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Cloud generates new interest in data compression

By Alex Handy

December 8, 2009 — Clouds don't always bring rain, but one company is hoping to compress the rain of data when it happens. RainStor released version 3.5 of its database archiving system today.

John Bantleman, CEO of RainStor, said that version 3.5 marks his company's new push into enterprise IT. RainStor has also just opened its first North American offices to coincide with this release. The new push for cloud adoption, he said, is giving database compression a useful new application online.

Bantleman said that a major use case for RainStor is to help crunch down legacy applications built on databases so that they can be moved to smaller machines. With the compression rates available from RainStor, a major but aging system can be moved to a virtualized machine while cutting the costs for storage associated with that machine.

Ramon Chen, vice president of product management at RainStor, said that RainStor 3.5 is cloud agnostic, and it can save users some of their costs when dealing with pay-per-gigabyte storage systems. Chen claimed compression could yield a 40 to 60 times the space savings on data stored in the RainStor system.

“We accept the data in a very simple comma-delineated format,” said Chen when describing how to export information into RainStor systems. “We make it smaller while still making it query-able. We de-dupe the data.”

That does come with a caveat, however: “We only allow complex SQL queries or business objects to run directly against data. We have no ability to run stored procedures,” said Chen.

RainStor is available in Amazon's S3 and EC2 cloud computing services, and Chen said that future offerings from EMC may also include the system. For now, however, RainStor is focused on working with OEM partners, such as Informatica. RainStor is available in an embedded form from those partners.

Bantleman said using RainStor on a database of around 100TB would cost around US$100,000.

Related Search Term(s): cloud computing, RainStor

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