Datos IO recently announced the general availability of RecoverX, a data protection software platform for third platform applications and distributed databases. RecoverX has the ability to recover and protect SaaS, IoT and Analytics applications within on-premise and cloud-based environments. Designed for database environments that include DataStax, Apache Cassandra and MongoDB, RecoverX responds to a market need for scale-out data protection solutions capable of tackling data recovery problems specific to distributed database and application infrastructures. RecoverX boasts breakthrough deduplication capabilities that shrink the time and storage space required for backups by enabling backups to focus on incrementally new datasets in contrast to the entire dataset in question. The platform also delivers a scalable versioning infrastructure that simplifies the process of identifying versions of backups for recovery purposes. RecoverX’s functionality allows customers to designate a subset of infrastructure—whether it consist of a workload, infrastructure component, business unit or line of business–for recovery, as required. Datos IO co-founder and CEO, Tarun Thakur, remarked on the positioning of Datos IO and RecoverX within the broader contemporary computing market landscape as follows:
As enterprises seek to exploit large-volume, high-ingestion and real-time data, they are turning to scalable, eventually consistent, key-value systems. 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 these next-generation systems. RecoverX empowers application and IT owners with enterprise-ready data protection purpose-built for third platform applications – and puts Datos IO at the forefront of a market space experiencing massive growth, yet until recently lacking in data protection and management at scale.
Here, Thakur speaks to RecoverX’s ability to deliver enterprise-grade, data protection solutions for massive volumes of “large-volume, high-ingestion and real-time” data use cases as a solution that can scale with heterogeneous ecosystems of third platform applications. Moreover, Thakur notes the shift in contemporary data management towards “eventually consistent, key-value systems” such as MongoDB and Cassandra that can manage massive, highly dynamic updates to databases at scale. RecoverX differentiates from traditional backup and recovery solutions by boasting the capability to scale in relation to massive volumes of varied data at high velocities housed in distributed applications and infrastructures. By enabling customers to perform backups in minutes using one click by taking advantage of its Consistent Orchestrated Distributed Recovery (CODR) architecture, the platform absolves customers of the problem of backup and recovery for large and dynamic data infrastructures and delivers granular visibility into the status of backup operations per the screenshot below:
Learn more about the Datos IO story as told by investors and partners through the video clip below:
Cloud Computing Today 
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