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Ten Enterprises Turn to Datos IO RecoverX

Including Ayla Networks, Maxwell Health and Barracuda Networks

Datos IO, Inc., a provider of application-centric data management software that delivers data protection for cloud-scale applications, acquired 10 commercial enterprise customers for its product, RecoverX.

Ayla Networks

These customers, who span industry verticals including financial services, retail, e-commerce, media and entertainment, healthcare, and IoT, adopted the solution within the first six months of its availability. RecoverX is a component of the data management stack, providing enterprises multi-platform data protection for mission-critical applications designed to scale for business growth.

Datos IO customer Ayla Networks, Inc.‘s IoT platform relies on distributed technologies, including AWS cloud infrastructure and non-relational databases, to deliver the real-time and always-on access to IoT data that their geo-distributed customers demand.

Given the critical nature of our customer-facing data, a scalable, next-generation, cloud-native backup and recovery solution is a requirement,” said Adrian Caceres, co-founder and CTO, Ayla Networks. “We started with manual scripts, but quickly realized the complexity of protecting distributed applications and, more importantly, the burden on operational expenses and cloud storage costs. Moreover, scripts could not scale to match the rapid growth in applications and customers that our IoT platform is experiencing. With the cloud storage savings and operational ease that Datos IO RecoverX provides us, our DevOps teams are able to focus on developing IoT platform software that better serves our customers.

Datos IO RecoverX is founded upon Consistent Orchestrated Distributed Recovery (CODR), next-generation scale-out data protection architecture that is based on elastic compute services that can be auto-scaled with load, removes the dependency 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 so that enterprises can protect and backup their data at any interval and granularity. It enables one-click, orchestrated and repair-free recovery for both operational recovery and test/dev use cases, as well as industry-first semantic de-duplication that allows customers to save up to 70% on secondary storage costs.

Recent Highlights:

  • Gartner, Inc. listed Datos IO in the newly defined category of Cloud backup. The report1 states: “Backup of data generated natively in public cloud is an emerging requirement as more and more organizations realize that cloud providers are not responsible for data loss, even when data is generated in the cloud.
  • RecoverX was extended to meet backup and recovery needs for cloud-native workloads and hybrid cloud deployments on non-relational databases with AWS.
  • Datos IO introduced RecoverX 1.5, with support for Google Compute Engine and Google Cloud Storage to help further enterprise migration to the public cloud and multi-cloud environments.
  • Garnered multiple industry awards from publications, including CIO Review, InfoStor, TechTarget and CRN – all highlighting the innovative approach that Datos IO is taking to define application-centric data protection software for the cloud.

Data protection, data mobility and data monetization are rapidly changing as enterprises move legacy applications to the cloud and deploy next-generation applications natively in the cloud. Going forward, enterprise infrastructures are going to be made up of multiple clouds (public, private and hybrid), with the common denominator being ‘data’ across all of them,” said Tarun Thakur, co-founder and CEO, Datos IO. “These changes are driving enterprise interest in our products, which are being successfully deployed on leading public cloud platforms such as AWS and Google Cloud Platform. We have an outstanding opportunity and are excited about the year ahead.

Datos IO RecoverX is available with a free 30-day trial on AWS.

1 Gartner, Hype Cycle for Storage Technologies, 2016, July 5, 2016

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