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SAP Data Integration with Databricks Lakehouse

Automate the transfer of SAP data to your Databricks Lakehouse – seamlessly, efficiently, and through your preferred cloud infrastructure.

Databricks combines data warehousing, data engineering, and advanced analytics on a single platform. With Xtract Universal.iQ, you can automatically transfer data from SAP ERP, BW, and S/4HANA to the Databricks Lakehouse. The transfer takes place directly and cost-effectively via your existing cloud storage (AWS S3, Azure Data Lake / Fabric, Google Cloud Storage).

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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The Challenge: Making SAP Data Usable in Databricks

When using Databricks for AI, ML, or analytics use cases, you often encounter the following challenges when integrating with SAP:

  • Proprietary SAP structures: SAP tables and business logic cannot be integrated natively into a data lakehouse without additional effort.
  • Performance bottlenecks with large data volumes: Direct API inserts into databases or data warehouse engines are often too slow for large volumes of SAP data and put a strain on the source system.
  • Heterogeneous cloud infrastructures: Depending on their multi-cloud strategy, companies need to route data flexibly through different storage providers (Azure, AWS, GCP) without creating data silos.
Databricks 1

The Challenge: Making SAP Data Usable in Databricks

When using Databricks for AI, ML, or analytics use cases, you often encounter the following challenges when integrating with SAP:

  • Proprietary SAP structures: SAP tables and business logic cannot be integrated natively into a data lakehouse without additional effort.
  • Performance bottlenecks with large data volumes: Direct API inserts into databases or data warehouse engines are often too slow for large volumes of SAP data and put a strain on the source system.
  • Heterogeneous cloud infrastructures: Depending on their multi-cloud strategy, companies need to route data flexibly through different storage providers (Azure, AWS, GCP) without creating data silos.
Databricks 1The Challenge: Making SAP Data Usable in Databricks
Databricks 1

Your Solution: Xtract Universal.iQ & Databricks – High Performance via Object Storage

With Xtract Universal.iQ, you can automate SAP data provisioning for Databricks using a high-performance two-stage architecture:

  1. Efficient extraction & storage: Xtract Universal.iQ extracts SAP data, including Change Data Capture, and stores it in compressed, cloud-native formats such as Parquet on your preferred object storage (AWS S3, Azure ADLS Gen2 / Microsoft Fabric OneLake, Google Cloud Storage).
  1. Seamless ingestion into Databricks: Databricks accesses the files stored in your object storage directly using mechanisms such as Auto Loader or Delta Live Tables and automatically processes them further in Delta Lake / Unity Catalog.
Test Xtract Universal.iQ For Free
Databricks 2

Your Solution: Xtract Universal.iQ & Databricks – High Performance via Object Storage

With Xtract Universal.iQ, you can automate SAP data provisioning for Databricks using a high-performance two-stage architecture:

  1. Efficient extraction & storage: Xtract Universal.iQ extracts SAP data, including Change Data Capture, and stores it in compressed, cloud-native formats such as Parquet on your preferred object storage (AWS S3, Azure ADLS Gen2 / Microsoft Fabric OneLake, Google Cloud Storage).
  1. Seamless ingestion into Databricks: Databricks accesses the files stored in your object storage directly using mechanisms such as Auto Loader or Delta Live Tables and automatically processes them further in Delta Lake / Unity Catalog.
Test Xtract Universal.iQ For Free
Databricks 2Your Solution: Xtract Universal.iQ & Databricks – High Performance via Object Storage
Databricks 2

To the Whitepaper
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Key Benefits at a Glance

Scalable Bulk Extraction

By staging data in cloud storage (staging zone), even terabytes of SAP data can be loaded into Databricks without timeouts or overloading the SAP system.

Reduced Load on the SAP Source System

SAP data is extracted only once. Databricks and other analytics engines can access the data in parallel from storage without generating additional queries to SAP.

Maximum Multi-Cloud Flexibility

Run Databricks on Azure, AWS, or GCP – Xtract Universal.iQ supports the respective native cloud storage solutions out of the box.

Ready for Delta Lake & Unity Catalog

Files stored by Xtract Universal.iQ, such as Parquet files, can be directly converted into mutable, ACID-compliant Delta Tables in Databricks.

Incremental Updates (CDC)

Change data from SAP is continuously streamed to storage and automatically merged in Databricks.

Supported Cloud Storage Paths for Databricks

Regardless of which cloud platform you use to run Databricks, Xtract Universal.iQ adapts to your infrastructure:

Cloud / Platform Storage Target for Xtract Universal.iQ Processing in Databricks
Microsoft Azure Azure Data Lake Storage (ADLS Gen2) / Fabric OneLake Unity Catalog External Location, Auto Loader, Delta Live Tables
Amazon Web Services (AWS) Amazon S3 / S3-compatible storage Unity Catalog External Location, Auto Loader
Google Cloud (GCP) Google Cloud Storage (GCS) Unity Catalog External Location (GCS), Auto Loader
Hybrid / Multi-Cloud S3-compatible on-premises storage (MinIO, Ceph, etc.) S3-compatible mount or direct Spark config

How Xtract Universal.iQ Works with Databricks

  • Comprehensive SAP coverage
  • Automated pipeline triggering: Once the upload to storage is complete, subsequent processes such as Databricks Workflows, Auto Loader, or Airflow DAGs can be triggered.
  • Security & governance: Full support for IAM roles, Azure Managed Identities, and Service Principals for secure storage.

Test Xtract Universal.iQ Free For 30 Days

Ready for efficient SAP data integration into S3-compatible object storage? Try Xtract Universal.iQ for free – or schedule a consultation to discuss your specific use case.