# SAP Databricks

- Link: https://www.agilita.de/en/sap-databricks/
- Published: 2025-06-13T10:47:10+01:00
- Author: Tim Dübendorfer

# 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](https://www.agilita.de/wp-content/uploads/
2025/06/screen-databricks-1024x855.webp)

## 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.

### Realize AI-supported applications

 SAP Databricks provides the technical foundation to support intelligent business
processes with AI and ML – from development to scaling.

### Linking SAP and third-party data

 Connection of SAP data products with external, semi-structured and unstructured
data – flexible, open and without redundant data storage.

### Accelerate data provision

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

### Trustworthy data provision

 Existing SAP solutions remain integrated. At the same time, modern open source 
technologies can be flexibly connected and scaled.

## 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.

![](https://www.agilita.de/wp-content/uploads/2025/07/bdcaccountdata-databricks-
sap-logo-bdc-hero_XL-1024x668.webp)

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![](https://www.agilita.de/wp-content/plugins/elementor/assets/images/placeholder.
png)

**First name Last name**
Job Description & Function

## Frequently asked questions (FAQ) ⏎ about SAP Datasphere

## 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.

## 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

![AGILITA LOGO](https://www.agilita.de/wp-content/uploads/2024/07/agilita-logo-01hjgh-
1024x270.png)

![AGILITA LOGO](https://www.agilita.de/wp-content/uploads/2024/07/agilita-logo-01hjgh-
1024x270.png)

![AGILITA LOGO](https://www.agilita.de/wp-content/uploads/2024/07/agilita-logo-01hjgh-
1024x270.png)

![AGILITA LOGO](https://www.agilita.de/wp-content/uploads/2024/07/agilita-logo-01hjgh-
1024x270.png)

![AGILITA LOGO](https://www.agilita.de/wp-content/uploads/2024/07/agilita-logo-01hjgh-
1024x270.png)

## 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.

 [  Request advice now  ](https://www.agilita.de/en/contact-agilita/)

## Everything you need to know and more.

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