than authored, and the catalog is only as useful as what has been published into it. The Databricks path is a direction data goes, which is a decision about where analytics happens and not only about a tool.
What it declares
Every artifact
- Type
- Service
- Origin
- By SAP
Connections
Group by
NodeRelationBasis
Functional
Cataloguing and lineageCataloguing and lineageFinding what data exists, what it promises and where it came fromSAP and community, unassessed
provides
stated
provides Cataloguing and lineage
Is the catalog and the data-product layer rather than a client of one — identify, enrich, publish and promote trusted data and analytic assets, and install and view intelligent content.
“Identify, enrich, publish, and promote the use of your organization's trusted data and analytic assets”
Finding what data exists, what it promises and where it came from
Technical
sap-bdc-mcp-serversap-bdc-mcp-serverMCP server managing Delta shares in SAP Business Data Cloudindependent, btp
used by
derived
used by sap-bdc-mcp-server
The account the shares are registered with and the data products are published to.
“- SAP Business Data Cloud account”
MCP server managing Delta shares in SAP Business Data Cloud
teched2025-DA265teched2025-DA265TechEd 2025 workshop on Just Ask natural-language questionssap official, btp
used by
derived
used by teched2025-DA265
the formation the SAP Analytics Cloud tenant has to be part of for Just Ask to index its models.
“SAP Analytics Cloud must be part of a Business Data Cloud Formation, which includes SAP Datasphere, to support a planned ‘tunnel’ connection for Just Ask to index BDC models.”
TechEd 2025 workshop on Just Ask natural-language questions
teched2025-DA266teched2025-DA266TechEd 2025 material on two SAP Databricks scenarios in BDCsap official, btp
used by
derived
used by teched2025-DA266
where the two data products are shared from and the enriched one is published back to; its cockpit is the way into the workspace.
“Access to SAP Business Data Cloud Cockpit: https://trial-bdc-core-3.eu10.hcs.cloud.sap/”“Re-sharing custom Data Product to BDC Data Catalog with `sap-bdc-connect-sdk`”
TechEd 2025 material on two SAP Databricks scenarios in BDC
Download
Learn more
Readings
- 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
- 🔴 Your Agent Wants to Call SAP. Now What?🔴 Your Agent Wants to Call SAP. Now What?Devtoberfest 2026 session INT-23, on what belongs between an agent and an SAP system. A solution advisor and an enterprise architect point Joule Desktop extensions at MCP servers built on API Management inside SAP Integration Suite, and ask it for business partners, orders and line items from an S/4HANA demo system; asked for the ten largest customers it answers from a sample of 200 orders rather than reading the whole table. They then open the API proxy behind it, where a spike arrest policy caps the backend at ten calls per second and the MCP server is configured to expose only the GET resources of the business-partner API so that an agent cannot create one, which is where the edges to Serve your application over MCP and Rate limiting hold. For totals across all sales orders they send the agent to SAP Business Data Cloud instead of the transactional system, since it aggregates and is read-only, and back through Integration Suite for writes such as journal entries.SAP Developers, published 2026-09-30SAP Developers, YouTube — SAP Developers playlists
- SAP BDC and AI: A Perfect MatchSAP BDC and AI: A Perfect MatchA 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.SAP Developers, published 2026-09-29SAP Developers, YouTube — SAP Developers playlists
25 more
- Strategy and Tool Updates on BW Modernization with SAP Business Data CloudStrategy and Tool Updates on BW Modernization with SAP Business Data CloudDevtoberfest 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.SAP Developers, published 2026-09-22SAP Developers, YouTube — SAP Developers playlists
- Transforming Enterprise Data Strategy with SAP Business Data CloudTransforming Enterprise Data Strategy with SAP Business Data CloudSAP's layered picture of SAP Business Data Cloud, from lake storage and compute up to a knowledge core and agents, with eight sub-pages that each work one part through. The data products page is the cataloguing and lineage part: datasets described by Open Resource Discovery metadata, listed in the BDC catalog and shared over Delta Sharing to SAP Databricks and SAP HANA Cloud, with SAP Datasphere as a consumer on the intelligent content page; other pages install intelligent content, bring SAP BW data in through the Data Product Generator, provision groups by SCIM from Cloud Identity Services into SAP Databricks, which is identity provisioning, and train predictive models in SAP Databricks that SAP AI Core then serves for batch and real-time scoring. The main page states direction more than mechanism, and the BW page marks SQL Share for derived and OData for analytical data products as to be available.published 2026-05-12SAP Architecture Center, SAP Architecture Center
