SAP Datasbricks

Connect data.
Unleash intelligence.

SAP Databricks connects SAP data with AI-powered workloads .
Open, scalable and ready for modern analysis, planning and ML applications.

Benutzeroberfläche von SAP Databricks mit geöffnetem SAP Data Product und Ansicht strukturierter Tabellenspalten im Katalog

What is SAP Databricks?

SAP Databricks combines business applications with an open data platform to develop AI applications on a reliable database. The solution is an integral part of the SAP Business Data Cloud and enables SAP data products as well as structured, semi-structured and unstructured data to be combined efficiently – without copies or complex pipelines. Thanks to Delta Sharing, data exchange between SAP and Databricks environments is seamless and bidirectional. Analyses, forecasts and automation can be implemented faster and more consistently – with direct reference to relevant business processes. This allows data-driven innovations to emerge more quickly – directly in the SAP context.

Advantages of the
SAP Databricks integration

Realize AI-supported applications

SAP Databricks provides the technical foundation to support intelligent business processes with AI and ML – from development to scaling.
Connection of SAP data products with external, semi-structured and unstructured data – flexible, open and without redundant data storage.

Linking SAP and third-party data

Accelerate data provision

Curated SAP data simplifies integration into existing workflows and shortens the preparation time for analysis projects.

Investment protection through open architecture

SAP Datasphere draws on verified, authoritative data records – with governance, audit logs and role-based control.

SAP Databricks in Business Data Cloud

SAP Databricks is an SAP-managed version of the Databricks Data Intelligence Platform that is seamlessly integrated into SAP Business Data Cloud. It combines leading functions for AI, machine learning, data science and data engineering with semantically enriched, business-relevant data from SAP applications.

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Frequently asked questions (FAQ)
about SAP Datasphere

SAP Databricks combines SAP data models with the scalability of Databricks – in an architecture that combines analysis, AI and governance in real time.

Structured SAP data is available directly and in real time via the SAP Business Data Fabric – without data replication or media discontinuity.

SAP data products and structured, semi-structured and unstructured third-party data can be combined and analyzed together.

Yes, the platform can be operated independently and integrates both SAP and non-SAP data sources via open interfaces.

Features of SAP Databricks
at a glance

Access to all data

Data from SAP systems and third-party sources can be combined seamlessly and without duplication. Delta Sharing enables a centralized view of all relevant data – contextual, directly accessible and without the need for manual pipeline management or time-consuming data transfers.

Standardized environment for AI & analysis

SAP Databricks provides a common platform for data, analytics and AI teams. Notebook-based workflows in SQL, Python or Spark promote the collaborative development of data pipelines, machine learning models and reports – directly in an integrated environment with full code flexibility.

Curated data offering

Predefined and immediately usable data products from central SAP business processes enable a quick project start. This curated content reduces the effort required for data preparation and accelerates analysis and AI initiatives thanks to tested, consistent structures.

Scalable MLOps chain

The entire lifecycle of machine learning is supported – from data preparation and model training to productive deployment. End-to-end MLOps functionalities enable rapid iteration, versioning and operationalization of AI applications within the platform.

Pro code environment

The platform offers full development freedom for data engineers and scientists. Custom pipelines, data queries or models can be developed in preferred languages such as Spark, SQL, Python or R – including integrations for version control, visualization and computing load management.

Innovative SQL analysis

Databricks SQL enables serverless, high-performance queries across large volumes of data. Real-time analyses can thus be used directly in operations – without dedicated infrastructure or complex setups, but with the full scalability of a cloud architecture.

Trusted by customers

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The next step towards the
scalable data platform

SAP Databricks combines SAP data, AI and modern analysis in an open environment. The basis for data-driven innovation in every business area.

Everything you need to know and more.

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