Cloud Databases

Next-generation backup and recovery for modern applications and NoSQL databases, including MongoDB, Cassandra, DataStax, Couchbase, and Amazon DynamoDB, and others

Key Benefits

Availability and Performance

  • Performance scales with application
  • Comprehensive Failure Handling Techniques

Any Point-in-Time Protection

  • Backup databases at any interval and at any granularity
  • Cluster-consistent point-intime backups

Recover in Minutes, not Hours

  • Single-click fully orchestrated recovery
  • Recovery to same or different size clusters
  • Reduced application downtime

70% Reduction in Storage Cost

  • Semantic deduplication cuts secondary storage needs
  • Enables faster backup and recovery


Businesses are in the midst of a digital transformation journey. According to research from IDC, 70 percent of CIOs have a cloudfirst 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 next-generation, hyperscale applications that are designed for the cloud — whether private, public, or managed.

With enterprises rapidly adopting hybrid and multi-cloud infrastructure, migrating traditional workloads to the cloud and building cloud-first applications based on hyper-scale, distributed architectures have become de-facto standards. Like other platforms before it, cloud needs a backup and recovery strategy, but traditional strategies have not kept pace with this rapid change. To address the backup and recovery requirements brought on by multi-cloud, a new cloud-first approach to data protection is required.


RecoverX is elastic, scale-out software purpose-built for multi-cloud, hyper scale environments, delivering failure resiliency to your data protection infrastructure as well as flexible recovery point objectives (RPO) from minutes to hours.


RecoverX is built to address the data protection and recovery needs of cloud-based traditional and next-generation applications.

Availability and Performance

RecoverX is elastic compute based software that seamlessly scales up and down as application requirements dictate. Unlike traditional backup solutions, RecoverX doesn’t rely on media servers that can create choke points. Instead, RecoverX uses parallel streams to move data from source to destination and keeps data in native formats.

Any Point-in-Time Protection

Datos IO allows you to backup your databases at any interval and at any granularity. The backups are cluster-consistent and application-consistent, incremental forever, and always maintained in native formats on secondary storage. The true point-in-time backup copy uses clusterconsistent versioning to ensure reliable backups of eventually-consistent distributed databases and nextgeneration applications. This also allows RecoverX to run backup operations without quiescing the database.

Recover in Minutes, Not Hours

Orchestrated and reliable recovery lets you restore for operational recovery and for test/dev use cases, both on-premise and across cloud boundaries. All recovery operations result in repair-free restores, leading to reduced application downtime. Datos IO RecoverX provides a single-click, fully orchestrated point-in-time recovery of data. Data can be recovered directly back into the production cluster (source) or to alternate (test/dev) cluster (target) with a different topology. Because the backups are deduplicated, recovery process only deals with logical data, making it at least 3x faster than traditional approaches, providing significant reduction in RTO.

Up to 70 Percent Reduction in Storage Costs

Industry-first semantic deduplication disrupts the traditional notion of block-level deduplication and provides space-efficient backups, achieving up to 70% reduction in secondary storage costs.

RecoverX: Backup and Recovery