Latest news with #S3-compatible
Techday NZ
08-07-2025
- Business
- Techday NZ
Wavelink to distribute Cloudian HyperStore for AI-ready storage
Wavelink has entered a distribution agreement with Cloudian to distribute Cloudian's S3-compatible file and object storage solutions across Australia, New Zealand, and Oceania. Under the agreement, Wavelink will make available Cloudian's HyperStore platform, an artificial intelligence (AI)-ready data solution designed for highly scalable, secure, and cost-effective storage requirements. Cloudian's platform Cloudian's HyperStore platform is aimed at organisations seeking scalable object storage, with capabilities that cover on-premises, private, and public cloud environments. The platform features a modular architecture and supports a pay-as-you-grow commercial model. This flexibility is intended to allow customers to move workloads from hyperscale clouds to local infrastructure in order to manage latency, control data, and improve cost predictability. The HyperStore platform offers exabyte scalability, full compatibility with the S3 application programming interface (API), multi-tenancy features, and what Cloudian describes as military-grade security. These features are positioned to support AI workloads that require secure, large-scale data access and management. Supporting cloud journeys Cloudian is a great fit for Wavelink's channel partners, from managed service providers to resellers specialising in cloud, infrastructure, and security. Wavelink is excited to support Cloudian's growth across the region, and its market leadership, flexible commercial model, and compatibility with a wide range of use cases make Cloudian an ideal addition to Wavelink's portfolio. This statement was made by Ilan Rubin, Chief Executive Officer, Wavelink. Rubin highlighted that the new partnership aligns Wavelink with channel partners involved in managed services, cloud, infrastructure, and security, and broadens the company's offering in the context of evolving enterprise data storage needs. The agreement is expected to help Wavelink serve partners throughout the cloud journey—whether they are optimising public cloud, adopting hybrid cloud strategies, or deploying AI model training and inferencing solutions on-premises. By combining Cloudian's platform with Wavelink's channel development services, both companies aim to meet the increasing regional demand for secure, AI-ready storage solutions. Regional expansion James Wright, Managing Director, Asia Pacific and Japan, Cloudian, said the agreement would extend Cloudian's presence across the region and bring the HyperStore platform to a wider audience. Wright stated: Cloudian is excited to partner with Wavelink to expand its reach across Australia, New Zealand, and Oceania, and in particular, to bring the HyperStore platform to more organisations. Whether customers are looking to contain public cloud costs, bring data closer to compute, or accelerate their AI initiatives, Cloudian's modern architecture is built to deliver. Cloudian's approach is targeted at organisations concerned with the cost and control of public cloud storage, as well as those seeking to advance AI projects or bring data resources nearer to computing infrastructure. Partner enablement Through this agreement, Wavelink will offer a range of support measures for technology partners, including tailored enablement programmes, technical training, and targeted go-to-market initiatives. These are designed to facilitate the adoption of Cloudian's solutions in industries that are increasingly leveraging AI and hybrid data strategies. Both companies have stated that coupling Cloudian's scalability with Wavelink's operational and channel support will help address the needs of organisations requiring storage infrastructure capable of supporting high volumes of secure, accessible data for modern AI- and cloud-based workloads.
Scoop
25-06-2025
- Business
- Scoop
Datadobi Launches StorageMAP 7.3, Enabling Smarter Data Automation, Governance, And Compliant S3 Migration
Datadobi, the global leader in unstructured data management, has today launched the latest version of StorageMAP, its enterprise heterogeneous unstructured data management solution. Delivering new capabilities to orchestrate and automate data management tasks across file and object storage, StorageMAP 7.3 enables organizations to create policy-driven workflows, act on data more precisely, and migrate between S3-compatible platforms while maintaining compliance. Workflow automation StorageMAP 7.3 introduces policy-driven workflows that allow administrators to define tasks executed by its workflow engine in response to specific triggers, such as a time schedule. A 'dry run' feature facilitates reviewing the scope of a policy before full execution. These new workflows support a wide range of use cases, including periodic automated archival, creating data pipelines to feed GenAI applications, identifying and relocating non-business-related data to a quarantine area, and more. Once policies are published, StorageMAP runs the workflows on schedule without requiring manual supervision. Granular deletion and targeted data control In addition, StorageMAP 7.3 adds support for granular file-level deletes. Administrators can identify files that match specific criteria and save them as input to a targeted delete job, which StorageMAP will execute. Each delete job generates a report that documents the job's details and outcome. This functionality addresses situations where a coarse-grained directory-level deletion is not possible due to the presence of both relevant and disposable data. By enabling precise file selection, StorageMAP ensures that administrators can apply accurate and effective deletion policies. Object migration enhancements StorageMAP 7.3 also enhances its core object migration functionality by supporting the migration of locked objects between S3-compatible storage systems. This allows compliant data stored in a Write Once Read Many (WORM) format to be relocated across different vendor platforms while retaining its retention date and legal holds. To support cost and performance objectives, the solution includes the ability to select the S3 storage class during object migration or replication. By specifying the desired storage class at the time of the job, organizations can avoid unnecessary post-migration lifecycle policies and ensure data is written directly to the appropriate tier. 