The Roll Down Hill Effect Of Primary Storage Deduplication

The adoption rate of deduplication in primary storage has been relatively low so far in primary storage. There are concerns on user's minds about performance impact, data integrity and how much capacity savings they will see. Clearly each of these concerns need to be addressed. When it comes to capacity savings though, there is a key component of capacity savings that might get overlooked, the roll down hill effect of proper primary storage deduplication.

George Crump, President, Storage Switzerland

May 28, 2010

2 Min Read
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The adoption rate of deduplication in primary storage has been relatively low so far in primary storage. There are concerns on user's minds about performance impact, data integrity and how much capacity savings they will see. Clearly each of these concerns need to be addressed. When it comes to capacity savings though, there is a key component of capacity savings that might get overlooked, the roll down hill effect of proper primary storage deduplication.Thus far the big winner in deduplication has been the backup process. If you are doing weekly full backups then there is plenty of opportunity for redundant data and you can post some incredible efficiency gains. This is not the case, or at least should not be, in primary storage. With the exception of virtualization images its unlikely that you will be able to make double digit storage efficiency gains thanks to deduplication alone. If you see typical efficiency claims of 12X in backup deduplication, expect maybe 5X gain in primary storage deduplication.

If you stop there though your missing an important part of the picture, the roll down hill effect of primary storage deduplication. If, and that is an important if, your primary storage deduplication technology can keep the data in an optimized state throughout its entire life cycle then you can see tremendous residual value in primary storage deduplication. With primary storage deduplication snapshots, replication, clones, extra copies of data (just in case copies) all now come at near zero capacity cost. For example you can perform dumps of your database every ten minutes if you want to, deduplication will curtail the capacity growth that would normally create.

The key issue is if and when primary storage deduplication will need to "re-inflate" to a non-optimized data state. Optimization throughout the data lifecycle and the tiers of storage it is on, is critical for making deduplication make sense in primary storage. In fairness there may be a time you want to re-inflate on purpose and remove dependency on the deduplication hash table. That is going to depend on how much you trust your deduplication technology to maintain its meta-data and provide rich data integrity features.

Deduplication technology tries to fix the capacity explosion problem faced by most data centers. Where deduplication is being successful right now, in backup repositories, is trying to fix that problem after it has already occurred. Primary storage deduplication that maintains data in its optimized state fixes the problem before it becomes a problem. If properly implemented primary storage deduplication could have significant reduction on the storage demands of your data center.

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George Crump is lead analyst of Storage Switzerland, an IT analyst firm focused on the storage and virtualization segments. Find Storage Switzerland's disclosure statement here.

About the Author

George Crump

President, Storage Switzerland

George Crump is president and founder of Storage Switzerland, an IT analyst firm focused on the storage and virtualization segments. With 25 years of experience designing storage solutions for datacenters across the US, he has seen the birth of such technologies as RAID, NAS, and SAN. Prior to founding Storage Switzerland, he was CTO at one the nation’s largest storage integrators, where he was in charge of technology testing, integration, and product selection. George is responsible for the storage blog on InformationWeek's website and is a regular contributor to publications such as Byte and Switch, SearchStorage, eWeek, SearchServerVirtualizaiton, and SearchDataBackup.

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