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SAP Data Integration with Apache Iceberg

Future-proof SAP Data for Modern Data Platforms

With Apache Iceberg and Xtract Universal.iQ, SAP data is not only extracted but also delivered in a format that is optimized for modern data lakehouse architectures. The result: up-to-date, consistent, and flexibly usable SAP data for reporting, analytics, and AI – without complex data integration projects.

Azure Storage

Efficient SAP integration with Azure Cloud

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Azure SQL Database

Maximum performance for your SAP data

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Azure Synapse Analytics

Fast and reliable SAP data analytics

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Azure Data Factory

Automated processing of SAP data

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Seamlessly integrate SAP data into modern data platforms

SAP Connector for Apache Iceberg

Apache Iceberg is an open standard for modern data lakehouse architectures and provides the foundation for BI, self-service analytics, and AI applications.

What is often missing is reliable and continuous integration of SAP data.

Xtract Universal.iQ closes this gap: the SAP connector extracts data from SAP systems automatically and incrementally and delivers it directly as Apache Iceberg tables – including automatic metadata management, snapshots, and catalog registration.

This ensures that SAP data is always up to date and available for dashboards, reports, and analysis – without manual rework or technical workarounds.

Direct Integration into Your Iceberg Architecture

Xtract Universal.iQ handles the complete management of the Iceberg structure in the background:

  • Automatic creation and maintenance of manifests and snapshots
  • Versioning and time travel for historical data states
  • ACID transactions for stable parallel access
  • Registration in REST-based Iceberg catalogs (e.g. AWS Glue Iceberg REST)

This allows analytics engines such as Spark, Trino, Athena, or Snowflake to access SAP data directly – without additional integration layers.

Reliable Data Foundation for Modern Analytics Without Vendor Lock-in

A consistent, versioned data foundation ensures conflict-free reporting, even when multiple teams work with the same data in parallel. Historical data states remain fully traceable at any time and support audits, controlling, and error analysis. Thanks to regular updates, dashboards, reports, and forecasts always work with current SAP data.

As an open lakehouse standard, Apache Iceberg also enables vendor independence, scalability, and long-term data control, making it the ideal foundation for advanced analytics, machine learning, and AI applications.

Typical Use Cases

  • Building a central data platform for finance, sales, and logistics data
  • Creating up-to-date dashboards with SAP KPIs
  • Using SAP data for forecasting and machine learning
  • Supporting audits with versioned and traceable data histories

Key Benefits at a Glance

Direct SAP Integration for Apache Iceberg

SAP data is integrated directly into your existing Iceberg architecture without detours – cleanly, standardized, and immediately ready for analytics and reporting.

Automatic Metadata Management

Xtract Universal.iQ automatically creates and maintains snapshots, manifests, and table versions. Your team does not need to manage the Iceberg structure manually.

Secure Multi-Engine Access

Spark, Trino, Athena, or Snowflake can access the same data simultaneously. ACID transactions ensure consistency and reliability.

Future-Proof Without Vendor Lock-in

Your data remains open, portable, and usable across clouds – on AWS, Azure, GCP, or hybrid platforms – completely without vendor lock-in.

Future-Proof SAP Data for Analytics and AI

Schedule a free demo now and learn how to use SAP data with Apache Iceberg a scalable, and always up-to-date way.