As enterprises increasingly adopt multi-cloud strategies to leverage the unique capabilities of various cloud providers, managing and integrating data across these diverse platforms has become a critical challenge. SAP Datasphere, the evolution of SAP Data Warehouse Cloud, emerges as a powerful solution in this context, enabling seamless data sharing and federation across multi-cloud environments. This article explores the significance of data sharing and federation, the challenges in a multi-cloud setup, and how SAP Datasphere addresses them to deliver unified, governed, and real-time data access.
A multi-cloud environment involves the use of services from more than one cloud vendor—such as AWS, Microsoft Azure, and Google Cloud Platform—either to avoid vendor lock-in, meet specific workload requirements, or improve resilience and performance. However, this strategy introduces several complexities in data management:
Data federation allows users to query and analyze data across different systems without physically moving it. Data sharing, on the other hand, enables direct, controlled access to datasets between different users or systems.
In a multi-cloud context, these capabilities ensure:
SAP Datasphere is designed as a comprehensive data service that extends the power of the SAP Business Technology Platform (SAP BTP). It provides a business data fabric approach—enabling enterprises to manage, integrate, and govern data across various cloud environments.
SAP Datasphere supports real-time data federation, allowing access to data residing in different cloud systems—whether in SAP HANA Cloud, data lakes, or third-party warehouses like Snowflake, BigQuery, or Azure Synapse—without physically moving the data.
Unlike traditional data platforms, SAP Datasphere retains semantic definitions and business logic, ensuring that shared and federated data maintains its context and is easily understood and used by business users.
With built-in capabilities for data masking, role-based access control, and audit trails, SAP Datasphere ensures that data shared across platforms adheres to compliance and governance policies.
SAP Datasphere integrates with leading data platforms and analytics tools, such as Databricks, Collibra, and Confluent, facilitating broader data collaboration across hybrid and multi-cloud landscapes.
Imagine a multinational corporation using SAP S/4HANA on Azure, manufacturing data on AWS, and customer analytics on Google Cloud. With SAP Datasphere:
In a world where data is distributed and the cloud landscape is fragmented, SAP Datasphere offers a cohesive solution for data sharing and federation. By providing a real-time, governed, and semantically rich data fabric, SAP Datasphere enables organizations to maximize the value of their multi-cloud data investments. As digital transformation accelerates, tools like SAP Datasphere will be indispensable in bridging the data divide across clouds.