Avamar - Setting New Standards

Avamar:

Avamar Technologies, Inc. is leading a new wave of innovative solutions that deliver increased value for secondary storage. Founded in Irvine, California, in 1999, Avamar provides enterprises with data management solutions to control the information explosion. Avamar Axion is a scalable solution for enterprise data protection that provides online accessibility, while efficiently storing and protecting valuable information assets.

Axion is the most efficient software available for enterprise data protection. Axion uses a process called commonality factoring to eliminate redundant data within systems, across systems and over time, dramatically reducing secondary storage requirements. Axion software is certified on industry standard hardware and is included in Avamar's pre-packaged hardware and software appliances.

Axion provides policy-based scheduling, intuitive administration, and secure authentication with its network-ready, centralized management application. With its intelligent client agents, Axion filters out ineffective redundancy before sending data over networks, making it possible to protect distributed systems even over congested LANs or WANs.

Through a comprehensive set of features and functionality, Axion addresses the needs of today's data driven enterprise, combining online access, storage and network efficiency, and ease of management with the lowest total cost of ownership in the industry."

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If you have more than a terabyte (TB) of data and are looking for a complete disk-based backup and restore solution, check out Avamar. These guys are setting new standards to assist in the Information Lifecycle Management (ILM) game. ILM encompasses a set of technologies and processes that enable organizations to manage the massive amounts of corporate information they generate from creation to disposal, according to the information's changing value over time. Economic, operational and legal factors, including the Sarbanes-Oxley Act, are driving enterprise IT departments to adopt ILM approaches.