- Explore your Hyperscaler data with SAP Business Data CloudExplore your Hyperscaler data with SAP Business Data CloudSAP's map of the ways data held on hyperscaler and partner platforms is joined with SAP data in SAP Business Data Cloud, with a sub-page each for AWS, Azure, Google Cloud, Databricks and Snowflake. It sets four modes side by side: BDC Connect shares data products in both directions over the Delta Sharing protocol from the object store layer, while in the SAP Datasphere layer federation reads remote tables in place, Replication Flows copy SAP data out to stores such as Amazon S3 or Google BigQuery, and Data Flows import files and transform them into Datasphere tables, the last three being the ground loading a warehouse covers. The Snowflake and BigQuery connectors are dated to 2026 releases, and a closing page lists what slows federation, from source and tenant in different regions to queries that do not filter and aggregate at the source.published 2026-05-08SAP Architecture Center, SAP Architecture Center
- Data Product Governance in SAP Business Data CloudData Product Governance in SAP Business Data CloudA 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.SAP DevelopersSAP Developers, YouTube — SAP Developers playlists
- Enhancing agentic AI with trusted business dataEnhancing agentic AI with trusted business dataHow SAP Business Data Cloud gives AI applications and agents governed access to business data and its context, and how zero-copy architectures let AI read enterprise data with less of it moved, which is the data federation concern. The abstract names the product and the architecture and states no mechanism or product the zero-copy path runs over. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA100V, virtual), presented by Aruna Kashinath, Hannes Keil and San Tran, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Reimagining master data as the foundation for enterprise AIReimagining master data as the foundation for enterprise AIMaster data as the foundation for AI: SAP Business Data Cloud unifying, governing and delivering master data as reusable data products, the cataloguing and lineage concern, for analytics, autonomous applications and AI that share one business context. The abstract names no component of Business Data Cloud and no master data product, and Reltio, the co-presenter's company, is not named in it. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Enriching AI models with SAP AI Core in SAP Business Data CloudEnriching AI models with SAP AI Core in SAP Business Data CloudThe integration between SAP Business Data Cloud and SAP AI Core, through which data products with their semantics feed AI models for benchmarking, custom AI development and agentic analytics and applications. The abstract names the two products and the three uses and states nothing about how the data reaches AI Core or what the integration consists of. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by San Tran and Sandy Tran, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Build real-time, unified data products for agentic AI with SAP ReltioBuild real-time, unified data products for agentic AI with SAP ReltioSAP Reltio inside SAP Business Data Cloud unifies master data across SAP and third-party systems and complements SAP Master Data Governance, in SAP's abstract, with Customer 360 as the named scenario and real-time data products for applications, analytics and AI as the output. The abstract states Reltio's place in the product and nothing about how the unification or the data products work. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig, Rene Kirchhoff, Richard Mooney and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Build and govern data products in the Joule Studio solutionBuild and govern data products in the Joule Studio solutionData products in SAP Business Data Cloud are built and deployed from Joule Studio, in SAP's abstract, with no-code, AI-assisted tools that combine SAP and third-party data, and are then governed, catalogued and shared for analytics and AI, the cataloguing and lineage concern on the product side. The abstract names the steps and not what a data product built this way contains or how Joule Studio reaches the data. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Arne Ludwig, Aruna Kashinath, Rene Kirchhoff and Sandy Tran, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Share data products with zero copies using SAP Business Data Cloud ConnectShare data products with zero copies using SAP Business Data Cloud ConnectSAP Business Data Cloud Connect shares data products between SAP Business Data Cloud and third-party platforms with zero-copy access, in both directions and for metadata as well as data, in SAP's abstract, with the business context kept on the way. The abstract names the product and its two properties, bidirectional and zero-copy, and does not say which third-party platforms or which protocol carry the sharing. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Babacar Toure, Hannes Keil, Maria Uruena and Neetha Pucknat, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Agentic SAP BW modernization: Your path to SAP Business Data CloudAgentic SAP BW modernization: Your path to SAP Business Data CloudStrategies for moving from SAP Business Warehouse to SAP Business Data Cloud, with dedicated migration tools and AI agents to shorten the move while keeping what was built in SAP BW, the platform migration concern for a warehouse. A Fresenius speaker co-presents; the abstract names neither the migration tools nor the agents. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Constantin Herbst, Hannes Keil and Sandy Tran, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Agent-to-agent in action: SAP and Adobe CX Enterprise Coworker at HenkelAgent-to-agent in action: SAP and Adobe CX Enterprise Coworker at HenkelA customer story: SAP's data agents and SAP Business Data Cloud with Adobe CX Enterprise Coworker putting enterprise data in front of Henkel's marketing teams, with faster decisions as the stated result. The abstract names Business Data Cloud as the data side of an agent-to-agent setup and says nothing about what it does there or how the two agents talk; neither Adobe's product nor the data agents are atlas entries. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Ankur Jain, Ramalingam Ramani and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.Thomas Hammer, SAP TechEd — session catalogue
