SAP Databricks

Unifying SAP’s trusted data with Databricks’ AI power — fuel your business with real-time intelligence.

SAP Databricks

SAP Databricks is a jointly-developed solution that integrates Databricks’ data intelligence platform with SAP’s Business Data Cloud. It provides a platform for advanced analytics and AI/ML on SAP data, enabling users to combine SAP data with other sources for richer insights and faster use case deployment

SAP Databricks is a native integration of the Databricks Data Intelligence Platform into SAP Business Data Cloud (BDC)—SAP’s fully managed SaaS platform that unifies SAP data and third-party sources to power analytics, AI, and data science workloads.

Key Features and Benefits

Integration with SAP Business Data Cloud

SAP Databricks is embedded within the SAP Business Data Cloud, allowing seamless access to semantically rich, business-ready data from SAP applications.

Advanced Analytics and AI/ML

Leverages Databricks’ capabilities for data science, machine learning, and data engineering.

Zero-Copy Data Sharing

Uses Delta Sharing to avoid data replication, allowing for secure and efficient data access between SAP and Databricks environments.

Pro-Code Development

Offers a pro-code environment for data engineers, scientists, and analysts to collaborate on projects.

Unified Data Model

Facilitates the creation of a unified data model by combining SAP data with other structured and unstructured data sources.

Enhanced Data Governance

Provides robust data governance features, including Unity Catalog, to manage data assets, models, and notebooks.

Faster Time to Insight

Enables faster development and deployment of data and AI/ML solutions, leading to quicker business insights.

How it Works?

Data Access:

SAP Databricks accesses data from SAP applications and other sources within the SAP Business Data Cloud.

2. Data Preparation:

Data is processed and prepared using Databricks’ data engineering tools.

3. AI/ML Development:

Data scientists and engineers build and train machine learning models using Databricks’ platform.

4. Model Deployment:

Deployed models are integrated with SAP solutions for real-time predictions and insights.

5. Data Sharing:

Results from SAP Databricks can be shared back into the SAP ecosystem for further analysis and application development.

Benefits for Enterprises

Faster AI & ML Development
Speeds up time-to-value for predictive models and analytics.
Seamless Integration
Works with AWS, Azure, GCP, and now SAP Business Data Cloud via native SAP Databricks.
Scalable Infrastructure
Built for petabyte-scale data processing and AI workloads.
Open & Interoperable
Supports open formats (Parquet, Delta, etc.) and integrates with dbt, Apache Airflow, and Power BI/Tableau.

Use Cases and Applications

To demonstrate the real-world value, your website should include compelling use cases. This can help potential customers understand how the platform can solve their specific business challenges.

AI-Powered Applications: Build intelligent applications that can reason on your semantically rich SAP data.
Customer Churn Prediction: A fintech company, for example, could combine SAP Customer Relationship Management (CRM) data with external financial market data to predict customer churn and implement targeted retention strategies.
Supply Chain Optimization: Connect SAP supply chain data with other operational data to build models that predict demand, optimize inventory, and enhance logistics.
Financial Forecasting: Develop predictive models for cash flow, profitability, and other financial metrics by leveraging a unified view of operational and financial data.