AWS re:Invent 2025 - Fast-track to insights: AWS-SAP data strategy (ANT333)

Source: Dev.to

Overview

AWS re:Invent 2025 – Fast‑track to insights: AWS‑SAP data strategy (ANT333)

Satish and Bjoern discuss the 17‑year AWS‑SAP partnership for enterprise data integration. Satish demonstrates AWS Glue Zero‑ETL, a fully managed, no‑code service that replicates SAP data to S3, S3 Tables, or Redshift in near real‑time (under 10 seconds), supporting sources such as SAP OData, Oracle, MySQL, and Salesforce. Bjoern introduces SAP Business Data Cloud, launched on AWS in February 2025, which enables data products that combine SAP and non‑SAP data using a lakehouse architecture with medallion layers (bronze, silver, gold). The solution leverages open resource discovery protocol and DeltaShare for zero‑copy consumption, allowing AI agents to understand data semantics via knowledge graphs. Both approaches aim to unify data across SAP HANA, DataSphere, BW, and AWS native services (Redshift, QuickSight, SageMaker) for comprehensive analytics and generative AI workloads.

AWS and SAP Partnership: Leveraging Zero‑ETL for Unified Data Integration

Introduction

“How long has the partnership between AWS and SAP been?” – 17 years.
In this session Satish (Principal Specialist SA, AWS Analytics) and the SAP CTO walk through AWS and SAP features that accelerate insights from both SAP and non‑SAP systems.

Why Customers Choose AWS for SAP Workloads

AWS offers the broadest set of SAP data platforms, including SAP HANA, DataSphere, and BW, plus a full suite of native services for security, governance, data pipelines, and generative AI. With 200+ services, customers can build end‑to‑end use cases across any industry.

Customer Landscape

• Moderna – supply‑chain optimization for COVID‑19 vaccine distribution on SAP + AWS.
• Toyota, Volkswagen, Adidas – mission‑critical workloads running on AWS.
• Industries served: healthcare, automotive, technology, retail, and more.

SAP Business Data Cloud

Launched on AWS in February 2025, Business Data Cloud lets you build data products that combine SAP and non‑SAP data using a lakehouse architecture with medallion layers (bronze → silver → gold). It supports open discovery protocols and DeltaShare for zero‑copy data consumption, enabling AI agents to interpret data semantics via knowledge graphs.

AWS Native Stack for Data Processing

Extending the Ecosystem

Beyond SAP and AWS native services, customers can integrate third‑party platforms such as Qlik, Calibra, Snowflake, and Databricks, creating a highly flexible technology stack.

The Importance of Unified Data

Data is a unique asset that often resides in disparate SAP and non‑SAP sources. The recommended approach is to ingest all data into a unified lakehouse and derive insights from there, rather than leaving data scattered.

AWS Glue Zero‑ETL

Customers often cite onboarding complexity due to varied technologies, skill sets, and stakeholders. AWS Glue Zero‑ETL simplifies this by providing native connectors for many sources, enabling rapid pipeline creation that loads data into S3, S3 Tables, or Redshift.

How Zero‑ETL Works

1. Initial Snapshot – When first configured, Zero‑ETL creates a snapshot of the source and seeds it into the target (S3, S3 Tables, or Redshift).
2. Change Capture – After the initial load, any subsequent changes in the source are captured and replicated in near real‑time (typically < 10 seconds).