Datos IO, which built its reputation as a data protection provider for NoSQL databases but has since branched out to cover all cloud-based apps, has updated its frontline product for multiple cloud deployments.
RecoverX 2.0, released May 2, has been optimized for users looking for better operational efficiencies as they deploy next-gen, customer-centric applications in the cloud and scale up conventional apps throughout hybrid-cloud and multi-cloud infrastructures.
The Datos IO platform understands semantics at a table-level, record-level or column-level and enables rich data services such as search and analytics, the company said. This approach enables organizations to protect application data on the cloud best suited for an application.
"Our platform can determine the semantic differences, or no difference, in statements like this: 'Peter lives in Dallas,' vs. 'Dallas is where Peter lives.' Our global metadata catalog will know these mean the same thing and will dedupe the extra data out," Datos IO Vice President of Marketing and Business Development Peter Smails told eWEEK.
While it doesn't seem like much at first, a feature like that can be responsible for saving a great deal of storage space across a large system.
"We have a solution no one has delivered before,” CEO Tarun Thakur said. “Cloud data management is not about selling boxes or appliances; hardware is a commodity. The power of cloud data management is in the control plane, because that’s what enables customers to manage, protect, mobilize and harness the value of their data across all cloud boundaries.”
Key features of v2.0, according to Datos IO:
--Migration of on-premise applications to and across clouds with new data mobility for relational databases. Enterprises that are migrating traditional applications (starting with Microsoft SQL Server) to the cloud can now 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 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 (regardless of physical server, or virtual machine (VM), or hyper-converged/HCI) or natively in public cloud environments; this provides app-centric data protection, regardless of deployment on physical server, virtual machine (VM) or hypercoverged infrastructure.
--Backup and recovery for big data file systems: RecoverX 2.0 adds data protection support for Apache Hadoop distributions, including Cloudera and Hortonworks, providing petabyte scale backup and recovery for HDFS-based file systems, fast recovery at file-level granularity and storage efficiency with file-based, global semantic deduplication.
--Elastic scaling: RecoverX 2.0 is now available as a 5-node software cluster for high performance, availability and scale, and can be scaled up (3-node to 5-node)and down (5-node to 3-node) as application requirements dictate;
--Enterprise policy management that further automates data protection operations, including adding/removing/pausing/resuming backups, backup NOW, and rule based addition for dynamically generated database objects (such as tables);
--Operational metrics: RecoverX 2.0 enhances operational montoring by delivering rich analytics on data source patterns and data protection.
RecoverX 2.0 is built upon CODR, the company’s appl-centric data management architecture. For more information, go here.