- Accelerate agentic planning with trusted data productsAccelerate agentic planning with trusted data productsGoverned data products as the ground for AI planning in SAP Analytics Cloud: using a ready data product or building one in SAP Business Data Cloud, the cataloguing and lineage concern, then agentic AI automating planning tasks and producing insights on top. The abstract names the two products and the data product step and does not say which planning tasks the agents take over. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Jie Deng, Maximilian Paul Gander and Richard Mooney, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Transform business data into AI-supported insightsTransform business data into AI-supported insightsBusiness metrics turned into insights, narratives and recommendations by SAP Joule's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics Cloud connected in SAP Business Data Cloud. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- The future of the SAP Business Data Cloud solution: Data and AI road mapThe future of the SAP Business Data Cloud solution: Data and AI road mapThe road map for SAP Business Data Cloud as the data foundation of SAP Business AI Platform: upcoming work in data products, AI models and agentic analytics, framed as activating business context and running autonomous processes. A road map session, so nothing in it ships yet, and the abstract names the three areas and no item within them; a Fresenius speaker co-presents. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA802V, virtual), presented by Constantin Herbst and Prakash Nanduri, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- What’s next for agentic analytics and planning in SAP Business Data CloudWhat’s next for agentic analytics and planning in SAP Business Data CloudWhat is next for agentic analytics and planning in SAP Business Data Cloud: SAP Joule's agents automating insight delivery, analysis, narrative generation and modelling tasks. A road map session; the abstract names the four kinds of task and no agent or date. A TechEd 2026 session (Tuesday 27 October, Berlin; also DA806V, virtual), presented by Kristian Ruemmelin, written here from SAP's abstract; the recording is not yet published.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
- AI-enhanced analytics with SAP Business AI PlatformAI-enhanced analytics with SAP Business AI PlatformSAP Business Data Cloud data products joined to an ontology, a semantic layer the abstract says is supported by the Model Context Protocol, and read from Joule Work (SAP Joule) and SAP Analytics Cloud: that is the architecture SAP's abstract states for its AI-enabled analytics. The abstract names the parts and not how the semantic layer is modelled or what an analytics developer builds against. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Hacen Benkhedah, Joaquin Recio Huertas, Matilda Hyka and Oliver Huth, written here from SAP's abstract; the recording is not yet published.Joaquin Recio Huertas, SAP TechEd — session catalogue
- Build agentic SAP extensions with Google CloudBuild agentic SAP extensions with Google CloudGoogle Cloud's architectures for agentic AI apps on SAP with a clean core: SAP Business AI Platform, SAP S/4HANA and SAP Business Data Cloud joined with BigQuery, Gemini and Google's Agent Development Kit. The abstract names zero-copy data agents, developer API workflows and ABAP extensions for AI integration, the last of which is the Extensibility concern; Business Data Cloud is the one atlas entry it names, and how any piece connects to another is not stated. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Ekaterina Kruse, Ian Moria and Stany Winkler, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Joule and SAP Knowledge Graph: Context-aware AI across SAP solutionsJoule and SAP Knowledge Graph: Context-aware AI across SAP solutionsThe catalogue carries RA107's abstract under this title, and what it describes is SAP AI Core as the management and orchestration layer of an AI architecture: extending Joule Agents in SAP Joule, the model library in Joule Studio for contextual reasoning, connecting data products from SAP Business Data Cloud, and embedding AI in SAP S/4HANA. The SAP Knowledge Graph the title names does not appear in that text, so the edges rest on the abstract as published, and whether the session follows the title or the abstract is not known until it is recorded. A TechEd 2026 session (Wednesday 28 October, Berlin; also RA110V, virtual), presented by Jan Portisch and Pavithra G K, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Building custom Joule Agents with SAP Knowledge GraphBuilding custom Joule Agents with SAP Knowledge GraphCustom Joule Agents built in a hands-on with SAP Knowledge Graph and Joule Studio: discovering APIs from a user's intent, grounding an agent's answers in business context, and integrating data products for SAP Business Data Cloud. The agents are SAP Joule's; the Knowledge Graph is not an atlas entry, and the abstract does not say which Joule Studio edition the exercises use. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Jan Portisch, Lucas Kiesow, Pavithra G K and Rafael Martin, written here from SAP's abstract; no recording is announced.SAP TechEd — session catalogue
