Mar 16-19, 2026Las Vegas, Nevada, NV
SAP Data Warehouse Cloud
Featured Insiders
Upcoming Events
SAPinsider Las Vegas 2026
Related Vendors
SAP Data Warehouse Cloud — Foundation for Today’s Analytics
Data warehouses have been staples of enterprise analytics and reporting for decades. Many SAP customers have been using SAP’s on-premise data warehouse solution, SAP Business Warehouse (SAP BW). With mainstream maintenance set to end for SAP BW 7.5 in 2027, many SAP BW customers have been moving to SAP BW/4HANA.
Yet, these popular data warehouses aren’t designed to handle today’s burgeoning data of increasingly different types that reside in diverse data stores across the world in company data centers, and private and public cloud.
SAP Data Warehouse Cloud — Foundation for Today’s Analytics
Data warehouses have been staples of enterprise analytics and reporting for decades. Many SAP customers have been using SAP’s on-premise data warehouse solution, SAP Business Warehouse (SAP BW). With mainstream maintenance set to end for SAP BW 7.5 in 2027, many SAP BW customers have been moving to SAP BW/4HANA.
Yet, these popular data warehouses aren’t designed to handle today’s burgeoning data of increasingly different types that reside in diverse data stores across the world in company data centers, and private and public cloud.
Cloud Data Warehousing has brought a revolution to the space. With the cloud, data warehouses are not constrained by physical data space and can scale up and down to meet requirements. They can also meet the demand for rapid access to analytics by business users in various formats.
While there are many cloud data warehouses, SAP rolled out a unique bundled solution that combines many aspects of the data infrastructure in a well-integrated manner. Watch this video presentation from SAP to learn about the evolution of SAP’s data warehousing — The future of data warehousing.
SAP Data Warehouse Cloud combines data and analytics solutions in the cloud. It is a software-as-a-service (SaaS) that includes database, data warehouse, data integration, and analytics, all built on the SAP HANA Cloud database.
There are four main challenges that organizations have faced when it comes to data management, warehouse, and analytics solutions: scalability, complexity, ease of use, and business semantics — as outlined in this expert article.
SAP solves these challenges with these key features of the SAP Data Warehouse Cloud:
- Connect data across multi-cloud and on-premise repositories in real time to SAP or third-party analytics solutions such as Qlik,
- Empower users with a no-code environment to connect, model and visualize data.
- Analyze all types of structured, unstructured, and geospatial data with in-memory speed.
- Accelerate implementation with pre-integrated database, data warehouse, data intelligence, data lake, and analytics capabilities.
- Reuse existing BW models, transformations, and customizations with the BW bridge option.
What can current SAP BW or SAP BW/4HANA customers do? They can choose to move their data to SAP Data Warehouse Cloud and run it on various cloud solutions such as NetApp, AWS, Google Cloud, and Microsoft Azure. Alternatively, they can just have SAP Data Warehouse Cloud consume the datasets directly from SAP BW/4HANA. They can also deploy a hybrid model and leave some data on premise in SAP BW/4HANA and put some data in the cloud in SAP Data Warehouse Cloud.
Data architects must carefully assess the pros and cons — business needs, costs, technical requirements, risk — to identify the future of their data warehousing. This article can get you started on building an agile data platform with SAP Data Warehouse Cloud.
20 results
Key Benefits of SAP DatasphereJan 9 — SAP Datasphere, part of SAP's Business Technology Platform, enhances organizational data connectivity and integration by providing universal access to analytics, facilitating improved decision-making, operational efficiency, and innovation through a flexible and scalable architecture.
2 minute read
Transform Your Data Strategy: Building a Cloud Data Warehouse with Boomi for SAP and Boomi Business Data IntegrationNov 4, 2025 — In an era where data drives decision-making, enterprises must harness their data effectively to gain a competitive edge. Watch now for an engaging webinar that will delve into how Boomi for SAP, coupled with the innovative Boomi Data Integration SAP Connector, can help organizations unlock their data goldmine and build a successful cloud data warehouse. With Boomi Data Integration no-code and user-friendly interface, you can easily load SAP data into any cloud data warehouse, lakehouse, or application and surface valuable analytical insights combining your SAP data with non-SAP data sources.
What You Will Learn:
- Introduction to Boomi's Integration Platform: Learn how Boomi's low-code integration platform simplifies the connection between SAP systems and other data sources, ensuring a seamless flow of information across your organization.
