Applexus bridges the gap between your SAP ecosystem and Databricks - enabling modern data engineering, advanced analytics, and enterprise AI at scale.
Migrate decades of BW data flows, transformation logic, hierarchies, and reporting IP into the Databricks Lakehouse - with business logic preserved, not rewritten. CeleRIX, our AI-powered accelerator, maps BW objects, extracts logic, and auto-generates Databricks notebooks and Spark code.
A growing portfolio of enterprise AI agents across Finance, Supply Chain, Spend, Promotion and Predictive Maintenance built on Databricks Apps, governed via Unity Catalog, and powered by Databricks Genie and AI/BI Dashboards. Production-ready, SAP-aware, and built for real business workflows.
- Enterprise data platform assessment
- Lakehouse architecture design
- SAP and non-SAP data integration strategy
- Cloud data platform roadmap
- Unity Catalog adoption planning
- Data mesh & domain architecture
- Data Lakehouse architecture build
- Scalable Delta pipelines and data engineering
- RBAC and data governance frameworks
- Delta Sharing for cross-team data access
- Performance and cost optimization
- Medallion architecture (Bronze / Silver / Gold)
- SAP BW to Databricks migration
- SAP data ingestion pipelines
- Integration with SAP Datasphere & BDC
- Enterprise semantic layer modernization
- SAP business object metadata migration
- Predictive analytics models on Databricks
- ML pipelines with MLflow & Model Registry
- AI-driven decision automation
- Agentic AI use cases on enterprise data
- Feature Store for reusable ML features
- Vector Search for AI and RAG use cases
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.
IRIS 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.
No other Databricks partner understands SAP data the way we do. Our teams have spent decades inside SAP systems, and we know exactly how to unlock that data within Databricks.
Battle-tested accelerators and a production AI agent portfolio - so you move from assessment to outcomes faster, with less risk and lower cost.
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
Deep domain expertise
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
Applexus has built a portfolio of production-grade AI agents on Databricks Apps, powered by Foundation Model APIs, governed via Unity Catalog, and tightly integrated with Databricks Genie for natural-language data access and AI/BI Dashboards for trusted reporting. Production-ready, SAP-aware, and shipped to real users.
Agents in production
NL data access
Governed dashboards
Native integration
- Spend anomaly detection
- Supplier performance insights
- Savings opportunity identification
- AI-assisted procurement recommendations
- Promotion demand forecasting
- Campaign performance tracking
- Promotion ROI analysis
- AI-driven optimization recommendations
- Asset health monitoring
- Failure prediction and alerts
- Spare parts optimization
- Maintenance planning recommendations
- Engineering document processing
- Technical drawing analysis
- Automated BOM generation
- Workflow automation and acceleration
- Budget and variance analysis
- Cash flow and liquidity visibility
- Risk and anomaly detection
- Compliance and financial control
- Demand forecasting and inventory optimization
- Supplier selection and reorder point planning
- Automated purchase requisition workflows
- Full SAP S/4HANA integration across the pipeline
SAP Business Data Cloud and BDC Connect open up a zero-copy, governed path for SAP data to flow into Databricks. Applexus helps you operationalize that path - so your SAP semantics, governance, and business context move with the data, and your AI is built on a foundation you can trust.
Source mapping across S/4HANA, BW, Datasphere. Landing-zone design in Databricks. Unity Catalog governance model.
Stand up BDC Connect to stream SAP business objects into Databricks with semantics and lineage preserved end-to-end.
Build Databricks Genie spaces, AI/BI Dashboards, and production AI agents on top of governed SAP data - ready for the business.
Three recent engagements where we paired Applexus IP with Databricks to deliver measurable business outcomes - not pilots, but production systems already in use.
A global technology leader replaced slow, manual planning with an AI decision platform on Databricks - combining LLMs, optimization engines, and SAP + non-SAP data into a single natural-language interface for planners.
- 70% faster planning cycles
- 30% reduction in delay and shortage risk
- Real-time scenario analysis enabled
A global industrial gases company replaced spreadsheet-led demand planning for Neon, Xenon, and Krypton with an AI forecasting platform on Databricks - using Delta Live Tables, ML models, and Unity Catalog governance.
- 30% improvement in forecast accuracy
- Inventory aligned to demand across regions
- Shift from reactive to proactive planning
A global energy enterprise replaced spreadsheet-based reconciliation with a Databricks engine that continuously validates contracts, deliveries, and pricing against SAP and operational systems - saving analysts ~3 hours per day.
- 70% reduction in manual effort
- Higher billing accuracy, pre-settlement
- Real-time issue visibility & audit-ready trail