Enterprise data used to center on a single core platform. Usually, it was the ERP system backed by relational databases. Vendors competed on query speed, storage efficiency and architectural improvements. The standard path forward was to pick the best platform and standardize around it — but that no longer works.
After years of cloud adoption, hybrid environments, regulatory pressure, cost scrutiny and now AI-driven workloads, no single platform can support the entire enterprise on its own. What defines a modern enterprise data platform is no longer just its technical performance, no matter how good it is. Rather, it is the strength of the ecosystem around it. That’s what determines, for example, how well systems integrate with consistent governance. Or whether identity, metadata and data quality hold up across multi-cloud and on-prem environments without creating fragmentation.
For IT decision makers, this shifts the role. You are not simply selecting a platform. You are designing and managing an ecosystem. In this context, interoperability, compliance, data quality and cross-platform coordination are no longer enhancements. They are baseline operating requirements. Ecosystem thinking is not a phase. It is now part of the long-term operating model.
Read the full article, via Forbes.
