FileTek StorHouse Software With New Feature
Multi-view point-in-time recovery
This is a Press Release edited by StorageNewsletter.com on April 20, 2011 at 3:10 pmFileTek, Inc. announced the availability of StorHouse multi-view point-in-time recovery, a StorHouse feature that enables multiple users to examine StorHouse data at any point in time simultaneously with no interruption to production processing. Users simply access a specific ‘date/time’ view of historical content the same way they retrieve current files. There is never any requirement to restore data from tape to disk prior to access.
Multi-view point-in-time recovery is available and is already being used by FileTek customers to ensure data can always be restored at a point in time before corruption or accidental deletion may have occurred. With traditional backup systems, users may not realize their data is corrupt or missing until it’s too late – after a completed backup sequence recycled the backup media and deleted all backup copies.
"Multi-view point-in-time recovery is the latest example of how FileTek provides unmatched information access and data assurance – all at the lowest cost per petabyte of storage. It is a groundbreaking, data recovery/backup feature for any enterprise storage product of this scope and scale," remarked Gary Szukalski, president of FileTek. "Our revolutionary ‘back-in-time-in-real-time’ approach to viewing/recovering active archive data enables multiple users to browse different historical views of their own directories side-by-side and then determine which copy they want to recover -all without IT intervention. The capability to view files in diverse date/time perspectives is particularly impressive when you consider that StorHouse active archives can contain multiple petabytes of data."
Administrators activate multi-view point-in-time recovery through StorHouse/CCi Release 3.0, the StorHouse web-based interface for managing and administering one or more StorHouse systems regardless of their operating platforms. In addition to multi-view point-in-time recovery, StorHouse/CCi supports a suite of system management, diagnostic, and reporting tools to proactively keep StorHouse environments healthy and robust. Access to StorHouse/CCi is available through any browser-enabled system.
System restoration at any point in time is achievable because StorHouse uses a recoverable relational database to store metadata and other locator information for user files. In fact, database recovery occurs automatically during the point-in-time recovery process. Because of this relational approach to system scalability, StorHouse has no inode constraints, pointers, or operating system-imposed limitations on the volume of information or the number of stored objects the software can support. The benefit is a cost-effective, accessible, performance-oriented solution that can scale to petabytes of data and trillions of files – capacities well beyond the benchmark that defines when most file systems and relational databases begin to fail.
About StorHouse
StorHouse is an active archive repository for storing, accessing, and managing massive amounts of structured and unstructured fixed content, near-line historical and persistent archive data, and their associated backup and disaster recovery requirements. It combines traditional/alternative storage devices and open system processors with storage management, relational database management, and file system interface software components.
No application program interfaces are required. Organizations deploy StorHouse as a digital preservation and active archive solution, database extension system, storage virtualization/internal cloud platform, HSM replacement application, near-line retrieval layer, vehicle for file/media and device replacement, and a native file format backup solution for terabytes to petabytes of data residing on operational systems.
StorHouse operation is user-friendly because of storage and file system virtualization features. These features make StorHouse look like a single, unified network file share (for example, a J: drive) that can store/manage trillions of files and scale to petabytes of data with no impact on performance. End-users and applications access StorHouse the same way they access any network drive or mount point to retrieve current files and uniquely recover historical files at any point in time for comparative views and analysis.