NetApp puts ONTAP inside Oracle’s cloud, betting native beats bolted-on
What happened
NetApp launched a fully managed inbound storage service that puts its ONTAP data management system directly inside Oracle Cloud Infrastructure (OCI). Rather than running NetApp’s storage software on top of OCI as a separate layer, the solution integrates ONTAP natively within Oracle’s cloud. This setup targets enterprises moving mission-critical and legacy workloads to the cloud without redesigning their storage or applications. The move also addresses the rising data demands fueled by production AI workloads on longstanding data estates.
Why it matters
Storage complexity often stalls cloud migrations because enterprises face the choice of refactoring apps or dealing with bolt-on storage services that do not fully integrate. NetApp’s approach sidesteps that by embedding its core storage technology natively into OCI, offering consistent data services with lower latency and better performance. This is vital as AI projects push large, aged datasets into new environments where speed and reliability matter. The managed service model lowers operational overhead, enabling teams to focus on app innovation, not storage plumbing. It also tightens integration between compute and storage, which can accelerate data-heavy AI pipelines while reducing cloud costs.
What to watch next
The key will be how well this native approach delivers on performance and ease of use compared to existing bolt-on alternatives. Watch for adoption rates among enterprises with complex legacy storage needs and AI projects that require tightly coupled compute and storage. Oracle and NetApp’s partnership success could pressure other cloud providers and storage vendors to rethink their integration strategies. It also raises the bar on what enterprises expect from managed cloud storage, especially as AI workloads become mainstream in enterprise IT strategies.
AI Quick Briefs Editorial Desk