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Integration with Palantir


Overview

Palantir Foundry is an enterprise data and AI platform used by large organizations to integrate operational data, build AI/ML pipelines, and operationalize decisions.

For SAP customers using Palantir Foundry, SAP Data Accelerator is the SAP-endorsed connectivity service providing a preferred, high-throughput, governed path for ingesting SAP data into Foundry’s data lineage and transformation engine.

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Solution Diagram Resources
You can download the Solution Diagram as a .drawio file for offline use. Alternatively, you may view and edit the Solution Diagram directly on draw.io.
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Architecture Details

Palantir Foundry's SAP integration stack includes these deployment components.

  • SAP Data Accelerator: The core SAP service that provides the secure data path between the customer's SAP landscape and Palantir Foundry.
  • Backend SAP Systems: Data sources — on-premise and Cloud Private Edition.
  • Foundry Connector: Installed in the SAP backend system, this add-on registers extraction logic and manages delta queue operations, exposing data to SAP Data Accelerator in a structured format.
  • SAP Cloud Connector: Provides a secure tunnel from the partner platform into the customer's on-premise or private cloud network — exposing specific backend SAP systems to the DA Hub while keeping the internal network private.
  • Palantir Foundry: Partner platform consuming SAP data via the SAP Data Accelerator Hub.

Data Ingestion into Foundry

Once the SAP Data Accelerator connector is configured in Foundry's connection management:

  1. Initial load: The full dataset is pulled from SAP via SAP Data Accelerator and landed as Foundry datasets with automatic schema detection.

  2. Incremental sync: Delta records from SAP Data Accelerator are applied to Foundry datasets, maintaining a current, deduplicated view of SAP data without re-extracting the full table.

  3. Schema registration: SAP objects surfaced through SAP Data Accelerator are registered in Foundry's data catalog with lineage tracking — users can trace every dataset back to its SAP source table or CDS view.

  4. Ontology mapping: Foundry's Ontology layer can be used to model SAP objects (e.g., SalesOrder, Material, Vendor) as typed Object Types, enabling cross-source joins and semantic search across SAP and non-SAP data.

Writeback from Foundry to SAP

Foundry's writeback pipeline uses the SAP Data Accelerator writeback API. This enables user-attributed writebacks — changes committed to SAP are recorded against the Foundry user who triggered the action, not a shared service account. This is critical for audit compliance in regulated industries (financial services, pharma, public sector).

Typical writeback scenarios from Palantir Foundry to SAP include:

  • AI-optimized procurement recommendations → SAP purchase requisitions
  • Demand planning outputs → SAP planned independent requirements (PIRs)
  • Dynamic pricing decisions → SAP condition records
  • Workforce scheduling results → SAP HR time entries

Security and Governance in the Palantir Context

  • Access control: Foundry’s fine-grained dataset access policies layer on top of SAP Data Accelerator’s SAP-side authorization. A user in Foundry can only query SAP-derived data if both Foundry and SAP Data Accelerator authorize the access.
  • Data lineage: All SAP data ingested via SAP Data Accelerator carries lineage metadata through Foundry pipelines — compliance teams can audit which SAP tables fed which AI model or report.
  • Encryption: Data is encrypted in transit (TLS) between SAP Cloud Connector, SAP Data Accelerator, and Foundry. Foundry applies encryption at rest within its managed storage.
  • User-attributed writeback: Writeback operations require explicit authorization — changes written to SAP are attributed to the individual user identity, not a shared service account, supporting audit compliance in regulated environments.

This reference architecture document is intended for enterprise architects and integration specialists evaluating or implementing SAP Data Accelerator as a governed data-sharing layer between SAP and partner platforms.