2025 was a transformative year for SAP Datasphere and the broader data landscape within the SAP ecosystem.
For organisations investing in data strategy, analytics, and artificial intelligence (AI), SAP has delivered significant advancements – many of which align strongly with the types of enterprise integration and digital transformation projects we support at On Device Solutions.
Here are the key highlights from SAP Datasphere in 2025 that matter most to data leaders and SAP customers.
The Launch of SAP Business Data Cloud
SAP introduced Business Data Cloud – this cloud-native solution unifies SAP and non-SAP data while embedding governance and security throughout.
Importantly, Business Data Cloud builds on the SAP Datasphere and Analytics Cloud foundations and offers a clear path for customers with investments in SAP BW. It enables real-time access to governed data products without duplication, leveraging zero-copy architecture. This positions it as the backbone for both AI initiatives and enterprise-wide analytics.
Through new partnerships with platforms such as Databricks, Google BigQuery, Snowflake, and Microsoft Fabric, SAP opened up its data ecosystem further – a welcome move for hybrid-cloud and best-of-breed enterprises.
SAP Datasphere Feature Enhancements in 2025
- Object Store Integration
One of the most practical enhancements last year was the integration of object storage alongside HANA Cloud. This gives SAP customers a cost-effective way to manage large volumes of data while continuing to use existing tools for flows and transformations, now powered by Apache Spark.
This means enabling high-volume data loading, transformation, and sharing across multiple spaces – a major step forward for scalable enterprise data pipelines.
- Object Versioning
SAP introduced object versioning for views, analytic models, access controls, and local tables. This gives teams better control over deployments and troubleshooting, with options to compare, restore, or export past versions – a small but highly impactful enhancement for governed data environments.
- Analytic Models and Flow Improvements
Across analytic models, replication flows, and transformation flows, SAP introduced dozens of productivity improvements:
- Reusability and stacking of analytic models
- Measure dependency graphs, unit conversions, and fiscal time support
- Delta-only load types, support for views in flows, and new source/target connectors
- Spark-based transformation parity with HANA Cloud flows
- Deep retries for failed task chains and new REST APIs
Each of these updates helps data teams build, monitor, and maintain robust, scalable pipelines with less friction.
- Data Catalogue and AI Assistance
The catalogue now supports BW/4HANA, BDC products, and Databricks, with GenAI-assisted content creation improving metadata management. Mass import of glossary items and new validation tools also help with data governance and standardisation – essential for enterprises managing complex data landscapes.
- Monitoring, Access Control & Automation
SAP Datasphere now integrates with SAP Cloud ALM, offering:
- Health monitoring (memory, disk, task errors)
- Job and automation tracking across tenants
- Early Watch Alert support
In addition, data access controls can now be managed via identity provider attributes, allowing role-based access models to scale more effectively.
Looking Ahead: SAP Datasphere and Business Data Cloud in 2026
As a trusted SAP Partner, we’re excited about what these innovations mean for On Device Solutions customers. Whether you’re modernising your SAP BW landscape, integrating third-party data, or launching AI initiatives, SAP Datasphere and Business Data Cloud are becoming essential tools in your enterprise architecture. In 2026, we’ll continue helping clients adopt these capabilities in line with their existing SAP landscapes and data strategies.
During this shift, we’re also recognising growing demand for Architecture as a Service (AaaS). Many organisations need expert guidance to align their SAP Datasphere investments with broader enterprise architecture, integration, and AI-readiness goals.
Our AaaS offering helps clients design, implement, and optimise data architectures that span SAP and non-SAP systems – including mobile, cloud, and IoT sources. Whether you’re building a future-ready data foundation or looking to integrate field operations with SAP Datasphere, our architects provide the expertise to ensure scalable, secure, and business-aligned outcomes.
If you need help planning your move to SAP Datasphere or Business Data Cloud, get in touch with our SAP data and integration specialists to explore your options.
