Datadobi Announces StorageMAP 7.2

Datadobi has announced the general availability of the next version of its software platform, StorageMAP 7.2. The latest release introduces powerful new metadata insights and expanded data reporting, giving Infrastructure & Operations (I&O) leaders the ability to unlock and maximize data value with unparalleled visibility and control over their sprawling data environments. StorageMAP 7.2 lowers cost, optimizes storage, reduces risk, and aligns data strategies with evolving business and regulatory demands.

With unstructured data growing at an annual rate of 30–50%, I&O leaders face mounting challenges across cost management, security and governance. According to Gartner® “By

2028, over 70% of I&O leaders will implement hybrid cloud storage strategies, a significant increase from just 30% last year”. StorageMAP 7.2 has been designed to meet this demand by helping businesses make more effective data-driven decisions.

Among the improvements delivered by StorageMAP 7.2 are enhanced metadata query capabilities, which enable organisations to track cost, carbon emission levels, and StorageMAP tags with greater precision. The update also introduces automated discovery for Dell ECS™ and NetApp StorageGRID™ object stores, allowing enterprises to instantly identify tenants and their associated S3 buckets, simplifying the management of large-scale object storage environments.

Building on its existing orphaned data reporting functionality over the SMB Protocol, StorageMAP 7.2 now extends support to NFS environments, enabling businesses to identify and report on orphaned data for all data accessed over SMB and/or NFS protocols. This approach enables quick identification of data that is not currently owned by any active employee. Additionally, an enhanced licensing model provides organisations with the flexibility to scale their use of StorageMAP’s features according to their specific requirements.

StorageMAP 7.2 also optimizes the storage of data by helping businesses free up primary storage capacity and optimize AI data workflows. This includes new archiving capabilities that allow organizations to identify and relocate old or inactive data to archive storage, ensuring that high-value primary storage remains efficient and cost-effective. Additionally, the platform enhances AI readiness by finding and classifying data suitable for GenAI processing, enabling businesses to feed data lakes with relevant, high-quality datasets.

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