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SAP Datasphere News in December

kpsauer
Product and Topic Expert
Product and Topic Expert
2 weeks ago
2,364

SAP Datasphere News in December

What a year it has been. Wow! 2025 was packed with great events, lots of new features and enhancements to extend existing features, and the launch of SAP Business Data Cloud. 
Explore the latest updates in our community news blogs and enjoy watching my top feature highlights for 2025 on YouTube 📺 below.

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SAP Datasphere 2025 highlights in a nutshell

What a great ride it has been in 2025 with SAP Datasphere!
Let me share a few of my personal highlights.

SAP Business Data Cloud

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The announcement of SAP Business Data Cloud in February this year made quite some noise and puts data, analytics and AI at the center of our portfolio at SAP. We delivered SAP Business Data Cloud in May 2025 as a fully managed software as a service solution that unifies and governs all SAP data and seamlessly connects with third-party data.

It is an evolution of the business data fabric journey we started with SAP Datasphere and SAP Analytics Cloud some years ago and also offers a path forward for your investments in SAP BW.

Delivering out-of-the-box always-on data products is the next pivotal step in our data strategy following a harmonized data model to provide scalable access without duplication using zero-copy delta share technology.

SAP BDC serves as the foundation for your data and AI projects leveraging SAP managed and custom data products, including our growing open partner ecosystem with Databricks and the newly announced partnerships with Google Big Query, Snowflake and Microsoft Fabric.

 

My top features in 2025

Picking my top features for all of 2025 was not easy and here is my top feature list in no particular order.

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Object store (general availability)

In 2025 we delivered the option to include an object store next to the well-known SAP HANA Cloud based persistency for a cost-efficient storage. You can use the existing tooling you already know to now create local tables on files, use replication flows, transformation flows which are then using Spark as compute engine - all orchestrated by task chains. You can load large quantities of data via replication flows and prepare the data using transformation flows and then share data to other spaces to be used as a source for additional flows, views, and of course analytic models. A really great enhancement!

 

Versioning of data builder objects

Object versioning has been introduced for views, analytic models, data access controls, and local tables. The new object versions are created automatically at the time of deployment which allows you now to list the past versions of objects, open a past version in read-only mode in a new tab, download a past version to a CSN/JSON file and restore a past version to replace the current version.

Be aware that the saving of an error-free restored version overwrites the current object. It is also important to understand that the versioning happens for the metadata of an object and not the data.

 

Efficiency features

Then there are tons of smaller enhancements that have been delivered in 2025 to increase efficiency and productivity overall. Let me just name a few here for the different components of Datasphere.

Analytic model

  •  stacking and reusing of models
  •  support for structures and data access controls for analytic models
  •  we introduced a measure-dependency graph, the fiscal time dimension and unit conversion
  •  and many enhancements with variables and parameters

Replication flows

  • delta only load type
  • support for views
  • reusing of source objects in multiple flows
  • many new sources and targets

Transformation flows

  • batch processing
  • parameter support
  • HANA tables as source in Spark transformation flows
  • other features bringing Spark transformation flows almost on par with HANA Cloud based ones

Task chains

  • deep retry of failed tasks in nested task chains
  • Rest API
  • Parameter support
  • notification tasks
  • amongst other improvements

Catalog

  • Support for SAP BW/4HANA, seamless planning, SAP BDC data products, Databricks via BDC connect
  • GenAI-assisted generation of catalog asset descriptions and classifications
  • Mass import of existing glossaries, terms, KPI’s, etc. from flat files

 

SAP Cloud application lifecycle management

SAP Datasphere is now integrated into SAP Cloud application lifecycle management (ALM) for health, job and automation monitoring.

Health monitoring enables you to check the health of one or more Datasphere tenants from the Health Monitoring app in Cloud ALM to check on 

  • Memory and Disk usage
  • Out of Memory Events
  • Task Failures and
  • Admission Control Events

Job and automation monitoring enables you to monitor the tasks runs and executions in one or more SAP Datasphere tenants from the Job and Automation Monitoring app in Cloud ALM.

The integration overall eases the monitoring of an SAP Datasphere tenant in a complex customer landscape with a centralized, consistent way of tracking the tenants.

In addition, the early watch alert reports are now also available for SAP Datasphere. EWA is an automatic service analyzing the essential administrative areas of your SAP systems and covered by your maintenance agreement.

 

Data access controls based on IdP attributes

Data access controls based on identity provider (IdP) attributes are a small enhancement, but it is very powerful. You can now use values in custom attributes provided by your IdP as identifiers in your data access controls and define conditions that apply to users with these values. It is powerful because using these attributes allows you to apply a single condition to all users whose accounts contain that specific attribute value. In other words, you can group users with attributes to assign permissions to a group instead of individual users.

 

YouTube feature highlights of 2025

 

 

 

And more feature highlights of 2025

There are so many more great features which we delivered in 2025, so in addition to my 2025 top features, I pulled together the 2025 feature highlights in all different areas of SAP Datasphere for you. Enjoy the ride!

Data Integration

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Catalog & Monitoring

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Data Modelling

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Miscellaneous

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What exactly is rewiring for SAP Datasphere?

I have heard that question so many times over the last few months from customers, partners, but also SAP colleagues at events like SAP TechEd in Berlin or Sydney. 
During these discussions I observed that people unintentionally misinterpret the term “rewiring”. It sounds technical, hence there are associations with data, object or even full tenant migrations. This is not the case!

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Therefore, I wrote a blog to clarify what rewiring is, and what it is not. Moreover, give you some guidance on the steps which you need to take. 
🔗   https://community.sap.com/t5/technology-blog-posts-by-sap/rewiring-of-sap-datasphere-to-sap-business...

 

More blogs about SAP BDC and Datasphere to check out 👇

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Find more information and related blog posts on the topic page for SAP Datasphere. You will find further product information on our Community with various subpages about Business Content, the SAP BW Bridge as well as content for Best Practices & Troubleshooting. Also check out the new support content for SAP Datasphere on SAP Help for troubleshooting and analysis guides, how-to guides, technical details, and more.

Find out how to unleash the power of your business data with SAP’s free learning content on SAP Datasphere. It’s designed to help you enrich your data projects, simplify the data landscape, and make the most out of your investment. Check out even more role-based learning resources and opportunities to get certified in one place on  SAP Learning site.

 

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