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Adaptive Data Reduction
Unstructured data is growing explosively in most organizations. File sizes are increasing, applications are becoming more graphics intensive, users generate loads of new content, and compliance requirements are becoming more and more stringent. In environments like these, containing the acquisition and operational costs for storage has become an uphill battle.
PowerFile’s Adaptive Data Reduction (ADR) feature allows you to store more with less. ADR is designed specifically to compress raw, unstructured file data – making it perfectly suited for fixed content and archive data sets. ADR is an optional add-on to any of PowerFile’s Archive Appliances and allows customers to further leverage our industry-leading density and energy efficiency.
Key Features
- Inline File Analysis – Analyzes file and only compresses files that will yield significant space savings
- Active CPU Utilization Monitoring – leverages excess processor overhead to ensure no impact on performance
- Client-Based Decompression Utility – guarantees portability of compressed discs
Sample Reduction Ratios By File Type
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Bitmap
(.bmp)
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CAD
(.dxf)
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Text
(.txt)
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MS Word
(.doc)
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MS PowerPoint
(.ppt)
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MS Excel
(.xls)
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Adobe
(.pdf)
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7.3x
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4.8x
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4.1x
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3x
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2x
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1.7x
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1.3x
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NOTE: The Dedupe Fallacy
Today’s deduplication vendors proudly claim a 10x to 30x reduction ratio and all the acquisition and operational cost savings that go along with it. But what they don’t tell you is that those types of reduction rates can only be achieved on backup data, where near-incidental data sets are being stored on a daily and/or weekly basis. In fact, the leading deduplication vendor claims only a 3x to 5x reduction for primary and/or archive data.
ADR achieves similar reduction ratios without introducing the risk and performance barriers of block level deduplication technologies.
Related Links:
Adaptive Data Reduction Product Page
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