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Datasphere

SAP's data fabric: ERP data harmonized, with its business context, ready for analytics and AI — including third-party platforms.

FOCUS · SAP DATA SET FREEBusiness semantics included: data leaving SAP without losing meaning
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01 · What it is

SAP Datasphere, made clear.

Datasphere (the evolution of Data Warehouse Cloud) acts as the SAP data hub: semantic models that preserve business meaning, copy-free federation where possible, and bridges to lakes and analytics platforms — Databricks, BigQuery, Snowflake.

Semantica
data travels with its context: 'revenue' stays 'revenue'
Federazione
queries on data where it lives: copies only when truly needed
Open
partnerships with data platforms: no fences
SAP Datasphere
OFFICIAL SAP BRANDING · DATASPHERE
INTERFACCIA REALE · JOULE SU SAP DATASPHERE · FONTE: SAP NEWS
REAL INTERFACE · JOULE ON SAP DATASPHERE · SOURCE: SAP NEWS
02 · How to use it well

The things that make the difference.

The data architecture

Analytics & AISAC, notebooks, models
Datasphere · models
Federazione
Replication
meaning · access · copy
S/4, ECC, non-SAPthe harmonized sources
Governance & catalogswho can see what, documented
ERP data, a citizen of the data stack

Business builder

Models speak the language of the business: data engineer and controller understand each other.

Extracting well from SAP

CDS views and deltas: ERP data in near real time, without squeezing the system.

Toward the lakehouse

The bridge to your data platforms: SAP is no longer an island.

Costs and replicas

Federate when you can, replicate when it pays: the balance is a design choice.

03 · In depth

Spaces, models and federation

Datasphere organizes work into spaces with quotas and permissions; inside, the graphical view builder and SQL for models, the business builder for the semantic layer, data flows for transformations and replication for change data capture from SAP sources (extractors and delta-enabled CDS views). Federation queries without copying; the BW bridge brings existing BW objects in, protecting the investment.

  • Space — internal multi-tenancy: isolated teams with their own quotas and connections
  • CDS delta — incremental replication from S/4 CDS views: ERP data near real-time
  • Business builder — dimensions and measures with business meaning: semantics before SQL
  • BW bridge — BW objects inside Datasphere: the migration that doesn't discard the past
  • Partner ecosystem — Databricks, Snowflake, BigQuery federated: the open lakehouse
  • Data marketplace — ready external datasets: market data next to yours
04 · Numbers and lifecycle

The numbers that matter.

0-copy
federation queries the source: copying is a choice, not an obligation
Delta
CDC from SAP sources: minutes of latency, not nightly batches
SaaS
continuous releases managed by SAP
1
shared semantic layer: 'revenue' means one thing only
SAP data free but governed: spaces, semantics and replicas set up by us — analytics drinks from a clean source.
05 · Use cases

Where it really pays off.

Group analytics

SAP data inside the company BI, consistent.

AI on ERP data

Training and RAG on the data that matters, governed.

BW migrations

The modern road for those leaving BW.

SAP data is valuable if it circulates with meaning: Datasphere is the passport, we are the friendly customs.