Datos IO Unveils Latest Application-Centric Data Management Platform with Cloud Mobility and Cloud-Native Backup and RecoveryMay 2, 2017
Datos IO, the application-centric data management company, today announced RecoverX 2.0, enabling organizations to be more agile, enhance productivity, and drive operational efficiency as they deploy their next-generation customer centric applications in the cloud and scale their traditional applications across hybrid-cloud and multi-cloud infrastructures.
Data Management Reinvented for a Multi-Cloud World
Since its inception, Datos IO has realized the importance of data as the only common denominator binding all clouds together. To enable success for customers in their journey towards cloud adoption, Datos IO brings to the table ground-breaking innovations:
- An elastic compute engine that can be scaled up or down based on application needs.
- Application-centric semantic deduplication that provides an order of magnitude higher storage efficiency than current approaches on both traditional and next-generation applications.
- Rich data services (e.g., BI, search) built on top of a globally distributed metadata catalog.
Datos IO is focused on leveraging the promise of the cloud (elasticity, availability) while eliminating cloud silos and facilitating complete data protection and mobility across a multi-cloud infrastructure. This allows enterprises to go beyond data protection to two powerful use cases: first, easily exchange data across siloed organizations to realize the promise of a data hub; and second, increase application agility by enabling instant application deployments in the cloud.
"We are delivering a solution that no one has before," said Tarun Thakur, co-founder and CEO of Datos IO. "Cloud data management is not about selling boxes, appliances, or proprietary filesystems. It’s also not about porting legacy backup software to the cloud. Cloud data management is about reinventing the control plane with cloud principles in mind – elasticity, application-centricity, and scale – because that’s what enables customers to manage, protect, mobilize, and harness the value of their data across all cloud boundaries."
RecoverX 2.0 is focused on supporting customers in their journey towards cloud adoption, and facilitates both moving traditional on-premise applications to the cloud and protecting applications in the cloud, irrespective of the choice of database technology: non-relational, relational, or Big Data.
With the release of RecoverX 2.0, Datos IO extends its unique application-centric data management approach to:
- Migration of on-premise applications to and across clouds with new 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, with storage efficiency that is 10x that of traditional block-based or variable-length deduplication techniques.
- Cloud-native backup and recovery for traditional and next-generation applications – RecoverX 2.0 introduces data protection support for relational databases including Microsoft SQL Server hosted in private cloud or natively in public cloud environments, providing application-centric data protection regardless of deployment on physical server, virtual machine (VM), or hyper-converged infrastructure (HCI).
- Backup and Recovery for Big Data Filesystems – RecoverX 2.0 adds data protection support for Apache Hadoop distributions including Cloudera and Hortonworks providing petabyte scale backup and recovery for HDFS-based filesystems, fast recovery at file-level granularity, and unparalleled storage efficiency with file-based global semantic deduplication.
To power protection and mobility of all of these data sources and to enhance the user experience of their rapidly growing base of enterprise customers, Datos IO also announced significant platform enhancements including:
- Elastic Scaling – RecoverX 2.0 is now available as a five-node software cluster for high performance, availability and scale, and can be scaled up (three-node to five-node) and down (five-node to three-node) as application requirements dictate.
- Enterprise Policy Management – 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 – RecoverX 2.0 enhances operational monitoring by delivering rich analytics on data source patterns and data protection.