December 28, 2015
If you think about just how much data is on the web right now, it’s not surprising that Big Data analytics have become the fastest growing segment of the IT industry. After all, they’re designed to unscramble the mess of online data us laypeople have created and rearrange it into something nice, neat, and understandable.
Naturally, as the year ends, it’s time to reflect on this year’s major players—startups that have continuously flooded news outlets with announcements of funding rounds, prestigious awards, and just plain awesome technology. That being said, here are five Big Data analytics startups that have genuinely impressed us in 2015:
It’s safe to say that 2015 was SQream’s best year yet. This past year, SQream won five major awards (Red Herring Global 100, Red Herring Asia 100, Best in Biz, Stevie, and Tech Trailblazers Regional), launched its second product (GenomeStack), and raised $7.4 million in Series B funding.
In 2010, SQream Technologies introduced its GPU-based technology that, through massive parallel computing, boosts analytics performance up to 100x faster than its competitors—meaning Teradata, IBM Netezza, Oracle Exadata, and Amazon Redshift on the Cloud really ought to watch out. SQream is boldly taking on the Goliaths; they’re able to squeeze its high-functioning software capabilities into just a standard 2U server, which is a fraction of the size of its competitors’ chunky and very costly hardware products. It’s no wonder they garnered five prestigious awards this year.
Iguaz.io launched just a year ago in December 2014 and already acquired $15 million in Series A funding—a large sum of money for such a young company that, by the way, is still hiding in stealth-mode. Nevertheless, there’s been a lot of buzz recently surrounding the twelve month old company and their plans to ease and simplify typical challenges enterprises face when integrating predictive analytics into their business models.
Its founders, who are all former executives from various well-known storage, cloud computing, and analytics companies, add convincing credibility to their assertions that Iguaz.io is “positioned to disrupt the big data market” in 2016. What’s more, because one of its founders, Yaron Segev, was the former co-founder and CEO of XtremIO, a startup that in 2012 EMC acquired for $430 million, we can assume that his strong management will result in Iguaz.io being equally, if not more, successful and ground-breaking.
In April, Domo finally came out of stealth-mode after five years of secrets, rumors, and hushed whispers. At last, we know what Domo isn’t—just another business management tool. Rather, we understand that Domo is an intelligent dashboard that displays and analyzes various key business metrics in real-time. Its ability to not only aggregate information that’s typically scattered across different sources (like spreadsheets, social media, or databases) into a single dashboard, but to then also continuously refresh the results, is absolutely transformative for those involved in business operations.
But their public launch wasn’t even the kicker this year; Domo also announced that it received $200 million in Series D funding this past April. Sure, Domo’s been around since 2010, but that’s still an absurdly large amount of funding for a company that’s just publically entered the market.
In October 2014, Interana exited stealth-mode and within just a few months accomplished more than most startups do in years. By early 2015, Interana won two awards (CRN Big Data 100, 2015 Women of Influence for CEO Ann Stimmler Johnson), secured $20 million in Series B funding, and achieved seven-digit revenues. Clearly, it’s been a good year for them.
Interana is a behavior analytics solution that translates customer event data into actionable analysis; its purpose is to enable businesses, namely non-technical managers, to make informed decisions about customer engagement, retention, and acquisition.
Recently, Interana announced that they’ve onboarded Tinder, SurveyMonkey, Imgur, and more—but most interestingly, they’re being commissioned by Microsoft to analyze behavior information on Bing, even though Microsoft has several analytics platforms of its own. If that doesn’t scream success, I’m not sure what does.
This past month, Roundforest was named one of 16 Israeli Startups Ready To Take On 2016 for having successfully completed their first designated consumer tool (Comparaboo). If this platform, that uses data analysis and predictive analytics to help consumers discover relevant products, is indicative of what Roundforest can accomplish, then it’s only fair to assume that their next batch of tools will be just as impressive – especially since Roundforest is already reaching more than 10 million users a month.
Roundforest is a data-driven e-commerce startup that optimizes every step of the consumer’s purchase path. They’ve developed a proprietary automated engine that removes the guesswork out of performance optimization. Its founders previously worked at Google and Intel and are determined to apply their background in machine learning and data analysis to help consumers make better shopping decisions.
Can you think of any other? If so, please leave your response below!
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