'StorageMAP 7.3 marks a major step forward in enabling true automation for unstructured data management,' said Carl D'Halluin, CTO, Datadobi. 'Organizations can now define and execute policy-based actions at scale, removing the bottlenecks inherent to existing manual processes, making their file and object storage environments far more responsive to operational needs.' 'Unstructured data continues to proliferate across hybrid environments and organizations need solutions that not only provide visibility but also enable decisive action,' said Simon Robinson, Principal Analyst at Enterprise Strategy Group, now part of Omdia. 'Datadobi is addressing several operational pain points by introducing policy-driven automation and greater control over how data is managed, deleted or migrated, especially in compliance-sensitive scenarios.' Customers dealing with increasingly complex data landscapes require solutions that enable them to stay in control without incurring additional operational overhead. StorageMAP 7.3 offers a practical way to address these important challenges by reducing the time teams spend on routine tasks and helping them move critical data without disrupting compliance or performance. For further information about StorageMAP 7.3, click here. Datadobi, a global leader in Unstructured Data Management, is revolutionizing unstructured data management with its StorageMAP platform. Enterprises can make data-driven decisions that transform unstructured data from an expense and risk into a competitive advantage and revenue. Founded in 2010, Datadobi is a privately held company headquartered in Leuven, Belgium, with subsidiaries in New York, Melbourne, Dusseldorf, and London. For more information, please visit and follow us on LinkedIn.
Techday NZ
25-06-2025
- Business
- Techday NZ
Datadobi unveils StorageMAP 7.3 with enhanced automation tools
Datadobi has announced the release of StorageMAP 7.3, introducing new features aimed at improving automation, governance, and compliance for organisations managing unstructured data across diverse storage systems. Policy-driven workflows The updated version of StorageMAP now includes policy-driven workflows, allowing administrators to set up automated tasks that are initiated by specific triggers, such as scheduled times. These workflows can be previewed with a "dry run" capability to ensure accuracy prior to execution. According to Datadobi, this enhancement supports use cases such as the automated archiving of data, establishing pipelines for feeding GenAI applications, and isolating non-business-related data into designated quarantine areas. After policies are configured and activated, StorageMAP executes the workflows automatically as scheduled, reducing the need for ongoing manual oversight. Precision deletion StorageMAP 7.3 has expanded its data management toolkit with the introduction of granular file-level delete functionality. This feature enables administrators to pinpoint files based on specific criteria and use them as input for targeted deletion tasks. Following execution, each deletion is detailed in a report documenting the scope and outcome of the job. The company states that this development is particularly relevant for scenarios where bulk deletions are impractical due to mixed content within directories. By providing a finer level of control, administrators can develop and deploy more precise deletion strategies. Compliance-focused object mobility Object migration capabilities have also been enhanced in StorageMAP 7.3, with support added for moving locked objects between S3-compatible platforms. This change allows organisations to transfer compliant data stored in Write Once Read Many (WORM) formats to alternative storage vendors without losing retention dates or legal holds. During migration or replication tasks, administrators now have the option to designate the storage class for S3 objects, enabling data to be allocated to the appropriate tier immediately and avoiding the need for subsequent lifecycle management policies. "StorageMAP 7.3 marks a major step forward in enabling true automation for unstructured data management. Organizations can now define and execute policy-based actions at scale, removing the bottlenecks inherent to existing manual processes, making their file and object storage environments far more responsive to operational needs," said Carl D'Halluin, CTO, Datadobi. Simon Robinson, Principal Analyst at Enterprise Strategy Group, now part of Omdia, commented on the update: "Unstructured data continues to proliferate across hybrid environments and organizations need solutions that not only provide visibility but also enable decisive action. Datadobi is addressing several operational pain points by introducing policy-driven automation and greater control over how data is managed, deleted or migrated, especially in compliance-sensitive scenarios." Operational impact As data landscapes grow increasingly complex, enterprises are seeking solutions that offer greater control while limiting the operational burden. StorageMAP 7.3 is designed to address these challenges by reducing the manual effort required for day-to-day data management and helping organisations move sensitive or business-critical information without jeopardising compliance or system performance. By extending workflow automation, providing more targeted control over data deletion, and improving compliance in object migrations, StorageMAP 7.3 addresses key concerns for administrators and data teams working across heterogeneous storage environments. Follow us on: Share on:
