Cloud Backup and Recovery For Relational Databases

Cloud backup and recovery, cloud data protection, cloud data mobility, application mobility, cloud instantiation of Microsoft SQL Server

Key Benefits

Global Data Visibility

  • Metadata catalog is distributed across on-premise and clouds
  • Assures consistent view of data
  • Access and restore data anywhere, on
    any topology

Highly Efficient Data Movement

  • Industry-first semantic deduplication
  • Reduces data footprint by 10x
  • Limits data transfer to and from the cloud

Granular Data Mobility

  • Query-based restore capability
  • Mobilize bite-size chunks of data anywhere
  • Work with data at the row, column and table level

Lower Data Management Costs

  • 70% lower storage requirements
  • Fast access to data saves developers hours
  • Reduce infrastructure capital costs by leveraging the cloud

THE CHALLENGE

Cloud changes everything. Multi-cloud is a norm: enterprises deploy applications in the best suited cloud platform. The only thing in common is the data itself. Enterprises are looking for efficient ways to move traditional applications to the cloud to help drive operational efficiency, while empowering their application developers to focus on innovation.

It is possible to run traditional apps in the cloud, but moving data is a much harder problem – particularly if the data needs to remain mobile. So for most purposes, data is anchored and kept on-premise. Data protection techniques available today are either VM or LUN based. Existing solutions are designed specifically for operational recovery and work at the infrastructure level, and lose application-context — however, there are no VMs or LUNs in the cloud. To access the data, enterprises need to restore entire set of data, rebuild the database, and configure applications — all on a different topology and infrastructure. Most public cloud data migration tools or cloud backup products are expensive, slow, and siloed. Moreover, it is complex to move data from relational databases like SQL to the cloud for non-production access.

To take advantage of the cloud, data needs to be mobile — not just from the datacenter to the cloud, but back to the datacenter for portability or even between clouds.

THE SOLUTION: Datos IO RecoverX

Mobility extends data protection into newer data management use cases. Enterprises need to work with data in the most efficient way possible. Today, that means making data accessible in the cloud for Continuous Integration and Continuous Delivery, Testing and Development, Quality Assurance, Data Analytics and other functions.

Datos IO RecoverX is the application-centric data management software that works at the application layer and lets enterprises (both protect and) mobilize data to the cloud. RecoverX makes provisioning traditional data into the cloud simple, fast and efficient, so that development, testing, QA, and business analyst teams can work with enterprise data in the cloud — the way they expect to.

Use Cases

  • Data mobility TO, FROM and ACROSS clouds
  • Test/Dev, analytics, cloud on-ramping, migration, prestaging, performance testing — all TO / IN the cloud
  • Backup and recovery IN the cloud
  • Backup and recovery TO the cloud
All of the above infrastructure agnostic (physical server, VM, hyper-converged/HCI) and Cloud Native (AWS, GCP, Azure).

FEATURES AND BENEFITS

Datos IO RecoverX is built to address the data mobility needs of today’s enterprises.

Highly Efficient Data Movement

Semantic deduplication is an industry-first capability that significantly increases the efficiency of storing and moving backups by deduplicating data at a tablelevel rather than block-level (LUN or VM snapshots). RecoverX semantic deduplication disrupts the traditional notion of block-level deduplication and provides 10x greater space-efficient backups.

This same, unique technology dramatically reduces data transfer to or from the cloud, making moving data much more efficient and less expensive. Since cloud providers often charge to move data between regions, out of the cloud, or between clouds, enterprises save costs and time.

RecoverX frees enterprises to move data and let DevOps, test, analytics and other teams extract data efficiently and quickly.

Global Data Visibility

The RecoverX globally distributed metadata catalog assures a consistent view of data across any cloud or datacenter. Secondary copies of data are consistent with each other and with the production database, regardless of where the data is stored.

This also enables simple, fast access to data anywhere, on any topology, on-premise or in any cloud. Whether it’s for DevOps, performance testing,analytics, or operational recovery, RecoverX gives your data the freedom to move to and across clouds.

Queryable Recovery

The unique query-based restore capability in RecoverX lets users access, restore, and manipulate data at the row, table, and column level. Since RecoverX enables highly efficient, granular data movement to any cloud or topology, users can work with the specific data they need.

Lower Data Management Costs

RecoverX simplifies cloud data management and reduces costs. The efficient semantic deduplication in RecoverX disrupts the traditional notion of block-level deduplication and provides 10x greater space-efficient backups. Fast access to data also saves development, test, and QA teams hours by eliminating the need to request and provision infrastructure each time they need to restore and work with data. Lastly, RecoverX lets enterprises reduce infrastructure capital costs by moving data to the cloud and taking advantage of the flexible, opex model offered by cloud providers.