- Architecting your data foundation for the Autonomous EnterpriseArchitecting your data foundation for the Autonomous EnterpriseBuilding a data foundation for what SAP calls the Autonomous Enterprise on SAP Business Data Cloud: a business data fabric that unifies trusted data, business context and governed data products across an organisation's systems, so that Joule Agents in SAP Joule have the context their answers rest on. The abstract states Business Data Cloud's role and no product, data product or integration beneath it. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Mudit Mittal and Prakash Nanduri, 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
- The next evolution of SAP Business Data Cloud with Dremio and SAP ReltioThe next evolution of SAP Business Data Cloud with Dremio and SAP ReltioSAP Business Data Cloud's data fabric with two additions SAP's abstract names, Dremio and SAP Reltio: data products, open catalogues, unified master data and business semantics as the pieces of a data foundation for analytics and agentic AI. The abstract names the two products and not what each takes over in the fabric. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Florian Schmidt, Rene Kirchhoff and Sriraj Rajaram, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
- Build AI agents on SAP and non-SAP data and context in an open lakehouseBuild AI agents on SAP and non-SAP data and context in an open lakehouseSAP Business Data Cloud as an open lakehouse: the abstract states that it holds third-party data beside SAP data and its semantic context on Apache Iceberg and Apache Polaris, that architects and developers publish governed data products and ontologies from it, which is the cataloguing and lineage concern, and that agents built on them for SAP Joule can be reached from outside over A2A. How a data product is defined, and what the ontology layer adds to it, is not in the abstract. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Rahim Bhojani and Sivakumar N, written here from SAP's abstract; the recording is not yet published.SAP TechEd — session catalogue
What’s New
from SAP Help Portal, readhelp.sap.com/whats-new, SAP Business Data CloudSAP’s wordsOn SAP Help Portal
97 entries from to , counted per month.
System Mappings for Content Transport Between SAP Datasphere Tenants
Release States for Intelligent Content and Data Packages
Improved Diagnostics for Data Product Activation
Release State Metadata for SAP Datasphere Assets
Data Center Updates
Data Center Updates
Data Center Updates
SAP Business Data Cloud Connect : Google BigQuery available in Azure
Data Center Updates
Data Center Updates
Automatic Addition of Custom Fields to Data Products
Data Center Updates
Side-by-side major version installation
Automatic Extraction of Account Dimension Members from SAP Analytics Cloud Classic Models
Data Product Life Cycle Status
Release Status Indicators for Data Product Objects and Columns
Data Product Governance Improvements
Data Center Updates
Integration with SAP Reltio in SAP Business Data Cloud
Data Center Updates
Data Center Updates
Data Center Updates
Import/Export CU Estimations from/to a JSON file
Intelligent Content Combining Data Products from Multiple Systems
View Release Notes for Available Updates
View Data Product Version History in the Catalog
SAP BDC Connect for Google BigQuery
Data Center Updates
Data Center Updates
Data Center Updates
Bulk Management of Data Products
Validation Checks for Intelligent Content Installation and Update
Intelligent Content
Accessing Records Dropped During Data Pipeline Run
Impact and Lineage Analysis Diagram Includes Target Systems for Shared Data Products
Enhanced SAP Analytics Cloud Asset Type Support
Data Center Updates
Mapping Configuration Update for SAP S/4HANA Cloud Private Edition Tenants
Release of SAP Snowflake in SAP Business Data Cloud
Bidirectional data sharing with SAP BDC Connect for Snowflake and SAP Snowflake
Deactivation of Data Products Used by Intelligent Applications
Pre-Installation/Activation/Update Check
Individual Data Product Management
Intelligent Application and Data Package References Available in the Data Product Details
End-to-end Data Observability and Monitoring
Global CSR Signing in SAP S/4HANA Cloud Private Edition
Display Data Protection and Privacy Tags in the Catalog
SAP Business Data Cloud data product metadata available in SAP Databricks
Impact and Lineage Analysis Diagram Support for BW Data Transfer Process
New Data Centers
Share Data Products to SAP Datasphere , Data Composer
New Data Centers
Data Product Statuses
Installing an Intelligent Application for Two or More Source Systems
Uninstallation/Deactivation in case of Commercial Entitlement Loss
New Data Centers
BW Query Objects (ELEM) from SAP BW 7.5 Included in the Impact and Lineage Analysis Diagram for an SAP Analytics Cloud Model or Story
Integration with SAP HANA Cloud
New Data Centers
Intelligent Application/Data Package Incompatibility Alerts
Migrate Catalog Content from a Standalone SAP Datasphere Setup to an Integrated Setup with SAP Business Data Cloud
Information About Objects for a Data Product's API is Available
New Data Centers
SAP Business Data Cloud Connect Available in the SAP Business Data Cloud Capacity Unit Estimator
Provide Additional System Details when Sharing Data Products
Usability Enhancements in the Intelligent Applications and Data Packages Section.
