Data Management

Hadoop at 10

Actian Corporation

April 27, 2016

blurry screens showing numbers and data

Wow – 10 years of Hadoop, what a ride. Actian has been working in the Hadoop ecosystem almost since the beginning, starting in 2007. Actian started working with Hortonworks the moment they launched in 2011.

As a pioneer in this space, we have witnessed the whole “boom”. And while Hadoop is continuing to show healthy growth, and becoming a vital platform for business-critical analytic workloads, the customer mindset is clearly moving beyond the programmer-led early-adopter stage to an early-majority enterprise adoption stage.

With this inevitable maturing of the Hadoop marketplace, we see some painful “shake-out” looming, as these new customers demand the enterprise-class capabilities they have rightly come to expect. And not only will product expectations be increasingly enterprise-class, but vendors in the Hadoop space will be increasingly scrutinized for their own viability, as a proven track record of business success will turn out to be just as important as “cool products”.

This will make 2016 a very interesting year – to borrow a phrase from Warren Buffet, it is only when the tide goes out that you see who is swimming without a suit. Well, this year the tide of easy money and easy product promises is going out, and we may quickly learn who is “exposed”.

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About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.