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 Analytics Cloud
SAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.
The consumption end of everything else on this door. SAP describes it as an all-in-one cloud product offered as software as a service for business intelligence, planning and predictive analytics — three things that are usually three products, which is why import jobs, models, stories, calendars and multi-actions all live in one tool. It is also the stated destination for an analytic model built in Datasphere, so the two are read together rather than compared.
Where it sits
Lives in
Provides
Analytic modellingBTPAnalytic modellingDefining what an analytical client actually reads — the multi-dimensional layer between stored rows and a chart: measures, dimensions, hierarchies, filters and parameters, and the associations somebody navigates them by. Distinct from [analytical queries](capability:analytical-queries), which is a service answering the request a chart sends, and from [loading a warehouse](capability:warehouse-loading), which fills the tables underneath it.Loading a warehouseBTPLoading a warehouseGetting data into an analytical store and keeping it current — connections to source systems, replication and the other integration tasks, import jobs and their lifecycle, and the monitoring that tells you a load failed before a report does. Distinct from [replication](capability:replication), which is an application reading data that lives elsewhere as if it were local rather than a warehouse being filled.
Designs
Integrating and Extending JouleIntegrating and Extending Joulesource of the analytical pattern's insights
Before choosing this
Conditions
PracticalFunctional boundary
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.
What it declares
Every artifact
- Type
- Service
- Origin
- By SAP
As a service
- Plans
- 3
- Regions
- 28
- Support component
- LOD-ANA-ADM-APS
Connections
Group by9 of 9 connections
NodeRelationBasis
Functional
Analytic modellingAnalytic modellingMeasures, dimensions and hierarchies an analytical client readsSAP and community, unassessed
provides
stated
provides Analytic modelling
Holds the models and stories an analytic model is built for, so the semantic layer becomes something somebody looks at — and carries planning on the same models rather than beside them.
“an all-in-one cloud product offered as software as a service (SaaS) for business intelligence (BI), planning, and predictive analytics”
Measures, dimensions and hierarchies an analytical client reads
Loading a warehouseLoading a warehouseGetting data into an analytical store and keeping it currentSAP and community, unassessed
provides
authored
provides Loading a warehouse
Loads its own models through an import-job lifecycle — create, upload, validate, run, status — alongside the public dimensions and the currency and unit conversions those jobs depend on.
Getting data into an analytical store and keeping it current
Technical
@sap/cds-analytics@sap/cds-analyticsCDS plugin adding embedded analytics to CAP for SAP Analytics Cloudsap official, cap
connected from
derived
connected from @sap/cds-analytics
The integration the plugin's own description names: the annotated service view is marked an analytical cube and an analytical provider for it.
“The `@sap/cds-analytics` package is a [CDS plugin](https://cap.cloud.sap/docs/node.js/cds-plugins#cds-plugin-packages) that enhances the SAP Cloud Application Programming Model (CAP) with built-in support for embedded analytics, enabling seamless integration with SAP Analytics Cloud.”“@ObjectModel.supportedCapabilities: [#ANALYTICAL_PROVIDER]”
CDS plugin adding embedded analytics to CAP for SAP Analytics Cloud
analytics-cloud-rpt15-prediction-demoanalytics-cloud-rpt15-prediction-demoFastAPI backend for SAP-RPT-1.5 predictions from SAP Analytics Cloudsap official, btp
connected from
derived
connected from analytics-cloud-rpt15-prediction-demo
SAC opens the connection: a Multi Action starts the job, polls it, and brings the predicted values into the story
“Multi Action button triggers the prediction, polls for the result, and writes the predicted values back so they show up in a story.”
FastAPI backend for SAP-RPT-1.5 predictions from SAP Analytics Cloud
analytics-cloud-scim-api-samplesanalytics-cloud-scim-api-samplesPostman collections for the SAP Analytics Cloud SCIM APIsap official, btp
needed by
derived
needed by analytics-cloud-scim-api-samples
the tenant whose SCIM API the collections call, and where the OAuth client they authenticate with is created; the README asks for a licensed enterprise edition
“Access to a licensed 'enterprise' edition of SAP Analytics Cloud. (Any enterprise edition is supported including public, private, test, non-test editions.)”“Access rights to create an OAuth client within the SAP Analytics Cloud Service.”
