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DateraStorage

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Optimizing speed, latency, throughput and response time requires advanced analytics and applied machine learning. Only Datera has it. Nic Bellinger, Chief Architect & Co-founder at Datera explains how it's done.
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Scale out storage offers better scalability. With scale out storage, companies blend hardware and software to offer better storage management and more flexibility with less physical space.
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The DaaS cloud computing model made data easily accessible through a cloud-based platform. It allows you to access critical business data in an existing datacenter. Data services for hybrid cloud gave companies even more flexibility in how they house and manage data in private and public spaces.
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Data responsiveness is a key to a high-performance software-defined data center. Automation enables continuous operations and massive scaling. Machine learning provides system optimization. And data center awareness enables future-proof extensibility to adopt new technologies on-the-fly.
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A move to cloud data infrastructure typically requires re-examining current system management tools. These tools can differ depending on whether using public, private, or hybrid cloud solutions.
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Data sprawl is a big problem for many organizations. Companies of any size are always trying to balance the need for increasing data storage while managing infrastructure costs. Newer technologies such as IoT, AI, video streaming, and virtual reality are driving a massive build-up of data coming soon.
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Datera provides a 100 percent software-based approach that delivers enterprise-class performance and low latency to applications and users with a cloud-ready, dynamic infrastructure designed to scale.
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Datera is the only data services platform that virtualizes L3 network function virtualization (NFV) and data virtualization by policy. This automatically provides secure and scalable data connectivity as a service for every application.