Datos IO Inc. is rolling out what it calls a major new release of its scale-out data protection software for distributed database environments.

RecoverX 2.0 includes new capabilities that ease the task of migrating in protecting data in mixed on-premises and cloud environments. The new release supports improve cloud data mobility for relational databases, beginning with Microsoft SQL Server. This enables companies to more efficiently move non-recovery workloads from a captive data center to the cloud, across clouds, and from the cloud back to on-premises, all in native format.

“Our previous focus was on cloud data protection for NoSQL databases,” said Peter Smails, vice president of marketing and business development. However, he added, “our vision has always been to help folks protect and mobilize data to and from and within clouds.” Additional platforms beyond  SQL Server will be supported, he said.

RecoverX is based upon a data protection architecture that doesn’t require media servers and that transfers data in parallel to and from file-based and object-based secondary storage. This results in cluster-consistent backups that are space-efficient but still use native formats. This enables the product to deliver scalable versioning for supported databases at any interval and granularity, as well as one-click recovery in minutes for both operational recovery and test and development purposes, according to the company.

RecoverX 2.0 also introduces data protection support for relational databases including Microsoft SQL Server hosted in private cloud or native public cloud environments, providing application-centered data protection regardless of whether databases are deployed on physical servers, virtual machines or hyper-converged infrastructure.

The new version also adds petabyte-scale backup and recovery for Hadoop HDFS data stores from Cloudera Inc. and Hortonworks Inc. Backup and recovery can be done at the file level with up to a tenfold improvement in storage efficiency thanks to file-based semantic de-duplication, which understands the semantic relationships between data elements. The platform supports any back-end storage target, whether file- or object-based, Smails said.

With improved scaling, RecoverX 2.0 is now available in one-node, three-node and five-node cluster configurations, which can be scaled up and down as application requirements dictate. Five-node clustering is new, and “gives us the ability to support multi-terabyte databases and hundreds of tables,” Smails said.

Enterprise policy management support further simplifies and automates data protection operations, including adding, removing, pausing and resuming backups, on-demand backups and rule-based additions of dynamically generated database objects, such as tables. Finally, RecoverX is now available as a Chef cookbook, Docker image or native on Amazon Web Services Inc. EC2 cloud infrastructure.

The product comes in standard and enterprise editions on an annual subscription basis. Capacity-based licensing starts at $5,250 for the first terabyte with volume discounts. There’s also a free trial version.

Image: Datos IO