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Advanced AI News
Home » Komprise brings more simplicity to petabyte-scale data migrations
SiliconANGLE - Big Data

Komprise brings more simplicity to petabyte-scale data migrations

Advanced AI BotBy Advanced AI BotMarch 29, 2025No Comments4 Mins Read
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Big-data management company Komprise Inc. said today it’s expanding its popular Elastic Data Migration platform, with new capabilities that allow it to automate fully every step of the most complex enterprise data migrations.

The company specializes in unstructured data management, and one of its main capabilities is moving this information from on-premises environments to the cloud. It claims that its platform is able to accelerate these operations by up to 25 times over existing data migration methods.

It does this thanks to its proprietary Hypertransfer technology, which addresses shortcomings in the SMB network protocol that’s commonly used to move files to and from the cloud. According to Komprise, the Hypertransfer technology not only accelerates data migrations, but also helps to harden the security of any data being transferred.

Although Komprise has been around for a few years already, it says that data migrations continue to cause all sorts of problems for enterprises, with many such operations going over budget and dramatically exceeding their planned timelines. That’s because data migrations are not only complex but also very manual processes, which increases the chances of errors being made.

That’s why Komprise is expanding the Elastic Data Migration platform in its spring 2025 release, enhancing its analytics tools and flexible reporting capabilities to try and simplify the complexity of migrations as much as it possibly can.

For instance, the platform can now automatically create and map “destination share hierarchies,” which is one of the most laborious tasks involved in setting up data migrations. In larger migrations, such tasks can take hours because users have to manually setup thousands of shares, so the automation of this work should be a huge time saver.

The company is also introducing automated user/permission mapping features, automating the process of changing owner and group permissions for files based on their customer-defined mapping policies. For transparency, the company is enhancing its reporting features, automatically generating consolidated chain-of-custody reports about the entire migration process. This is a key update for companies in highly regulated industries, where chain-of-custody reports are required as evidence of successful data migrations.

Finally, the company said it’s introducing transparent share mapping for tiering, which provides users with insights into which bits of “cold data”, or information that’s rarely accessed, can be tiered into lower cost secondary storage. In doing this, it reduces the amount of overall data that must be migrated to new storage.

Cloud partnerships

As well as the new features, Komprise announced some key new partnerships with Microsoft Corp. and Amazon Web Services Inc.

Microsoft says Komprise’s Elastic Data Migration is now its platform as choice for moving petabyte-scale workloads across hybrid information technology environments via the Azure Migrate Program. Meanwhile, Komprise is now the “prescribed” migration service on AWS for all unstructured data migrations. Through these partnerships, Komprise’s platform should see a dramatic increase in the number of migrations it handles.

Komprise co-founder and Chief Operating Officer Krishna Subramanian said cost savings and cost avoidance are major priorities for enterprises amid all of the concerns about tariffs on trade and the impact they’ll have on the information technology industry.

“IT leaders are looking for efficiencies across the board and data migrations can incur unnecessary extra costs and risks,” he said. “Komprise is continually adapting to these new realities with features that help stakeholders align on which unstructured data to move, automation to set up migrations and detailed reporting for ongoing data governance.”

Image: SiliconANGLE/Dreamina

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