Key Benefits

Application-Consistent Backup and Recovery

  • Backup cloud applications directly to AWS or natively on AWS
  • Address the most stringent RPOs and RTOs
  • Support for NoSQL and Non-relational databases and big data filesystems

Efficient Data Mobility To and From AWS

  • Rapid instantiation of application data on AWS
  • Increased developer agility and productivity
  • Long-term retention of backup data to AWS reduces burden on data center

Massive Operational Efficiency

  • Consistent view of data on-premises and AWS environments
  • Up to 90% reduction in cloud storage / backup requirements
  • Native integration with IAM roles and AWS security groups and policies

The Challenge

Organizations that have adopted Amazon Web Services (AWS) require a cloud-first backup and recovery strategy that provides backup to the cloud for on-premises applications, and cloud native backup and recovery for legacy ‘lift and shift’ applications.  They also need complete data mobility — not just from the datacenter to AWS, but back to the datacenter for portability and compliance needs, or even between AWS instances for development and DR needs. The challenge is that cloud infrastructure is fundamentally different from elastic compute, elastic storage, geo-distributed,  always-on capabilities. Traditional backup and recovery products based on media server based architecture, traditional deduplication methodologies, and reliance on LUNs or VM as the protection unit are a misfit for cloud native workloads and applications.

Public Cloud Data Protection Use Cases

Customers leveraging hybrid cloud infrastructure typically look for the following use cases and associated features:

  • Cloud-native, application consistent backup and recovery for ‘lift and shift’ applications, and next generation cloud-native applications on AWS
  • Backup and recovery of on-premises data directly to AWS
  • Moving test and development workloads to AWS for cloud instantiation
  • Cost-effective long-term retention of backup and archive data sets on AWS

The Solution: Datos IO RecoverX for AWS

Datos IO RecoverX is a scale-out, elastic software-only data management platform that runs on-premises or natively on AWS and delivers scalable and fully featured point-in-time backup and recovery as well as data mobility to, from, and within AWS public cloud for traditional applications and cloud-native applications.

Features and Benefits

RecoverX is built to address the cloud backup and recovery needs of ‘lift and shift’ applications and cloud-native applications deployed on cloud infrastructure.

Hybrid Cloud Data Management

Datos IO RecoverX can be deployed on-premises on a physical server or virtual machine for private cloud deployments, or as a cloud-native Amazon Machine Image (AMI) on Amazon EC2, enabling complete data management across your hybrid cloud infrastructure.

Scale-Out Data Management Architecture

 Datos IO RecoverX is available as a 3-node software instance or 5-node software instance. It can be auto scaled per application load and RPO / RTO needs.

Industry First Semantic Deduplication Recovery

Semantic deduplication deduplicates data at a table-level (application awareness with data formats) rather than block-level (LUN or VM snapshots). providing up to 10x greater backup storage efficiency.

Global Data Visibility: Anytime and Anywhere

RecoverX encompasses a globally distributed metadata catalog that ensures a consistent view of data across on-premises and AWS datacenter environments. Secondary copies of data (backup, archive, test/dev) are consistent with each other and with the production environments regardless of where the data is stored — making data available anytime and anywhere.

This also enables simple, fast access to data anywhere, on any topology, across on-premises and AWS infrastructure.

Scalable Backups

Datos IO allows you to backup at any interval and at any granularity. Point-in-time backup copies use cluster consistent versioning to ensure reliable backups of eventually-consistent distributed databases and next generation applications.

Fully Orchestrated and Granular Recovery

Orchestrated and reliable recovery enables flexible RPO and RTO objectives both on-premises and across AWS cloud boundaries. Because the backups are deduplicated, recovery processes only deal with logical data, making it at least 3x faster than traditional approaches, providing a significant reduction in RTO.

Policy Based Operational Management

With a powerful policy-based data protection engine, Datos IO RecoverX empowers database administrators (DBAs), DevOps and IT operations teams to schedule backup policies at any granularity that they need, and automate the process of test/dev refreshes.

Ready to become a data hero?