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SAP Data Integration with HyperAuto

2 posts · Dec 2022 – May 2026

What this trail covers

This post details the evolution of Palantir's HyperAuto capability for integrating data from enterprise resource planning (ERP) systems, specifically focusing on SAP. It highlights the challenges of direct integration due to complex schemas and the development of HyperAuto as a solution. HyperAuto analyzes ERP metadata to generate robust data pipelines, denormalizes and reconstructs business objects, and supports pushing integrated data to various cloud platforms or the Foundry Ontology. Key features include built-in connectors for common ERP/CRM systems, flexible tooling for other data sources, Software-Defined Data Integration (SDDI) for generating Spark code, and robust data governance. The tutorial demonstrates integrating SAP data for supply chain disruption analysis by setting up connections, exploring data, importing pre-packaged workflows, customizing imports, exploring table relations, and configuring syncs.

All Palantir trails
  1. Enterprise Business Software and the Mixed-Up Chameleon ProblemThis post introduces the concept of an interoperability layer above ERP systems, powered by a shared Ontology, to enable enterprise adaptability. It contrasts this with traditional ERP implementations that force business processes to conform to rigid software structures. The post highlights how this architecture allows for unique business processes to be preserved while still leveraging the stability of the ERP core. It also emphasizes the role of agentic AI in automating data migration and reconciliation, transforming it from a traumatic one-time event into a continuous capability. The authors argue for a shift from the labor-intensive systems integrator model to a software-first approach, where the ERP becomes a system of record for accountability rather than a system of constraint.
  2. Enterprise Business Software and the Mixed-Up Chameleon ProblemThis post introduces the concept of an 'interoperability layer' sitting above traditional ERP systems, powered by a shared ontology. This ontology acts as a 'Rosetta Stone' to reconcile differing terminology across enterprise systems (e.g., 'material' vs. 'item' vs. 'stock number'). This layer enables an 'adaptability and extension layer' for business logic, workflows, and AI agents, allowing for real-time bi-directional data use and significantly simplifying ERP migrations through automated, ontology-driven data migration. It critiques the traditional labor-intensive systems integrator model in favor of a software-first approach that leverages AI for migration and emphasizes adaptability over rigid customization.
  3. How Anyone Can Integrate SAP Data in HoursThis post details the evolution of Palantir's HyperAuto capability for integrating data from enterprise resource planning (ERP) systems, specifically focusing on SAP. It highlights the challenges of direct integration due to complex schemas and the development of HyperAuto as a solution. HyperAuto analyzes ERP metadata to generate robust data pipelines, denormalizes and reconstructs business objects, and supports pushing integrated data to various cloud platforms or the Foundry Ontology. Key features include built-in connectors for common ERP/CRM systems, flexible tooling for other data sources, Software-Defined Data Integration (SDDI) for generating Spark code, and robust data governance. The tutorial demonstrates integrating SAP data for supply chain disruption analysis by setting up connections, exploring data, importing pre-packaged workflows, customizing imports, exploring table relations, and configuring syncs.
  4. MediumThis post introduces Palantir's HyperAuto capability for SAP data integration. It details how HyperAuto analyzes SAP ERP metadata to generate robust data pipelines, denormalizes and reconstructs business objects, and supports pushing integrated data to various cloud platforms or the Foundry Ontology. The system addresses challenges of complex SAP schemas by automating data pipeline generation and business object reconstruction.