Cloudera IPO Highlights The Big Data And Hadoop Opportunity

Jennifer Adams

Last week, Cloudera successfully completed an IPO, raising $259 million of equity capital, including the over-allotment option. Shares were priced at $15 per share and traded up to over $18 per share on the first day of trading, giving investors a 20%+ return.

Cloudera describes itself as a company that “empowers organizations to become data‑driven enterprises in the newly hyperconnected world.” Cloudera, founded in 2008, was the first commercial Hadoop player and is a Leader in Mike Gualtieri and Noel Yuhanna’s The Forrester Wave™: Big Data Hadoop Distributions, Q1 2016.

Last August, Forrester published its first Big Data Management Solutions Forecast, 2016 To 2021 (Global). In our forecast, we highlighted Hadoop as the fastest-growing sector, at a 32.9% CAGR over the 2016 to 2021 period. We estimate that firms will spend nearly $800 million on Hadoop and Hadoop-related services in 2017 and that this will grow to $2.3 billion by 2021.

In its S-1 filing, Cloudera reported revenues of $109 million, $166 million, and $261 million in the years ending January 31, 2015, 2016, and 2017, respectively. This represents 52% year-over-year growth in 2016, accelerating to 57% year-over-year growth in 2017. Cloudera’s customer base is primarily Global 8000 companies, accounting for 73% of revenues.

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Time To Reset Your Knowledge Of Big Data Ecosystems In China

Charlie Dai

At the China Hadoop Summit 2015 in Beijing this past weekend, I talked with various big data players, including large consumers of big data China Unicom, Baidu.com, JD.com, and Ctrip.com; Hadoop platform solution providers Hortonworks, RedHadoop, BeagleData, and Transwarp; infrastructure software vendors like Sequotia.com; and Agile BI software vendors like Yonghong Tech.

The summit was well-attended — organizers planned for 1,000 attendees and double that number attended — and from the presentations and conversations it’s clear that big data ecosystems are making substantial progress. Here are some of my key takeaways:

  • Telcos are focusing on optimizing internal operations with big data.Take China Unicom, one of China’s three major telcos, for example. China Unicom has completed a comprehensive business scenario analysis of related data across each segment of internal business operations, including business and operations support systems, Internet data centers, and networks (fixed, mobile, and broadband). It has built a Hadoop-based big data platform to process trillions of mobile access records every day within the mobile network to provide practical guidelines and progress monitoring on the construction of base stations.
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