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A new approach to data compression |
| Compression is as old as personal computing, but it is used today mainly for backup and second tier storage. Many attempts to address the
challenges of primary storage compression have failed because of degraded performance and lack of transparency. |
Compression the Storwize way |
| Because compression of primary storage data has been difficult to address, most efforts in recent years have been directed at compression
during remote transport. This type of compression saves bandwidth but does nothing to reduce stored data volumes. Attempts to compress primary
storage data interfered with user workflow and required running software on both storage and end-user devices. These solutions were based on
cumbersome sequential access (decompress, update, recompress), work at file-level granularity, or both. They also wasted client resources and
introduced unacceptable latencies. Storwize technology processes in real-time only the data required for a particular user or application,
and fully supports every type of file access. The Storwize method offloads and centralizes compression in a powerful, dedicated appliance,
eliminating performance degradation and in most cases actually improving it. |
| Full transparency for |
| Real-time random access to compressed data |
| Storage performance remains the same or improves |
| Complementary solution |
Benefits |
| Storwize believes that in order for a compression solution to be viable it must be transparent to users, applications, Data Bases and
operating systems (both in workflow and in response time) The Storwize Technology provides a revolutionary approach to data storage by enabling existing infrastructure to store three times more data than available on average today. The Storwize solution, at 'wire speed', compresses or decompresses the relevant data blocks as the user requests them. Storwize technology is implemented by real-time data compression, which is transparent to the user and the servers. No end user operation is required and performance is improved, if affected at all. The impact of the high compression ratio on the IT budget and operations is significant: |
| Other Benefits Include: 1. High Compression Ratio Up to 5x 2. Storage Performance Stays the Same or Improves 3. Real Time Random Access to Compressed Data 4. Full Transparent Solution |