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 analysis.

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

Cloudian has been invited to participate in Microsoft’s Early Adopter Program and after performing validation testing to ensure seamless integration with SQL Server, the company is part of the recently announced Microsoft SQL Server Public Preview.

Featuring fully native S3 compatibility, unlimited scalability, and industry-leading security, including data immutability for ransomware protection, Cloudian’s HyperStore solution provides that foundation. It also offers advanced metadata markup, 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 fields. It serves three main use cases:

  • Intermediate files for loading.
  • Storage of database backups.
  • Enable federated queries using data stored with HyperStore.

Additionally, the products support data professionals and their testing of various models in parallel on multi-structured datasets, including machine learning.

“Today’s announcement further underscores Cloudian’s leadership in hybrid cloud data management,” said Jon Toor, CMO of Cloudian. “We were honored to have Microsoft invite us to participate in their Early Adopter Program and now look forward to helping more customers leverage the combined solution to extract greater value and insights from their on-premises data. “

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