Cloud data warehouses · SAP SE

SAP Datasphere

SAP's cloud data warehousing and data-fabric service that virtualizes and harmonizes data across SAP and non-SAP sources.

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SAP Datasphere is SAP's cloud data management service, positioned as a business data fabric rather than a pure warehouse: it combines a managed in-memory data warehouse (built on SAP HANA Cloud) with data virtualization, replication, and cataloging so analysts can query SAP application data (S/4HANA, BW) alongside external data without always physically moving it first. Business layer modeling tools let teams reuse SAP's semantic and analytic models across tools like SAP Analytics Cloud. It ships as a SAP BTP cloud service with connectors purpose-built for SAP's own application landscape, which makes it distinctive versus general-purpose warehouses like Snowflake or BigQuery. Capacity is purchased in Capacity Unit Blocks that combine compute, storage, and premium outbound integration.

At a glance

Vendor SAP SE
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for SAP-centric enterprises needing governed access to S/4HANA and BW data alongside external sources.

Pricing

Sold in Capacity Unit Blocks covering compute, storage, and integration; SAP's pricing page requires contacting sales or a partner for a quote and did not return published figures when checked.

Pricing has not been verified yet — see the vendor's site.

Features

  • Data virtualization and federation across SAP and non-SAP sources
  • Built on SAP HANA Cloud in-memory engine
  • Business layer semantic modeling shared with SAP Analytics Cloud
  • Prebuilt connectivity to S/4HANA, BW/4HANA, and SAP applications
  • Data cataloging and lineage across connected sources
  • Replication flows for near-real-time data movement
  • Space-based multitenancy for governed, team-level data domains

Integrations

Profile last reviewed September 21, 2026

Alternatives

Snowflake Cloud-native data warehouse that separates storage and compute and bills usage in per-second credits. Microsoft Fabric Microsoft's SaaS analytics platform unifying warehousing, lakehouse, pipelines, Power BI, and real-time analytics on OneLake. Teradata VantageCloud Teradata's cloud-delivered evolution of its enterprise MPP data warehouse, unified under a single Teradata Unit pricing currency.

SAP Datasphere in the index now

Terms to know

Data warehouse A centralized, structured database optimized for fast historical reporting rather than day-to-day transactions. Data lineage A traceable record of where data came from, how it was transformed, and where it is used downstream. Data governance The policies, roles and processes that determine how data is defined, owned, accessed and kept compliant. Semantic layer A layer that defines business metrics and dimensions once, centrally, so every tool and report uses the same numbers. Data fabric An architecture that uses metadata and automation to integrate and provide unified access to data across many sources. Data virtualization Querying data across multiple, separate systems in place through a single interface, without first copying it.

Related guides

How to choose a cloud data warehouse Start from your cloud, your pricing tolerance and your workload shape — general BI, high-concurrency apps, or enterprise mixed workloads — not the feature list.