Data Locked in SAP
Complex SAP data structures, custom configurations, and compliance requirements make it one of the hardest sources to bring into modern analytics platforms.
Applexus bridges the gap between your SAP ecosystem and Databricks — enabling modern data engineering, advanced analytics, and enterprise AI at scale. We don't just move data. We transform how enterprises use it.
Most organizations struggle to extract, integrate, and activate SAP data outside its native environment. Combining SAP and non-SAP data while retaining business meaning remains the single biggest data challenge enterprises face today.
Complex SAP data structures, custom configurations, and compliance requirements make it one of the hardest sources to bring into modern analytics platforms.
When SAP and non-SAP data live in separate worlds, you can't build the unified enterprise view that AI and advanced analytics require.
Building SAP-to-Databricks data pipelines typically takes 3–4 months. That's too slow for businesses needing AI-ready data now.
Your BW system holds decades of transformation rules, hierarchies, and reporting logic. Migrating to Databricks without preserving this IP means starting from scratch — or losing critical business intelligence.
AI requires clean, governed and business context-ready enterprise data. Without a structured approach to SAP data activation, AI projects fail at the data layer before they ever reach the model layer.

Decades of hands-on experience across ECC, S/4HANA, BW, BW/4HANA, and SAP Datasphere. This isn't generic ETL — it's precision data engineering built on deep domain knowledge of SAP data models, business logic, and enterprise semantics.
We cover the full data lifecycle within Databricks: data engineering, pipeline automation, Lakehouse architecture design, SAP + non-SAP data unification, ML model development, AI enablement, and analytics layer design.
Our IRIS platform integrates seamlessly with Databricks to accelerate AI use cases — from demand forecasting and supply chain optimization to intelligent document processing and predictive maintenance.
We design hybrid architectures that integrate SAP data platforms with Databricks and hyperscalers, creating a unified data foundation. SAP Systems → SAP Datasphere/BDC → Databricks Lakehouse → BI, AI, and Advanced Analytics.
Our IP — Data Ingestion Framework
Our proprietary framework eliminates the 3–4 month wait typically associated with building SAP-to-Databricks data pipelines. Battle-tested at large enterprises running complex SAP landscapes. Includes data masking and compliance accelerators to keep your SAP data secure from day one.
vs. 3–4 months typical
Faster onboarding
Masking & compliance built in
Deep domain expertise
Our IP — CeleRIX BW Modernization Accelerator
CeleRIX, our AI-powered migration framework, automatically maps BW data flows, extracts transformation logic, and generates equivalent Databricks artifacts — preserving the decades of business rules embedded in your BW system. Includes a complimentary 2–3 week assessment to map your BW landscape complexity.
Powered code generation
Free BW assessment
Business logic preserved
Enterprise success stories
A proven approach that takes you from assessment to outcomes, fast.
Evaluate your SAP data landscape and Databricks readiness
Design the target Lakehouse with SAP data at the core
Deploy our frameworks to fast-track data onboarding
Activate AI and analytics on your unified data platform
Ongoing support, optimization, and expansion

Most Databricks partners move data.
Applexus ensures it still makes sense.