Datos IO Extends RecoverX to Meet Backup and Recovery Needs for Cloud-Native Workloads on AWS

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datos-io-logoDatos IO, a leading provider of cloud-scale data protection software, announced its membership within Amazon Web Services’ (AWS) Partner Network (APN). As a new Standard Partner in the AWS Partner Network (APN), Datos IO will enable enterprises to protect their next-generation SaaS applications or applications (such as Internet of Things (IoT), Analytics, eCommerce and others) hosted on IaaS and PaaS architectures natively deployed on AWS against data corruption, disasters and human errors.

With its flagship RecoverX software, the NoSQL, scale-out distributed database recovery software, Datos IO addresses the next generation backup and recovery requirements of scale-out software, always-on data protection infrastructure, flexible Recovery Point Objectives (RPOs) and Recovery Time Objectives (RTOs), and API-based architecture. Enterprises can now deploy Datos IO RecoverX on AWS using Amazon Elastic Compute Cloud (Amazon EC2) instances for compute as well as store backups natively in the cloud to Amazon Simple Storage Service (Amazon S3), or alternatively to on-premise file and object stores. RecoverX allows enterprises to recover data natively in the cloud, recover data back from the cloud to on-premise secondary storage for data portability, and for multi-cloud from one cloud to another – helping enterprises implement their multi-cloud strategies.

The Need for Cloud-Scale Data Recovery

Although the cloud provides security and data availability, data is still vulnerable to internal user error which can result in accidental deletion” said Henry Baltazar, Research Director of Storage for 451 Research.  “Datos IO’s RecoverX software can be run on the AWS Cloud to protect application data and provide rapid recovery should data become corrupted or deleted.”

Datos IO Deployments on AWS

As enterprises increasingly deploy next-generation applications on scale-out and cloud databases, the need to protect mission-critical application data becomes more immediate. Additionally, enterprises across various verticals have strict compliance and IT governance standards mandating the need of backup and recovery as part of the application stack – a requirement when deploying on the cloud. Early adoption use-cases include:

  • A leading auto finance organization selected Datos IO RecoverX to meet compliance requirements for an operational reporting application deployed on Cassandra database on AWS. Datos IO enabled the customer to leverage scale and availability of the cloud, without compromising internal IT compliance and governance standards for data protection.
  • An IoT PaaS platform provider deployed Datos IO RecoverX natively on AWS to backup time-series data residing on Cassandra databases on AWS platform. RecoverX met critical requirements for point-in-time backup of aggregated sensor data at scale across their ever-growing customer base.

Cloud Data Backup is a crucial requirement of enterprises who are running mission-critical applications on the cloud, and starting today Datos IO RecoverX for AWS provides companies with assurance that their data “in” the cloud is protected at scale with unprecedented confidence of recoverability,” said Tarun Thakur, CEO and co-founder of Datos IO. “Today’s announcement of enabling RecoverX for cloud-native workloads on AWS platform is an important step towards our vision of pioneering application recovery management across multiple data stores, across multi cloud deployments, and making it consumable with as a service model.”

RecoverX is founded upon Consistent Orchestrated Distributed Recovery (CODR®) architecture, a seminal data protection architecture that is no longer dependent on media servers and transfers data in parallel to and from file-based and object-based secondary storage. CODR allows RecoverX to provide scalable versioning that enables enterprises to protect their data at any interval and granularity, one-click recovery in minutes (not hours) for both operational recovery and test/dev use cases, as well as industry-first semantic de-duplication capabilities to save up to 70 percent on secondary storage costs.


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