Data Archival

Long-term retention of applications and data to the cloud for Compliance and IT governance

Key Benefits

Any Point-in-Time Data Access

  • Archive data at any interval and at any granularity
  • Extract data at the table, row, and key value store level from any point-in-time

Maintain Native Data Formats

  • Preserves data integrity for later access
  • Accelerates compliance investigations and audit responses

Platform Independent Archive

  • Single-click fully orchestrated full or partial restore
  • Seamless archive on-premise or to the cloud

Reduce Archiving Costs

  • 70% lower storage costs for long-term data archiving
  • Faster retrieval of archived data


Businesses are in the midst of a digital transformation journey. According to research from IDC, 70 percent of CIOs have a cloud-first strategy with the objective of harnessing the power of the cloud to drive growth by delivering new customer-centric products and services, while also driving greater operational efficiency. As part of this journey, enterprises are now operating IT across a multi-cloud infrastructure, deploying applications on the best suited cloud whether private, public, or managed.

The cloud can be a very cost-effective platform for storing archival workloads but organizations need a secure, intelligent, and efficient way to move archival data to and from the cloud. To address the data archive requirements brought on by a new cloud-first approach to data archive is required.


Datos IO RecoverX, an industry-first distributed data management software, gives enterprises a cost-effective solution for archiving data from their high-value next-generation applications. RecoverX enables enterprises to protect, recover, and manage these hyperscale applications against data corruption, disasters, and human errors.


Datos IO RecoverX is built to address the data archiving needs of next generation scale-out applications and databases.

Any Point-in-Time Data Access

Datos IO RecoverX provides a true point-in-time archive at the application layer. This enables enterprises to quickly recover and access archived data and previous versions of data. RecoverX can also extract data at row or table level granularity, saving teams hours they would otherwise spend restoring an entire databa sets. This also enables rapid access to specific data from the archive when it’s needed.

Maintain Native Data Formats

Datos IO RecoverX creates backups in the native data format, saving enterprises the time and effort needed to otherwise convert, compress, uncompress, and restore data. If data is stored in Cassandra, MongoDB, Microsoft SQL, or any other supported platform, the secondary copies are always in the same format, meaning they can be read natively by the application. Access to archive data for any reason is much faster whenever you need it.

Platform Independent Archive and Restore

Datos IO RecoverX can write archive data to any onpremise or cloud storage platform, or even use multiple platforms and clouds. This lets enterprises store archive data to suit their needs — on-premise or in a higher performance cloud tier for fast access, or in a longer-term archive tier in the cloud to reduce costs.

Orchestrated and reliable recovery also lets admins restore data from an archive quickly. Data can be restored directly back into the production cluster (source) or to alternate cluster (target) with a completely different topology. Because the backups are deduplicated, the recovery process only deals with logical data, making it at least 3x faster than traditional approaches, providing significant reduction in RTO.

Industry-First Semantic Deduplication

Datos IO RecoverX significantly reduces both the cost of maintaining data archives and restoring them when needed. It uses industry-first semantic de-duplication to reduce the cost of storing backups of distributed databases (key-value datastores, NoSQL databases, etc.) by 70 percent over their retention period.

Enterprise Policy Management

Often customers keep backup data for 30/60/90 days for operational recovery, and even shorter for periods for test/dev needs. Beyond this time period of the first 90 days to 1 year, customers may need to archive data for several years. Datos IO RecoverX allows customers to define intelligent policy management actions to reflect business and retention needs, according to management object (table, column, directory) and across secondary stores.