Tracking User Activities
Release of SAP Business Data Cloud Connect
Integration with SAP SuccessFactors
Onboarding Guide
Improved Metadata Extraction Monitoring for Data Products
Share Data Products to SAP HANA Cloud
Share Data Products from Existing Databricks Systems to SAP Business Data Cloud
Data Subscription (DSUB) Objects Available in the Assets Collection
Display User-Friendly System Name in Impact and Lineage Analysis Diagram
Share Data Products to Existing Databricks Systems
Provision SAP Business Data Cloud Connector for Supported External Systems
Installation Statuses
Automatic Synchronization after Application Upgrade
Delta Share Data Products Available in the Data Products Collection
Bundled SAP Cloud Identity Services Tenant
Integration with SAP S/4HANA Cloud Public Edition
Import Terms and Key Performance Indicators
Share Data Products to SAP Customer Data Platform
SAP Datasphere Models Included in the Impact and Lineage Analysis Diagram for an SAP Analytics Cloud Insight
Improved Share Status Monitoring for Data Products Shared to Target Systems
Usability Improvements to Enhance Your Catalog Experience
Integration with SAP Customer Data Platform
Installation / Activation Issue Cleanup Support
Connectivity Test
BW Query Objects Included in the Impact and Lineage Analysis Diagram for an SAP Analytics Cloud Story
SAP Datasphere Tables Included in the Impact and Lineage Analysis Diagram for a Data Product
SAP Business Data Cloud Product Suite in SAP for Me
Intelligent Applications
Release of SAP Databricks in SAP Business Data Cloud
Installation / Activation Issue Recovery Improvement
Release of SAP Business Data Cloud
Others providing
Compare all 7 on the Cataloguing and lineage page →Cataloguing and lineageCataloguing and lineageFinding what data exists across the estate and what it promises — catalogs and data products, the contract a consumer can rely on, where a field came from, and what a column actually contains once you profile it. The question asked before modelling starts and again when somebody asks where a number came from.SAP and community, unassessed
- SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btpCloud data warehouse with spaces, views and analytic models
- SAP Datasphere Plugin for ClaudeSAP Datasphere Plugin for ClaudeEighteen Datasphere skills over a bundled 45-tool MCP server — exploration, view and analytic-model design, BW Bridge migration, security architecture and catalog governance.independent, btpEighteen Datasphere skills over a bundled MCP server
- sap-bdc-mcp-serversap-bdc-mcp-serverAn MCP server over SAP's BDC Connect SDK that creates, validates, publishes and deletes Databricks Delta shares as data products in SAP Business Data Cloud.independent, btpMCP server managing Delta shares in SAP Business Data Cloud
- @mariodefe/sap-datasphere-mcp@mariodefe/sap-datasphere-mcpForty-five tools across a Datasphere tenant — discovery, metadata, analytics, ETL extraction, database users, lineage and column profiling — with config-driven PII masking applied before anything reaches the model.independent, btpMCP server with forty-five tools across a Datasphere tenant
- sap-bdc-mcpsap-bdc-mcpDiscovery and contract tooling for SAP Business Data Cloud — ORD discovery, CSN contract checks and non-executing share planning — behind redaction, policy gates and bounded output.independent, btpMCP tooling for SAP Business Data Cloud discovery and contracts
- mcp-sap-datasphere-servermcp-sap-datasphere-serverThe read-only Datasphere server: explore spaces, list assets, preview rows, profile columns and summarise analytical models — and nothing that changes anything, by design.independent, btpRead-only MCP server for exploring SAP Datasphere
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
- SAP publishes the What's New entries for SAP Business Data Cloud on its own feed; the entry linked none before.
- 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.
- First seen.
For your agent
- Ref
artifact:btp-business-data-cloud- JSON
- /artifacts/btp-business-data-cloud.json
- MCP
- Connecting an agent