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Datos IO Introduces RecoverX, Scale-Out Data Protection Software for Cloud Native and Big Data Environments

datos-io-logoDatos IO, a provider of next-generation data protection solutions, announced the general availability of RecoverX, scale-out data protection software for third platform applications and  distributed and cloud databases. Developed upon Datos IO’s patented CODR TM technology, RecoverX protects, recovers and manages third platform enterprise applications including SaaS, IoT, Analytics and e-commerce deployed across on-premise, PaaS and IaaS environments against data corruption, disasters and human error.

With capabilities such as scalable versioning and industry-first semantic deduplication, Datos IO RecoverX is ushering in a next-generation class of data protection solutions for the data-centric era of web-scale applications and distributed database environments, including DataStax, Apache Cassandra and MongoDB.

Enterprises are rapidly adopting third-platform technologies to drive business innovation,” said Phil Goodwin, Research Director, Protection, Availability and Recovery at IDC. “IT managers using the distributed databases supporting these next-generation applications need enterprise-class data protection solutions designed specifically for them. With RecoverX, Datos IO is offering a data protection solution designed specifically for these application environments to protect, recover and manage data over its lifecycle.”

Next generation and web-scale applications are rapidly changing the enterprise database landscape, reshaping the way IT and database admins interact with and protect data. To help enterprises thrive and accelerate innovation without compromising data loss, RecoverX protects and recovers data by delivering concise, consistent, and logical recovery solutions for applications deployed on either distributed open-source databases or cloud databases.

The Technology Behind Datos IO RecoverX: CODRTM

RecoverX is founded upon Consistent Orchestrated Distributed Recovery (CODR) architecture, a seminal data protection architecture that is no longer dependent on media servers and transfer data in parallel to and from file-based and object-based secondary storage. CODR delivers cluster-consistent backups that are highly space-efficient yet available in native formats. CODR allows RecoverX to provide scalable versioning that enables enterprises to protect both Apache Cassandra and MongoDB at any interval and granularity, one-click recovery in minutes (not hours) for both operational recovery and test/dev use case, as well as industry-first semantic de-duplication capabilities to save up to 70% on secondary storage costs.

As enterprises seek to exploit large-volume, high-ingestion and real-time data, they are turning to scalable, eventually consistent, key-value systems,” said Tarun Thakur, co-founder and CEO of Datos IO. “This fundamental shift raises critical issues in the lifecycle of data management, most notably the need for backup and recovery solutions able to scale with next-generation systems. Datos IO is in the forefront position with RecoverX, empowering application owners and IT owners with an enterprise-ready data protection solution purpose-built for third platform applications – a market space experiencing massive growth and adoption, yet until recently lacking in data protection and data management at scale.”

Systems Compatibility

Datos IO RecoverX supports Apache Cassandra (v2.0, v2.1), DataStax DSE (v4.5, v4.6, v4.7, v4.8) and MongoDB (v3.0, v3.2).  Datos IO RecoverX supports a wide variety of secondary storage options with NAS storage for on premise data protection requirements, Amazon S3 storage and Google Cloud Storage support for IaaS and PaaS environments.

Pricing and Availability

Datos IO RecoverX data protection software is available in Standard and Enterprise editions with annual subscription, with free trial (usage limits on cluster size and database size apply) on Amazon Web Services (AWS) or Google Cloud Platform (GCP) based environments. Pricing is capacity based with no dependency on node count, thus enabling enterprises to scale across a wide variety of cluster sizes.

 

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