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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of SAP Datasphere Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Adobe Professional Services 31360 $23.8B United States SAP SAP Datasphere Data Warehouse 2023 n/a
In 2023, Adobe implemented SAP Datasphere as part of a Data Warehouse initiative to optimize its enterprise data strategy. Adobe will be leveraging SAP Datasphere together with SAP HANA Cloud within SAP Business Technology Platform to reduce complexity and cost while improving efficiency and business value. The SAP Datasphere deployment centers on Data Warehouse capabilities including a unified semantic model, data virtualization and modeling, and managed data integration pipelines to support analytics and reporting. Functional modules implemented include data modeling, virtual and persistent data spaces, a central business glossary, and data lifecycle orchestration to enable governed access for analytics consumers. Integrations explicitly include SAP HANA Cloud and SAP Business Technology Platform, enabling in-platform storage and processing and alignment with platform services for scaling and continued innovation. Governance work emphasizes cataloging, access controls, and policy enforcement provided by SAP Datasphere to standardize data definitions and usage, and the stated outcome is improved efficiency and business value through reduced complexity and cost, aligning Adobe SAP Datasphere Data Warehouse with enterprise analytics objectives.
Alivus Life Sciences Life Sciences 2014 $272M India SAP SAP Datasphere Data Warehouse 2025 n/a
In 2025, Alivus Life Sciences deployed SAP Datasphere as part of a RISE with SAP selection that also included SAP SuccessFactors and OpenText, positioning SAP Datasphere within a cloud managed RISE subscription. The deployment is described in public reporting as part of Alivus Life Sciences commitment to SAP cloud offerings, and it identifies SAP Datasphere as the primary Data Warehouse platform for enterprise data consolidation. The implementation used SAP Datasphere to establish a unified data foundation, employing semantic modeling and cataloging capabilities typical of a Data Warehouse to support integrated reporting and analytics. Configuration emphasis centered on logical data models and data ingestion pipelines to bring together HR data from SAP SuccessFactors and managed content metadata from OpenText, with data virtualization used to present consolidated views for downstream analytics. Operational integration tied SAP Datasphere to HR and enterprise content management workflows, enabling cross functional access to harmonized datasets for finance, human resources, and quality related reporting. The architecture remained within the RISE with SAP cloud managed boundary, which provided the operational context for ongoing data orchestration and connectivity to the selected SAP portfolio. Governance was implemented through centralized data modeling, a metadata catalog, and role based access controls to support enterprise data stewardship and compliance needs. Rollout was structured to phase connectivity and semantic model publication across functions, aligning data delivery with existing business processes rather than introducing new application endpoints.
Bonprix Retail 4000 $1.7B Germany SAP SAP Datasphere Data Warehouse 2024 n/a
In 2024, Bonprix implemented SAP Datasphere, a Data Warehouse platform, as part of a broader analytics stack that also includes SAP BW/4HANA and the SAP Business Warehouse application. The deployment established a dynamic multi cloud data landscape enabling integration of both on premise and cloud data sources into a single platform to support retail analytics across the organization. SAP Datasphere and SAP BW/4HANA were configured to provide a self service semantic layer and centralized analytical processing, with SAP BW/4HANA handling high volume data processing and SAP Datasphere delivering unified data modeling and multi cloud access. The implementation emphasizes semantic models, analytical datasets, and business intelligence workflows to accelerate the business decision making process and provide merchandising and product teams timely access to trend and catalog insights. The platform bridges transactional SAP data across finance, sales, logistics and customer relationship management, exposing integrated data to end users and BI consumers through the cloud data platform. Bonprix also deployed SAP Business AI capabilities, specifically the Document Information Extraction business service, to automate invoice data capture as part of the analytics and process automation landscape. The project was supported by SAP services and partners including Beratungscontor. Governance centered on a governed semantic layer with self service access for business users, which reshaped BI workflows toward federated data consumption and faster report provisioning across departments. The use of the Document Information Extraction business service delivered stated efficiency gains by reducing manual invoice data entry and accelerating invoice processing, and Bonprix positions the SAP Datasphere based Data Warehouse as a strategic asset for daily operations and continued adaptability.
City of Cambridge Government 731 $173M Canada SAP SAP Datasphere Data Warehouse 2019 n/a
In 2019 City of Cambridge implemented SAP Datasphere as its Data Warehouse. The deployment used HANA Cloud on AWS for core data processing and SAP BO 4.3 on cloud through CAL for business intelligence delivery, positioning SAP Datasphere to centralize municipal datasets for reporting and governance. The implementation emphasized standard data warehouse capabilities, including data modeling, data integration pipelines, metadata and semantic layer orchestration, and dataset provisioning to BI consumers. SAP Datasphere was configured to integrate with S/4HANA, Fiori 6.0, Solution Manager on HANA, SAP Analytics Cloud, SAP BOBJ, SAP Lumira, SAP EnableNOW, and SAP BTP, enabling published datasets to feed departmental reporting and analytics. HANA Cloud on AWS served as the scalable compute and storage tier while SAP BTP provided platform services and orchestration for data workflows. Operational governance was led by an SAP Basis Administrator Architect at City of Cambridge Ontario, accountable for implementation, upgrades, security and continuous improvements across S/4HANA, SAP Datasphere and adjacent SAP components. The rollout approach focused on upgrade coordination, security hardening and integration validation across municipal finance and operational functions. Platform administration and data access patterns were centralized to support consistent reporting, dataset governance and ongoing platform maintenance.
Farys Utilities 800 $200M Belgium SAP SAP Datasphere Data Warehouse 2022 Capgemini
In 2022, Farys implemented SAP Datasphere to establish a business data fabric as part of its Data Warehouse architecture and broader cloud modernization strategy. The SAP Datasphere deployment sits alongside SAP S/4HANA deployed in a cloud environment and SAP Business Technology Platform, forming the data foundation for Farys’s smart water platform and mass rollout of smart water meters. The implementation configured SAP Datasphere to provide a unified, authoritative data layer with meter independent connectivity and support for self-service analytics, using SAP Analytics Cloud for exposure of authoritative datasets. SAP HANA Cloud provides in-database AI and machine learning capabilities, and SAP Build was used to create and extend cloud applications such as a GDPR compliant customer self-service portal. The architecture emphasizes a business data fabric approach, enabling governed data models, semantic layers, and role-based access to analytical data. Integrations were implemented explicitly with SAP S/4HANA, SAP Cloud for Energy, SAP Integration Suite, advanced event mesh, and SAP HANA Cloud, orchestrated on SAP Business Technology Platform, with Capgemini as the integration and implementation partner. The advanced event mesh supports event-driven ingestion and distribution of over two million smart meter readings per day, routing events to billing in SAP S/4HANA Utilities, alarm handling apps, and analytics pipelines in SAP Datasphere. Operational coverage spans drinking water management, sewage management, procurement, field service workflows, billing, and customer engagement across Farys’s municipal and regional services. Governance and process changes centered on near real-time data flows, allowing alarms and meter events to trigger automated downstream workflows and operational actions, rather than relying on periodic batch runs. Standardized SAP Fiori interfaces and mobile-enabled apps were rolled out to field teams and partners to enforce consistent processes and provide contextual access to back-end and geographic information system data. Capgemini led the SAP S/4HANA configuration on AWS and co-developed the smart water platform with SAP, supporting a sector-wide rollout in collaboration with two other Belgian water companies. Outcomes reported from the implementation include elimination of overnight reporting runs through real-time reporting, faster sales calculations, improved warehouse visibility, preventive asset maintenance, streamlined employee and partner processes via mobile Fiori apps, and a customer portal that reduced contact center workload. The smart water platform delivers more accurate billing and near real-time consumption insights for customers, while early warnings from meter data support leak detection and reduced water waste. Farys continues to plan extensions such as integrating SAP Asset Performance Management and additional AI use cases to expand consumption forecasting and predictive maintenance.
Professional Services 120 $15M Portugal SAP SAP Datasphere Data Warehouse 2023 n/a
Oil, Gas and Chemicals 4926 $2.8B Finland SAP SAP Datasphere Data Warehouse 2023 n/a
Professional Services 200 $20M United States SAP SAP Datasphere Data Warehouse 2023 n/a
Transportation 101709 $41.4B Germany SAP SAP Datasphere Data Warehouse 2023 n/a
Leisure and Hospitality 10796 $941M Spain SAP SAP Datasphere Data Warehouse 2022 n/a
Showing 1 to 10 of 14 entries

