Cloudian HyperStore Object Storage Now Integrates with Microsoft SQL Server 2022

Cloudian’s HyperStore object storage platform is now integrated and validated to work with Microsoft SQL Server 2022, a relational database management system that supports a wide variety of transaction processing, business intelligence, and analytics applications.

As a result, Microsoft SQL Server 2022 customers will be able to take advantage of the public cloud-like scalability and flexibility Cloudian brings to users’ own data centers, according to the vendor.

Cloudian was invited to participate in Microsoft’s Early Adopter Program and after conducting validation testing to ensure seamless integration with SQL Server, the company is part of the newly announced Microsoft SQL Server public preview.

Featuring fully native S3 compatibility, limitless scalability and industry-leading security—including data immutability for protection against ransomware—Cloudian’s HyperStore solution provides this foundation. It also offers advanced metadata tagging, enabling faster data searches and facilitating artificial intelligence, machine learning and analytics applications.

The combination of HyperStore and Microsoft SQL Server enables the creation and deployment of analytical queries for complex applications in cybersecurity, predictive maintenance, risk management and many other areas. It addresses three main use cases:

  • Staging files for loading.
  • Storing database backups.
  • Enabling federated queries using data stored with HyperStore.

In addition, the products support data professionals and their testing of diverse models in parallel on multi-structured data sets, including machine learning.

“Today’s announcement again highlights Cloudian’s leadership in hybrid cloud data management,” said Jon Toor, chief marketing officer, Cloudian. “We were honored that Microsoft invited us to participate in its Early Adopter Program and now look forward to helping more customers leverage the combined solution to extract greater value and insights from their on-prem data.”

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