#Asia Israeli Alooma raises US$11.2M to ease Big Data analysis

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Whereas most startups start with a concept and build a company around it, Alooma’s founders performed a market survey to understand Big Data’s pressing problems

Alooma

Big Data management whizzes Alooma announced on Monday the close of their Series A funding round with US$11.2 million in new financing. Leading the round were Sequoia Capital and Lightspeed Venture Partners.

The company was co-founded in 2013 by CEO Yoni Broyde, CTO Yair Weinberger, and VP of R&D Rami Amar. All three are reported to have started their careers in the IDF’s elite technology research and development program Talpiot.

Alooma’s cloud-based service allows their clients to organise their data sources better, pulling in information from multiple origins. Their service relies heavily on Amazon Redshift, using it as the core of their operations where users can upload all of their data into. Alooma lets users draw from an expansive set of 24 data sources including iOS, Azure, Google Analytics, MySQL, Salesforce, and others.

One of the elements that makes Alooma’s story unique is how they approached entering into their venture. Whereas most startups will start with a concept and build a company around it, the Alooma founders decided to perform a drawn out market survey to seek out the pressing problems in the market.

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According to Broyde, what they found was surprising. He says that the central problem is not the way that the information is presented or analysed, but rather “moving data from one place to another to bring data together in one place.”

The key advantage that Alooma appears to be bringing to the table here is a simplifying of the busy work that normally goes into running and organising a Big Data operation. Instead of clients having to figure out how to configure the pipes and make sure that the spigot of data is able to flow, Alooma comes in as the plumber in the background and just makes it all work, letting their users focus on getting the most out of their data.

Perhaps the one downside here is that everything is centered around Amazon’s Redshift; while it’s a very popular service, this may feel limiting to some. With that concern aside, their architecture allows for a very high level of integrations that should be appealing for most users.

Moving forward from this round, Alooma is looking to grow their team in Tel Aviv, posting positions to boost the production of their product. As a part of their funding, the company will reportedly receive help from Ariel Maislos’ Stratoscale to promote the product and enter the US market.

The article Israeli Alooma raises US$11.2M to ease Big Data analysis first appeared on Geektime.

Image Credit: Alooma

The post Israeli Alooma raises US$11.2M to ease Big Data analysis appeared first on e27.

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