Latest news with #Datadobi
Scoop
5 days ago
- 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
5 days ago
- 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:
Forbes
5 days ago
- Business
- Forbes
How Modern Archiving Helps Enterprises Contain The Data Explosion
Carl D'Halluin, Chief Technology Officer at Datadobi. As data creation and retention rates continue to increase, the time frame for active data use has shrunk, with most files accessed less frequently and for shorter periods before becoming dormant. This growing imbalance means managing ever-larger volumes of inactive data on high-cost primary storage, driving up infrastructure spend without delivering equivalent business value. It's a persistent challenge, with data expanding to fill available storage almost as quickly as capacity is added. It drives near-relentless system expansion in a largely futile effort to keep up. In response, archiving has become a more critical part of enterprise strategies, particularly in the struggle to retain vast volumes of unstructured data. Think of it as a technology coping strategy where leaders prioritize short-term relief without addressing the underlying problem. For many, archiving has also become synonymous with tiering solutions. This means keeping frequently accessed data on high-performance systems and relocating colder data to lower-cost tiers. While this can appear similar to archiving, in that data is moved off primary storage to another system, a key difference is that tiering leaves behind an artifact, such as a stub or link, which is later used to access the relocated content. Tiering has its challenges. For instance, tiering solutions insert themselves into the data path and control how archived files are accessed. As a result, cold data can only be recalled by going through the tiering system itself. If that system goes offline or is removed, access to the data is lost, regardless of whether the files still exist. This can lock organizations into fragile tiering ecosystems that don't scale well, resulting in a messy combination of hidden costs, operational drag and long-term technical debt. The Move To Modern Archiving Modern archiving technologies can offer a more strategic route. The emphasis on "modern" reveals a very important distinction, given the widespread confusion that exists between the act of archiving and the archive platform itself. In reality, archiving is the process of identifying and relocating specific data, whereas the storage platform is simply the destination. Yet many vendors blur the lines, positioning their storage systems as complete archiving solutions, whereas they're only where the data ends up. True archiving starts with identifying what should be moved. That could mean targeting files that haven't been accessed or modified for a certain period or isolating data that an inactive user ID owns, perhaps tied to a departed employee. Finding that data, buried among billions of files across multiple systems, is typically far from straightforward. Without the right tools, it's a time-consuming and impractical task. Modern archiving relocates inactive files to lower-cost storage platforms, reducing primary storage capacity requirements and delaying expensive system expansions. This approach reduces ongoing expenses and frees up high-performance infrastructure for critical workloads. Our customer research shows that in a typical real-world 10-petabyte enterprise storage environment, primary storage costs around $1,100 per terabyte annually, including hardware, software, power and staffing. Assuming 6.5 petabytes of that data was inactive and low-touch (a number that's not uncommon to see in large enterprises), an organization in this situation could be spending roughly $7.15 million per year to retain it. Archiving that same 6.5 petabytes to a combination of active and deep archive tiers, such as those available through AWS, lowers the ongoing cost to just under $15,000 per month, an overall reduction of 97%—a remarkable saving that should be within the grasp of IT teams everywhere. Barriers To Adoption Despite the clear advantages, the widespread adoption of modern archiving solutions has been slow. One key reason is the complexity of today's IT environments. Organizations deploy solutions from multiple vendors across hybrid cloud models, making interoperability a challenge. Historically, companies have lacked the technology to efficiently archive data at a massive scale across heterogeneous environments. As a result, many have relied on backup and recovery systems as a makeshift archive even though these solutions aren't designed for long-term data retention. Another significant barrier is vendor lock-in. Many traditional archiving solutions store data in proprietary formats either to optimize storage efficiency or for other purposes, creating long-term dependencies on specific vendors. This makes it difficult for organizations to retrieve archived data outside of the original system. A truly modern archiving solution must maintain data in its original format, ensuring accessibility regardless of changes to platform or vendor. Organizational buy-in also plays a crucial role in adoption. Until recently, many companies lacked formal retention policies, leaving IT teams without clear directives for an archiving strategy. Governance, risk and compliance teams are beginning to define organizationwide policies, but in their absence, data accumulates unchecked. This leads to increased costs and security risks associated with aging data. The tech industry must support these efforts by offering solutions that integrate seamlessly with existing infrastructures, ensuring compliance while simplifying data management. By addressing these concerns, modern archiving solutions can transition from niche tools to essential components of digital infrastructure. Orchestrate To Accumulate Operationally, archiving can also help avoid performance degradation as storage systems inevitably fill up, resulting in faster backups and reduced replication loads. From a sustainability perspective, moving cold data off energy-intensive storage platforms can significantly reduce carbon emissions, resulting in a smaller overall technology footprint. Success also depends on metadata insight. Files untouched for three-plus years often account for over 60% of stored data, representing a major opportunity at scale. Conceptually, this may seem trivial, but access to this kind of information is essential, particularly when an organization is using multiple storage systems and cloud services (probably from different vendors), storing billions or even tens of billions of files. Get this approach right, and the result is a far more manageable environment with the ability to continue to identify and relocate data as it ages and crosses archiving policy thresholds. When delivered as part of a broader data orchestration strategy, where data is automatically managed and coordinated across diverse storage systems, modern archiving enables ongoing accessibility throughout the data life cycle without the cost and complexity inherent in legacy approaches. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