Buyer Intent: Companies Evaluating SAP Datasphere

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating SAP Datasphere. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating SAP Datasphere for Data Warehouse include:

  1. Vinci, a France based Manufacturing organization with 282241 Employees
  2. NTT Data, a Japan based Professional Services company with 197777 Employees
  3. JAB Anstoetz, a Germany based Manufacturing organization with 52 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
Tedi Siec Handlowa Retail 153 $6M Poland 2026-02-26
Vinci Manufacturing 282241 $83.9B France 2026-02-24
NTT Data Professional Services 197777 $31.4B Japan 2026-01-19
Manufacturing 52 $13M Germany 2025-12-04
Consumer Packaged Goods 250 $30M Norway 2025-12-01
Manufacturing 53599 $13.9B Germany 2025-11-11
Communications 100 $13M Germany 2025-10-31
Professional Services 44 $5M Germany 2025-10-30
Manufacturing 100000 $2.4B Sri Lanka 2025-10-08
Banking and Financial Services 60 $6M United States 2025-09-12
FAQ - APPS RUN THE WORLD SAP Datasphere Coverage

SAP Datasphere is a Data Warehouse solution from SAP.

Companies worldwide use SAP Datasphere, from small firms to large enterprises across 21+ industries.

Organizations such as Lufthansa Group, Adobe, Kemira, Bonprix and Melia Hotels International are recorded users of SAP Datasphere for Data Warehouse.

Companies using SAP Datasphere are most concentrated in Transportation, Professional Services and Oil, Gas and Chemicals, with adoption spanning over 21 industries.

Companies using SAP Datasphere are most concentrated in Germany, United States and Finland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SAP Datasphere across Americas, EMEA, and APAC.

Companies using SAP Datasphere range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 28.57%, and global enterprises with 10,000+ employees - 21.43%.

Customers of SAP Datasphere include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified SAP Datasphere customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Warehouse.