- The Value of Data Integration: Discover why integrating data from various sources is essential for creating a comprehensive view of your enterprise data, driving better insights and strategic decisions.
- Unveiling the BDI SAP Connector: Get an in-depth look at the new Business Data Integration SAP Connector, designed to facilitate real-time data access and integration, enabling enterprises to leverage their SAP data like never before.
- Experience a live demonstration showcasing the BDI SAP Connector in action. See firsthand how easy it is to integrate SAP data and unlock valuable insights for your organization.
2 minute read
Optimizing SAP Data Warehouses with DBT: A Comprehensive Guide to Enhanced AnalyticsApr 10, 2025 — Integrating DBT with SAP Data Warehouses enhances business analytics by streamlining data transformation, improving data quality and governance, and facilitating collaboration, thus enabling organizations to leverage their data more effectively for informed decision-making.
6 minute read
SAPinsider Buyers Guide 2025: Data Management & AnalyticsDec 31, 2024 — The 2025 SAPinsider Buyers Guide for Data Management & Analytics assists SAP organizations in overcoming challenges related to disconnected data environments and evolving towards data-driven enterprises in a cloud-centric landscape.
1 minute read
How SAP Datasphere Connects Business and ITAug 19, 2024 — SAP Datasphere (Previously SAP DWC) is a cloud-based data warehousing solution that connects business and IT by providing a unified data integration, modeling, and analytics platform. It allows business users to access and analyze data in real time while providing IT with the tools to manage and govern data.
1 minute read
Extending AI and Innovation with Google Data CloudJan 16, 2024 — As companies ramp into the AI space, many are under the impression that they can simply apply AI to their existing data to supercharge its value. Sadly, this is not the case. Companies must overcome the barriers between data and AI before they can automate and enhance their data. Google Cloud is working to break down barriers between data and AI to unleash the value that businesses need to stay ahead of the competition.
In this article, you will learn about Google Data Cloud, which bills itself as a “unified, open, and intelligent data ecosystem” that caters to different use cases and personas within an organization. We will take an in-depth look at how Google Data Cloud caters to AI functionality and helps organizations become truly data driven. We will also examine this solution in an SAP context and highlight how it can become the backbone to a sound data strategy.
6 minute read
SAP Partners with Google Cloud to Bring AI to DatasphereSep 18, 2023 — SAP announced that it is partnering with Google Cloud to enhance its generative AI offerings, focusing initially on the automotive sector to advance sustainability performance. Leveraging the strength of SAP Datasphere and Google Cloud Vertex AI, the collaboration aims to facilitate the development and training of generative AI models using data from Catena-X, an open data ecosystem supported by SAP for the automotive industry.
This collaboration seeks to unify data foundations, integrating business data from SAP Datasphere with third-party Environmental, Social, and Governance (ESG) datasets and Google Cloud's generative AI models. This integration is expected to boost analytics capabilities, offering advanced AI tools and large language models to businesses. While this initiative primarily targets the automotive industry, broader collaborations are anticipated in the future.
For SAPinsiders, this development signifies a pivotal shift, as SAP Datasphere becomes a critical component in the evolving generative AI landscape, serving as the central system recording data from various SAP and non-SAP sources across enterprises. It is crucial for SAPinsiders to gear up technologically to fully exploit the potential of these new AI offerings. Future collaborations might extend to other data platforms including Microsoft Azure and AWS. To maximize the usefulness of AI solutions, organizations should evaluate their technological readiness and identify priority scenarios to streamline deployment and optimize benefits.
3 minute read
Getting started with data warehouse cloudMay 26, 2021 — SAP's advanced data warehouse, SAP Data Warehouse Cloud is SAP's latest technology driving advanced data management for analytics. A cloud-based system, SAP Data Warehouse Cloud, offers a new paradigm for taming data chaos in your enterprise by bringing many data sources together into a smoothly function data store, ready for advanced analytics.
Attend this comprehensive session to:
-Learn about SAP Data Warehouse Clouds features and advantages
-Explore advanced user management called "Spaces"
-Explore the deep integration capabilities offered by SAP Data Warehouse Cloud
-Learn about the roadmap for the year head
-Find out where and how to start a free trial of SAP Data Warehouse Cloud
1 minute read
The future of data warehousingMay 26, 2021 — The practice of managing data for the next generation of analytics is rapid evolving. Advanced techniques of combining multiple data sources into a single data fabric, managing user privileges and communities, and data sharing throughout the cloud offer new capabilities and new risks in delivering data in the cloud.
1 minute read