Everything in the atlas
Type
Domain: Data & Persistence
Origin
Signals
More: 2
Group by: Capability
MCP server with forty-five tools across a Datasphere tenant
It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.
MCP server for BW/4HANA modelling objects
Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.
SaaS for business intelligence, planning and predictive analytics
A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.
Cloud data warehouse with spaces, views and analytic models
A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.
Eighteen Datasphere skills over a bundled MCP server
It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.
MCP server for the SAP Analytics Cloud REST API
Ninety tools is a large surface to put in front of a model at once, and client-credentials OAuth means the tenant sees one identity rather than the person asking. Content transport and user management sit in the same tool list as reading a story.
Tutorials and use cases for SAP HANA database and analytics products
Course files for Developing Data Models with SAP HANA Cloud
TechEd 2025 jump-start on a semantic model in SAP Datasphere and SAC
TechEd 2025 workshop on Just Ask natural-language questions
TechEd 2025 workshop on seamless planning for xP&A in BDC
Ready-to-use web application for enterprise content
APIs and a UI5 component for document management in apps
Managed Redis from the hyperscaler via a BTP service binding
MCP server with forty-five tools across a Datasphere tenant
It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.
Read-only MCP server for exploring SAP Datasphere
Business Source License 1.1, which is source-available rather than open source: reading and evaluating are fine, and production use is restricted until the licence's change date. That is a procurement question, not a technical one, and it is the thing to settle first. Read-only also means read-only — no modelling, no loads.
Data products, a governed catalog and a path to SAP Databricks
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.
Cloud data warehouse with spaces, views and analytic models
A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.
Eighteen Datasphere skills over a bundled MCP server
It reaches a data warehouse, so what an agent can see is business data by definition — the SQL sanitisation and PII filtering in the server are there because of that, not instead of a decision about it. And the guidance is Datasphere-shaped: nothing here transfers to a HANA Cloud database used directly.
MCP tooling for SAP Business Data Cloud discovery and contracts
Business Source License 1.1: source-available, with production use restricted until the change date — settle that before anything technical. And the governed execution path in v0.2 does act on data, which is a different grant from the discovery the v0.1 baseline offered.
MCP server managing Delta shares in SAP Business Data Cloud
Cloud service replicating master data across a hybrid landscape
Managed SAP HANA database service on BTP
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.
Developer-centric command line for SAP HANA
SAP's Node.js driver for SAP HANA
Pure JavaScript SAP HANA driver for Node.js
Its own feature comparison marks connection pooling, automatic reconnect, active-active reads, client-side data encryption, statement distribution, Kerberos authentication, the hdbuserstore, promises and TypeScript types as [@sap/hana-client](https://www.npmjs.com/package/@sap/hana-client) only, so a service that wants a pool or a promise API writes both itself over a callback interface. OpenSSL is its one security provider where the other driver lists SAP CommonCryptoLib, OpenSSL and MSCrypto, and it runs on Node.js 18 or later.
Managed PostgreSQL from the hyperscaler via a BTP service binding
Managed SAP ASE databases on BTP for Java applications
SAP's relational database platform, on-premise and in HANA Cloud
For provisioning a managed database on BTP, see [SAP HANA Cloud](artifact:btp-hana-cloud). Features differ between HANA versions; an on-premise deployment and a cloud instance are not interchangeable without compatibility checks.
Managed SAP HANA database service on BTP
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.
Managed SAP HANA 2.0 databases in fixed sizes on SAP BTP
Promise-based wrappers around the SAP HANA client libraries
Java demo running Spring and Hibernate against SAP HANA
SQL scripts and a notebook for SAP HANA's built-in graph algorithms
Starting project for a tutorial on NoSQL, graph and spatial in HANA
TechEd 2023 session on SAP HANA features over HDI
TechEd 2025 workshop on SAP HANA Cloud's AI capabilities
MCP server with forty-five tools across a Datasphere tenant
It writes and it administers — ETL extraction and database user management are not read operations, and the same connection that profiles a column can move data out of the tenant. Masking is only as good as the configuration naming the fields, so an unlisted sensitive column is an unmasked one.
MCP server for BW/4HANA modelling objects
Its README says it plainly and so does this entry: this is not a simulation, every tool call reaches a live BW system, and write operations produce real changes. BW modelling objects are the definition of a warehouse — the blast radius of a wrong one is every report built on it.
dbt adapter targeting SAP HANA Cloud as its warehouse
SaaS for business intelligence, planning and predictive analytics
A tenant with its own model layer, its own transport and its own user administration — content moves between tenants through export and import jobs rather than through your pipeline, and planning brings a calendar and a workflow that a reporting-only use never touches.
Cloud data warehouse with spaces, views and analytic models
A tenant with spaces and a role model, not a database you point an application at — privileges are granted per space, and what somebody can model depends on the scoped role they hold. Federation is the default answer to moving data, and where it is not, a load has to be scheduled and watched.
MCP server for the SAP Analytics Cloud REST API
Ninety tools is a large surface to put in front of a model at once, and client-credentials OAuth means the tenant sees one identity rather than the person asking. Content transport and user management sit in the same tool list as reading a story.
Guides connecting hyperscaler sources into SAP Datasphere in BDC
TechEd 2025 workshop on SAP Business Data Cloud connectivity options
APIs for address cleansing, geocoding and suggestions
APIs for geocoding, map tiles and routing
Developer-centric command line for SAP HANA
Binding onto hyperscaler object storage, chosen by plan