What is SAP Databricks?
SAP Databricks in Business Data Cloud unites mission-critical data with industry-leading AI, machine learning, data science, and data engineering—all in a single solution.
Overview of SAP Databricks
Many organizations are eager to take advantage of AI, but they’re discovering a major obstacle: Their data foundation isn’t ready. Poor data quality, fragmented systems, and disconnected processes often leave developers spending more time preparing data than generating insights. Without the right data architecture, even the most advanced AI strategies stall before they start.
A key issue is how enterprise data has traditionally been handled. Extracting SAP data into external platforms often strips away critical business context, introduces inconsistencies, and creates costly duplication. But times have changed—data is no longer a byproduct of applications. It’s the fuel for innovation and smarter business decisions, and it needs to be treated that way.
That’s where SAP Databricks comes in. Natively available within SAP Business Data Cloud, SAP Databricks brings industry-leading AI, machine learning, data science, and data engineering capabilities to SAP’s rich, deeply integrated application data. This landmark partnership provides businesses with scalability, security, and the ability to seamlessly blend diverse data sources with business context and semantics intact–driving new analytics and AI insights.
Empowering the next wave of intelligent enterprises
A trusted data foundation is the key for fueling reliable AI. With the unmatched data and AI capabilities of SAP Databricks in Business Data Cloud, organizations are able to unlock the full value of their data. Using semantically rich, trusted, and business-ready data from across all their data sources, organizations can develop innovative AI solutions trained specifically in their business environments.
Simplify and integrate your data landscape
Business Data Cloud connects all your data by employing business data fabric principles, making it easier to discover, share, govern, and model data, no matter where the data resides. With SAP Databricks as a first-party data service, you can now effortlessly connect all your SAP and third-party data with zero copies, leveraging Delta Sharing. This makes it easier than ever to perform advanced AI, machine learning, and data science on your SAP data to yield useful insights.
Key features of SAP Databricks
Simple access to all data
Effortlessly access contextual SAP data and blend with third-party data—without managing pipelines and duplicating data—using Delta Sharing.
Curated data products
Tap into the data product economy to fuel data, analytics, and AI initiatives with ready-to-use data products of your most important business processes.
End-to-end AI and ML
Develop AI and machine learning models with end-to-end MLOps—from data prep and experimentation to deployment.
Pro-code environment
Write Spark pipelines, run SQL analysis, and create machine learning models in your notebook of choice.
Advanced SQL analytics
Analyze data at scale to unlock real-time, on-the-fly insights with serverless Databricks SQL.
Trusted data foundation
Build intelligent applications on a unified and trusted data foundation that governs and protects your data and AI assets.
Unite data and AI into one powerful tool
SAP Databricks is a core component of Business Data Cloud that provides customers with lakehouse, data engineering, and advanced AI and machine learning capabilities. It brings data and AI together to help businesses do things like:
Unify business and third-party data: Get a holistic view of business operations and deeper insights when you can merge SAP, non-SAP, semi-structured, and unstructured data.
Accelerate AI: Give every data professional the tools they need to create AI models and generative AI apps trained on the company’s own business data.
Build a robust data science environment: Create a collaborative and unified data science environment based on serverless computing, with an integrated development environment (IDE) and built-in visualization tools.
Scale data engineering: Take advantage of the serverless Databricks runtime function to scale data engineering capabilities based on your needs.
Develop with governance: Govern structured and unstructured data, machine learning models, notebooks, dashboards, and files.
Henkel maximizes the value of existing data with SAP Databricks
This customer story explores how SAP Databricks provides Henkel Adhesive Technologies with a constant connection to its latest business data—enabling the company to optimize its existing data lakehouses, improve data management, and accelerate AI machine learning development.
Realize the full potential of AI with SAP Databricks in Business Data Cloud
Discover how to harmonize your data landscape across platforms and implement AI to extract accurate, actionable insights with SAP Databricks.