SAP Databricks is a component of the SAP Business Data Cloud environment that combines the capabilities of the Databricks platform (lakehouse) with the native context of SAP data.
In practice, this means you can analyze SAP data (e.g., S/4HANA, BW, SAC) together with data from other sources—without the need for costly replication—using advanced analytics, machine learning, and AI.
It’s worth considering SAP Databricks if:
Your data is siloed
SAP and other systems are not consistently connected for analytics
Your pipelines are unstable
ETL based on RFC/BAPI/files is difficult to maintain and does not scale
You are losing data context
After exporting from SAP, data loses its business meaning (e.g., CDS, relationships)
AI initiatives are stalled
There is no data layer ready for machine learning
This solution is particularly relevant if you want to simplify your data architecture and develop analytics and AI on SAP and non-SAP data within a single environment.
Less data duplication (zero-copy)
analytics without costly replication
Combining SAP and non-SAP data
one environment, full data visibility
AI and ML readiness
easier model development on business data
Scalability
handle large data volumes without limitations
Faster time-to-value
shorter path from data to decisions
Preserved business context
SAP data retains meaning, not just tables
SAP Databricks is one of the key components of SAP Business Data Cloud, alongside:
Datasphere · Data Products
Delta Sharing
Unity Catalog · SQL
Medallion Architecture
Dashboards · ML Models
AI Agents · Forecasting
We analyze your SAP environment and the way you work with data. Based on this, we propose a target architecture that is efficient, cost-effective, and maintainable – whether you use SAP Databricks within BDC or as a standalone Databricks environment.
We connect SAP data with Databricks in a stable and scalable way. We use modern approaches that reduce data duplication and simplify processing.
We help turn data into concrete business decisions. We build forecasting models, analytical solutions, and AI-based systems that genuinely support day-to-day operations and business growth.
Explore example use cases of SAP Databricks and get inspired to apply them in your business.
Combine SAP data (SD/MM) with external data in Databricks to build ML-based demand forecasting models.
Consolidate financial data from multiple SAP entities in a managed Databricks (lakehouse) environment to enable real-time reporting, variance analysis, and planning.
Extend structured, reusable data products that combine SAP and non-SAP data – available across the organization or published back to SAP Business Data Cloud.
Combine procurement data from SAP S/4HANA with CRM data (e.g., Salesforce) to gain a full view of supplier performance – cost optimization, risk assessment, and benchmarking.
Build conversational AI solutions that analyze SAP business data, providing access to information (e.g., inventory, orders, HR) in natural language.
Gain real-time insights into SAP logistics data, IoT data, and market data – supporting predictive inventory management and route optimization.
Official SAP partner - from S/4HANA to analytics, customer experience (CX), SAP Ariba, and BTP solutions. We know SAP systems inside out.
We worked with AI before it became mainstream. Our theBlue.ai team has been combining SAP data engineering with machine learning, natural language processing (NLP), large language models, and agent-based systems for years.
We don’t just execute - we actively advise on the right strategy and share our experience to help your business unlock its full potential.
Contact us!
