This is Part 2 of a 5-part series exploring what SAP Business Data Cloud (BDC) really means for enterprise data leaders.
In Part 1, we explored why preserving business context matters, and how easily it gets lost when data is duplicated and reshaped across systems.
➡️If you’re just joining, you can start with Part 1 here: Part 1 of 5 - Are You Preserving Business Context, Or Just Moving Data?
Something important is happening across the enterprise data landscape.
The market is converging around a principle that should matter deeply to any executive with AI ambitions:
"Openness."
Open table formats like Apache Iceberg and Delta Lake are becoming the standard for how data is stored.
Open governance frameworks are emerging.
Open interoperability standards like the Model Context Protocol (MCP) are enabling AI agents to work across systems.
Open query engines are making it possible to access data across platforms without copying it.
This is not a technical shift.
It’s a strategic one.
SAP’s own moves reflect this direction:
- The acquisition of Dremio brings Apache Iceberg into the SAP ecosystem.
- SAP BDC’s zero-copy sharing is designed for cross-platform interoperability.
- Reltio’s MCP support enables multi-agent AI workflows across system boundaries.
These are positive signals.
SAP is clearly investing in open data principles. But the real question for leadership isn’t whether SAP is moving in the right direction.
It’s whether you are designing your architecture to take advantage of it.
Question 2: Are You Designing For An Open Ecosystem, Or A Single-Platform Future?
AI-ready data foundations don’t live in one place. They span:
- SAP
- Cloud Data Platforms
- SaaS Applications
- Operational Systems
They need to serve:
- Analytics
- Machine Learning
- Agentic AI
- Business Reporting
All from a governed layer that no single vendor fully owns.
This is where the distinction becomes critical.
You can adopt SAP Business Data Cloud in two very different ways:
- As one component of a deliberately open data architecture
- Or as the centre of gravity for your entire data estate
The difference isn’t technical. It’s architectural.
And it has long-term consequences.
An open ecosystem approach means your data remains portable, your cost model remains competitive, and your AI strategy remains yours to direct.
A single-platform approach, on the other hand, can quietly introduce:
- Architectural dependency
- Reduced flexibility
- Limited optionality as your needs evolve
And the risk is rarely visible upfront. It emerges over time, in how easily you can integrate, scale, or change direction.
The leadership question
Are we adopting SAP BDC as one component of a deliberately open data architecture?
Or are we inadvertently concentrating too much of our data estate around a single platform’s roadmap?
Bottom line:
SAP BDC supports openness, but it’s your architecture decisions that determine whether you actually achieve it.
Coming next in Part 3: Governance: Independent or Platform-Bound?
We’ll explore whether your governance model remains truly enterprise-wide or becomes dependent on a single platform.
Don't want to wait? You can access the '5 Critical Questions' today—just head over here and register for your free download ➡️ Get the SAP BDC Executive Guide Now.
