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2017 Press Releases

August 11, 2017

Datos IO Recognized in Cloud Data Backup Category in Two Gartner 2017 Hype Cycles

Datos IO today announced that it has been recognized as a Sample Vendor in two Gartner reports; “Hype Cycle for Storage Technologies, 2017” and “Hype Cycle for Cloud Security, 2017.” Gartner notes that as more production workloads migrate to the cloud it has become vital to protect data generated natively in the cloud, and cited Datos IO in both reports as one of the selected sample vendors in the market. Furthermore, in the 2017 Hype Cycle for Storage Technologies, Gartner states that cloud data backup is one of two emerging technologies that “are showing fast movement on the Hype Cycle and increased adoption.”
 
In both Hype Cycle reports, Gartner states “Cloud data backup refers to policy-based backup tools that can back up and restore production data generated natively in the cloud. Such data could be generated by software as a service application or by infrastructure as a service compute services. Backup copies can be stored in the same or a different cloud location, and various restore/recovery options should be offered in terms of restore granularity and recovery location.”
 
“We are excited with Gartner’s inclusion of Datos IO for the second straight year in two different Hype Cycles, and we are squarely focused on owning and dominating the fast-growing cloud data backup market with our flagship product Datos IO RecoverX,” said Tarun Thakur, CEO and co-founder of Datos IO. “Tiering long-term retention data to the cloud via an on-premises appliance is not cloud data backup. We believe Gartner’s recognition of Cloud Data Backup on the Hype Cycle validates the uniqueness of this market opportunity and the critical need for cloud-native backup and recovery solutions to protect next generation applications and manage all data generated on-premises or in the cloud.”
 
Datos IO RecoverX is a cloud native data management platform built upon the cloud-native principle of elastic compute services as the control plane layer for data movement that is free of any form of media servers, utilizing industry-first semantic deduplication to drive cost savings on cloud backup storage, and most importantly being truly application-aware to enable rich data management services such as search and in-place analytics on backup data. With the recent RecoverX 2.0 “Hercules” release, Datos IO now supports enterprise applications deployed on new data sources including Hadoop-based filesystem repositories and physical or virtualized Microsoft SQL Server, and adds significant scale and platform enhancements for large scale (100+ nodes) application deployments on non-relational and distributed databases such as MongoDB and Cassandra.
 
“The cloud has become a pillar of every organization's infrastructure and Datos IO has become a trusted solution for enterprises everywhere with a differentiated solution that delivers data protection @ cloud scale,” said Ned Engelke, CTO, EVOTEK. “Datos IO is an ideal solution for any organization that needs to protect next generation applications whether they are running on-premises or in the public cloud.”
 
This exciting announcement adds to many other milestones for Datos IO in 2017 including adding NetApp and Cisco as strategic investors, obtaining Fortune 500 customers such as the world’s leading e-commerce retailer and the world’s leading wireless telecommunication provider, doubling its customer base in the first two quarters of the current fiscal year, launching their RecoverX v2.0 product, and announcing partnerships and joint solutions with NetApp, Cisco, and VMware. Most recently, Datos IO launched its Rebellion Partner Program that leads to channel partners and resellers benefits such as simple deal registration, attractive discounts, marketing support including targeted market development funds (MDF) and a dedicated partner portal; a complete one-stop shop for sales, marketing, product and technical resources including product collateral, pricing, case studies and solution overviews.