UPDATED 10:20 EDT / AUGUST 09 2012

Garantia Debuts In-Memory NoSQL Service

Garantia Data is an emerging startup that is among the 11 finalists of this week’s GigaOM Structure LaunchPad competition, and it brings a rather interesting new cloud service to the table.

Garantia’s product targets Memcached and Redis, two of the most popular open-source memory caching systems out there. They’re used by Facebook, Twitter and many other companies to support NoSQL environments, and according to Garantia they also each have their individual faults: Memecached is not as reliable as Redis, and the latter is rather hard to scale. The young company’s offering promises to solve these issues with its ‘dynamic-auto-sharding technology,’ which allows users to create large-scale memory pools that help address these two main challenges.

Garantia is pitching a couple of improvements that can be realized using its software: one is a reduction in labor spent on maintenance, and the second is the fact that being able to accommodate much bigger datasets (think petabytes-size) makes it easier to analyze them.

“We have leveraged sophisticated technology to solve real industry pains,” said Ofer Bengal, CEO of Garantia Data. “Our new in-memory NoSQL cloud reinvents the way people use Memcached and Redis. We offer our customers infinite, continuous and fully automated scalability in a completely hassle-free cloud service. Memcached users enjoy full reliability with absolutely no data loss. Redis users enjoy infinite-scalability without compromising on any of the Redis commands.”

At these early stages the startup is offering its solution for free, although that is bound to change if they manage to build up some momentum.

In-memory analytics is a trend that’s growing thanks to not only smaller players such as Garantia, but also the bigger vendors that identified an opportunity in this field. SAP and its HANA platform are a prime example: just yesterday the business intelligence firm introduced new services for the banking industry that are based on the appliance.


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