Postman collections for the SAP Analytics Cloud SCIM API
btp-spend-analysisbtp-spend-analysisIntegration flows pulling SAP Ariba spend data into SAP Dataspheresap official, btp
needed by
derived
needed by btp-spend-analysis
where the Spend Analysis business content the whole flow feeds is connected and read
“The solution consists of the prebuilt business content for Datasphere and SAP Analytics Cloud to allow you visibility into your Spend data; a custom Integration Flow that orchestrates the transportation of data from Ariba to Datasphere.”“### Step 8: [Connect SAP Analytics Cloud Content](/Tutorial/07-SAC-Connect-Deploy)”
Integration flows pulling SAP Ariba spend data into SAP Datasphere
SAP-samples/btp-resource-consumption-monitorSAP-samples/btp-resource-consumption-monitorApp monitoring SAP BTP credit consumption with alerts on increasessap official, btp
optionally used by
derived
optionally used by SAP-samples/btp-resource-consumption-monitor
the SAC content is activated; the README lists it as optional but recommended as an add-on
the tenant the optional analytical package is imported into, connected live to the HDI container
“The following components are **optional but recommended** as an add-on:
- SAP Analytics Cloud version 2024.08+ (**Note:** this SAC tenant can reside *anywhere*, it doesn't have to sit in the same global account)”“This component is optional but provides additional insights.”
App monitoring SAP BTP credit consumption with alerts on increases
teched2025-DA265teched2025-DA265TechEd 2025 workshop on Just Ask natural-language questionssap official, btp
used by
derived
used by teched2025-DA265
the tenant that holds the acquired model the exercises ask questions of, with AI-assisted features enabled and its users synchronised with SAP Build.
“A SAP Build environment that includes Joule Studio and SAP Analytics Cloud.”“SAP Analytics Cloud has enabled AI-assisted features.”
TechEd 2025 workshop on Just Ask natural-language questions
teched2025-DA267teched2025-DA267TechEd 2025 workshop on seamless planning for xP&A in BDCsap official, btp
used by
derived
used by teched2025-DA267
where the planning model and the story are built; the README also asks for knowledge of planning in it.
“Along the way, we will create a story in SAP Analytics Cloud to plan and report.”“Knowledge of planning in SAP Analytics Cloud”
TechEd 2025 workshop on seamless planning for xP&A in BDC
Download
Learn more
Readings
- 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
What’s New
from SAP Help Portal, readhelp.sap.com/whats-new, SAP Analytics CloudSAP’s wordsOn SAP Help Portal
2 entries from to , counted per month.
SAP Analytics Cloud Q3 2026 Release
SAP Analytics Cloud Q2 2026 Release
Others providing
Analytic modellingAnalytic modellingDefining what an analytical client actually reads — the multi-dimensional layer between stored rows and a chart: measures, dimensions, hierarchies, filters and parameters, and the associations somebody navigates them by. Distinct from analytical queries, which is a service answering the request a chart sends, and from loading a warehouse, which fills the tables underneath it.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
- bw-modeling-mcpbw-modeling-mcpReads, creates and modifies BW/4HANA modelling objects through the same internal APIs Eclipse BWMT and the BW/4HANA Cockpit use — and can run centrally on BTP with each caller reaching BW as themselves.independent, btpMCP server for BW/4HANA modelling objects
- sap_analytics_cloud_mcpsap_analytics_cloud_mcpThe SAP Analytics Cloud REST API as ninety tools across eleven service areas — content, data import and export, user management, transport, scheduling and translation.independent, btpMCP server for the SAP Analytics Cloud REST API
- 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
- @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
Loading a warehouseLoading a warehouseGetting data into an analytical store and keeping it current — connections to source systems, replication and the other integration tasks, import jobs and their lifecycle, and the monitoring that tells you a load failed before a report does. Distinct from replication, which is an application reading data that lives elsewhere as if it were local rather than a warehouse being filled.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
- bw-modeling-mcpbw-modeling-mcpReads, creates and modifies BW/4HANA modelling objects through the same internal APIs Eclipse BWMT and the BW/4HANA Cockpit use — and can run centrally on BTP with each caller reaching BW as themselves.independent, btpMCP server for BW/4HANA modelling objects
- sap_analytics_cloud_mcpsap_analytics_cloud_mcpThe SAP Analytics Cloud REST API as ninety tools across eleven service areas — content, data import and export, user management, transport, scheduling and translation.independent, btpMCP server for the SAP Analytics Cloud REST API
- @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
- dbt-sap-hana-clouddbt-sap-hana-cloudA dbt adapter, installed as a Python package beside dbt-core, that lets a dbt project target SAP HANA Cloud as its warehouse through a profile in profiles.yml.sap official, btpdbt adapter targeting SAP HANA Cloud as its warehouse
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 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.
- 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. Embedding a story in a UI5 app is not something the corpus holds anything about, and SAC grouped under nothing on the UI5 door.
- Added by me the day it was entered, and it did not hold: the data and analytics capabilities are on the BTP door only, so on CAP this was counted behind the door and grouped under nothing. A CAP service reaches it through a destination, which is the BTP door's concern.
- First seen.
For your agent
- Ref
artifact:btp-analytics-cloud- JSON
- /artifacts/btp-analytics-cloud.json
- MCP
- Connecting an agent