Application-Centric Data Management Platform for Multi-Cloud

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Application-Centric Data Management Platform for Multi-Cloud

RecoverX 2.0 delivers 10x storage efficiency, powers cloud data protection and cloud mobility for enterprise applications, backup, and recovery for Big Data filesystems.

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I had a chance to talk to Peter Smails, V.P. Business Development and Marketing for Datos IO. Datos built their business by providing data protection for NoSQL; however, with the launch of RecoverX 2.0, Datos is now a cloud data management company. It includes new capabilities and platform enhancements, enabling organizations to be more agile, enhance productivity, and reduce cost by accelerating their adoption of hybrid cloud and multi-cloud infrastructures. 

Customers are in the midst of a digital transformation journey where they are either deploying next-generation customer-centric applications natively in the cloud or migrating their traditional applications to the cloud – all with the end goal of driving operational efficiency and to deliver top line growth with new customer-centric products and services.  Datos IO enables organizations to operate their IT across a multi-cloud infrastructure by protecting and managing applications on the best-suited cloud whether private cloud, public cloud, or hybrid clouds. 

With the release RecoverX 2.0, Datos IO extends their application-centric data management approach to:

  • Cloud data mobility for relational databases: organizations that are migrating traditional applications (starting with Microsoft SQL Server) to the cloud can now intelligently and efficiently move non-recovery workloads from on-premises to the cloud, across clouds, and from the cloud back to on-premises, all in native format.
  • Cloud data protection for relational databases: RecoverX 2.0 introduces data protection support for relational databases including Microsoft SQL Server hosted in private cloud or natively public cloud environments, providing application-centric data protection regardless of deployment on physical server, virtual machine (VM), or hyper-coverged infrastructure (HCI).
  • Backup and recovery for Big Data filesystems – RecoverX 2.0 adds data protection support for Hadoop distributions including Cloudera and Hortonworks providing petabyte scale backup and recovery for HDFS based digital repositories, fast recovery at file-level granularity, and 10x storage efficiency with file-based semantic deduplication.

To power these new capabilities, and to enhance the user experience of their rapidly growing base of enterprise customers, Datos IO also announced significant platform capabilities including:

  • Elastic scaling: RecoverX 2.0 is now available as a 1-node, 3-node, and 5-node cluster for high performance, availability and scale, and can be scaled up and down as application requirements dictate.
  • Enterprise policy management: that further simplifies and automates data protection operations, including adding/removing/pausing/resuming backups, backup NOW, and rule based addition for dynamically generated database objects (e.g. tables)
  • Operational metrics: that enhance montoring by delivering rich analytics on data patterns and data protection. 

"We are delivering a solution no one has delivered before,” said Tarun Thakur, CEO of Datos IO.  “Our application centric approach to data management delivers protection and mobility for traditional and next-generation applications, enabling them to fully leverage the economic and productivity benefits of cloud while avoiding the inherent complexities of multi-cloud.  As organizations continue their rapid adoption of cloud we will continue to innovate and lead the cloud data management market for years to come.”

Data Management Reinvented for a Multi-Cloud World

From their founding, Datos IO has understood that multi-cloud is the new normal and data management needs to be fundamentally reinvented.  Unlike conventional data management solutions that operate at a VM-level or at a storage LUN-level, Datos IO solutions are built upon CODR, the company’s application-centric data management architecture.

Addressing Enterprise Transformation

As part of today’s announcement, Datos IO also announced the availability of solutions with multiple leading data center infrastructure vendors including Cisco, NetApp, and VMware.

cloud, cloud data management, datos io, multi-cloud

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