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The 2018 Tech Innovator Awards

The ability to help solution providers differentiate themselves and grow their businesses is the crowning achievement of CRN’s Tech Innovator winners and finalists.

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Data Management

Winner:

Veeam Availability Suite 9.5

For organizations that are seeking an autonomous model for data management, Veeam’s Availability Suite 9.5 ensures data availability regardless of where it’s residing, along with keeping IT apprised of where data is located and ensuring that data management meets compliance requirements. Meanwhile, Veeam’s new Availability Orchestrator capability provides improved orchestration of disaster recovery strategy through features such as automated documentation and testing, and offers easy reporting on crucial metrics. Veeam’s solutions ultimately help to evolve data management to behavior-based practices, rather than relying on policies.

Finalists:

Couchbase Data Platform 5.5

Aimed at aiding in the shift from legacy IT investments, Couchbase’s Data Platform 5.5 provides simplified management of applications along with greater agility in operations. That’s thanks to new additions such as the extension of SQL to support JSON data natively via N1QL queries.

IBM Spectrum Virtualize For Public Cloud

Bridging the gap between storage infrastructures and the public cloud, IBM Spectrum Virtualize for Public Cloud offers consistent storage management along with disaster recovery and application migration—as well as optimization for underlying IBM Public Cloud storage through capabilities including automated data placement.

Nutanix Era

Nutanix Era provides automated database provisioning and life-cycle management, extending the company’s Enterprise Cloud OS software stack beyond core Infrastructure-as-a-Service capabilities for private cloud environments to platform-layer services. Nutanix Era ultimately promises to bring one-click simplicity to database operations.

Rubrik Polaris Radar

Targeted at enabling faster recovery from security incidents, Rubrik’s Polaris Radar application brings together detection (aided by machine learning) with detailed analysis of impacts and a simplified approach to restores—all in a highly intuitive user interface.

 
 
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