UnlockSAPDataonDatabricks. BuildYourAI-ReadyEnterprise.
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.
850+ SAP & AI Consultants
20+ Years of SAP Enterprise
350+ Pre-Built AI Models(IRIS)
60% Faster SAP Data Onboarding
SAP Data Is Your Most Valuable Asset. But It's Trapped.
Most organizations struggle to extract, integrate, and activate SAP data outside its native environment. Combining SAP and non-SAP data remains the single biggest data challenge enterprises face today.
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.
Siloed Analytics
When SAP and non-SAP data live in separate worlds, you can't build the unified enterprise view that AI and advanced analytics require.
Slow Time to Value
Building SAP-to-Databricks data pipelines typically takes 3–4 months. That's too slow for businesses needing AI-ready data now.
BW Business Logic at Risk
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.

Deep SAP Expertise Meets Modern Data Engineering
Migrate SAP BW to Databricks — With Your Business Logic Intact
SAP-Native Expertise
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.
End-to-End Capabilities
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.
AI-First Approach
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.
Hybrid Architecture
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.
Full-Spectrum Capabilities
Data Platform Strategy
Define the roadmap for adopting Lakehouse architectures and modern enterprise data platforms.
- Enterprise data platform assessment
- Lakehouse architecture design
- SAP and non-SAP data integration strategy
- Cloud data platform roadmap
Lakehouse Implementation
Design and deploy scalable Lakehouse architectures tailored to enterprise data environments.
- Data Lakehouse architecture build
- Scalable data engineering pipelines
- Data governance and security frameworks
- Performance and cost optimization
SAP Data Modernization
Unlock SAP data for advanced analytics and AI using modern data platforms.
- SAP BW to Databricks migration
- SAP data ingestion pipelines
- Integration with SAP Datasphere & BDC
- Enterprise semantic layer modernization
AI & Advanced Analytics
Operationalize machine learning and AI on enterprise data platforms.
- Predictive analytics models
- Machine learning pipelines
- AI-driven decision automation
- Agentic AI use cases on enterprise data

Enterprise Results That Speak for Themselves
Global Technology Leader — Supply Chain Transformation
Built a modern data platform on Databricks for a Fortune 100 technology company's large-scale supply chain business transformation. Developed a scalable data ingestion framework to bring SAP ECC data into Databricks, enabling AI use cases across their supply chain organization and unifying SAP and non-SAP data sources to power next-generation supply chain intelligence.
National Retail Chain — Integration & Data Platform
Helped a leading national retailer modernize their legacy Informatica-based data integration, replacing it with a streamlined pipeline bringing SAP data into GCP Databricks. Reduced technical debt, simplified data transfer via Delta Sharing, and accelerated their S/4HANA RISE journey.
Our Engagement Model
A proven approach that takes you from assessment to outcomes, fast.
Discovery & Assessment
Evaluate your SAP data landscape and Databricks readiness
Architecture & Design
Design the target Lakehouse with SAP data at the core
Accelerated Build
Deploy our frameworks to fast-track data onboarding
AI Enablement
Activate AI and analytics on your unified data platform
Managed Ops
Ongoing support, optimization, and expansion

Ready to Unlock Your SAP Data on Databricks?
Let's talk about how our Data Ingestion Framework can cut your SAP-to-Databricks timeline by 60% and get your enterprise AI-ready, fast.
