What is an Open Data Ecosystem?

An open data ecosystem in SAP Business Data Cloud connects SAP and third-party data across a data fabric, enabling integration, governance, and consistent use across environments. It helps maximise existing Data and AI investments by enabling seamless data sharing across the data landscape.

How does SAP Business Data Cloud share data with zero copies?

SAP Business Data Cloud enables zero-copy data sharing by providing access to distributed data across the data fabric without replication, reducing data movement while maintaining consistency.

How does SAP preserve business context across third-party data platforms?

Business context is maintained through a shared semantic layer that aligns business definitions across the data fabric, enabling consistent use across SAP and third-party data.

Which partners and cloud platforms are supported in the open data ecosystem?

SAP Business Data Cloud supports integration with leading cloud providers and a broad partner ecosystem, including AWS, Microsoft Azure, and Google Cloud.

How does the open data ecosystem support AI and analytics use cases?

The open data ecosystem provides governed, semantically rich data across the data fabric, supporting reliable analytics and agentic AI scenarios.

Open data ecosystem

Build a business data fabric with leading technology partners to connect, integrate, and govern your data landscape.

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Discover how SAP’s AI, data, and platform technologies improve operations, performance, and innovation.

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Integrate industry-leading data and AI vendors with an open data ecosystem

Unlock the power of semantically rich business data

Bring together SAP and third-party data across an open ecosystem with zero copies. Keep business context intact while using the tools your data and AI teams already trust.

Simplify your data landscape

Easily integrate SAP Business Data Cloud with your data landscape and maximise your existing data and AI investments.

Harmonise data with zero copies

Share curated, semantically rich data products bi-directionally with zero copies using Business Data Cloud Connect, preserving context across every cloud and platform.

Operate across clouds

Business Data Cloud runs natively on Amazon Web Services, Azure, and Google Cloud Platform with deep partner integrations across regions.

Explore open data ecosystem capabilities

Innovate with insights fuelled by trusted, governed SAP data and a broad ecosystem of technology partners.

Cloud partners

Run Business Data Cloud natively on AWS, Azure, and GCP with deep partner integrations across regions.

Google Cloud

Harmonise SAP data with Google’s powerful data and AI ecosystem—ready for AI agents and analytics on Google Cloud.

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Amazon Web Services (AWS)

Extend SAP business data into the AWS ecosystem for all your data and AI workloads.

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Microsoft Azure

Business Data Cloud is available on Microsoft Azure, bringing mission-critical SAP context to every Microsoft workload.

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Customer stories

Preserving business meaning across a global network

Ericsson unified semantics and business context across petabytes of data spanning 180+ countries, driven by governed, reusable data products.

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FAQ

: An open data ecosystem in SAP Business Data Cloud connects SAP and third-party data across a data fabric, enabling integration, governance, and consistent use across environments. It helps maximise existing Data and AI investments by enabling seamless data sharing across the data landscape.
: SAP Business Data Cloud enables zero-copy data sharing by providing access to distributed data across the data fabric without replication, reducing data movement while maintaining consistency.
: Business context is maintained through a shared semantic layer that aligns business definitions across the data fabric, enabling consistent use across SAP and third-party data.
: SAP Business Data Cloud supports integration with leading cloud providers and a broad partner ecosystem, including AWS, Microsoft Azure, and Google Cloud.
: The open data ecosystem provides governed, semantically rich data across the data fabric, supporting reliable analytics and agentic AI scenarios.