Data Management and Storage Solutions Provider Iguaz.io Raises $15M in Series A Funding

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Iguaz.io, a provider of data management and storage solutions for Big Data, IoT and cloud applications, has announced a $15 million Series A funding round. Led by Magma Venture Partners, the funding includes additional investments from JVP and large strategic investors.

Over the past two decades, the Iguaz.io team has enabled enterprise customers to evolve their data centers. The data management and storage solutions provider has also helped leading cloud operators design and deploy their hyper-scale data centers. Iguaz.io will use the funding to continue growing its team of experts in the spaces of Big Data, storage, security and networking.

According to IDC, the market for Big Data will surpass $41 billion by 2018, growing six times faster than the overall IT market. “Big Data and cloud computing are creating tectonic shifts in the market, setting the stage for market disruptions,” said Yahal Zilka, Managing Partner at Magma Venture Partners. “The iguaz.io team, with its innovative approach, is well positioned to disrupt the market.”

big-data-iguaz-io“Enterprise customers have been sharing their pain points and challenges with us as they try to adopt Big Data and predictive analytics in their business,” said Asaf Somekh, co-founder and CEO of iguaz.io. “We designed our solution from the ground up to address these challenges and allow our customers to focus on their applications and business.”

Based in Herzliya Israel, iguaz.io was founded by industry experts and innovators and is backed by top investors including Magma Venture Partners, Jerusalem Venture Partners and large strategic investors.

“The IT industry is undergoing major shifts with the spread of cloud technologies on the one hand and new data consumption requirements on the other,” said Yaron Haviv, co-founder and CTO of iguaz.io. “We’re leveraging state-of-the-art hardware with our novel software architecture enabling customers to take a leap forward in their data-driven businesses.”

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