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Don't Expect Hadoop Growth to Slow Down Any Time Soon

Hadoop growth doesn’t appear to be faltering, even as Spark shows an uptick in use. In fact, Hadoop’s growth looks to remain strong.

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In technology, it’s reasonable to assume that people are attracted to the new item, the new product featuring the latest advances. Whenever a new iPhone is introduced, millions will line up to buy it the day it’s released. New video game consoles grab headlines and people’s attention from the moment they’re announced. A new innovative cloud service gets its name out there in record time in part because the idea is so fresh. So with this trend firmly in mind, many people expected that with the recent rise and growth in popularity of Apache Spark, similar big data tools and platforms like Hadoop would eventually suffer a dip in use. While under normal circumstances such a prediction would likely come true, Hadoop growth doesn’t appear to be faltering, even as Spark shows an uptick in use. In fact, Hadoop’s growth looks to remain strong throughout the rest of the current decade.

The positive outlook for Hadoop’s future growth comes from a variety of sources. One is a study conducted by Allied Market Research. In the study, researchers estimated that the Hadoop market would continue to grow at a compound annual growth rate (CAGR) of 63.4 percent until the year 2021. The same study predicted that the Hadoop market would eventually reach nearly $85 billion in the time, an impressive feat no matter how you look at it. But Allied Market Research isn’t the only organization predicting years of continued success for Hadoop. Research and Markets found similar results in their recent study, and while the numbers aren’t quite as rosy as the first example, researchers still estimated that the global Hadoop market would increase at a nearly 60 percent CAGR through 2020. These two aren’t alone in finding that demand for Hadoop remains strong and Apache Spark’s presence doesn’t mean Hadoop will suffer for it.

With so much growth ahead for Hadoop, one might honestly wonder why. Certain factors definitely play a big role in contributing to Hadoop’s continued growth. For one thing, more enterprises are demanding Hadoop as a tool. While Hadoop might not necessarily be something new, only recently have businesses caught on about the advantages it provides. Hadoop adoption has proven especially strong among industries such as government, IT, and the financial sector. Trade and transportation are also becoming more interested in Hadoop. A lot of Hadoop growth is also driven by global expansion. Regions like Europe are quickly finding news ways to use big data, and that’s leading to more European businesses wanting to use Hadoop.


Put simply, the services provided by Hadoop are in high demand across the board, and much of this stems from organizations utilizing big data now more than ever before. Whether it’s a case of needing to analyze streams of unstructured data or efficiently managing AWS Spot instances, big data has become more versatile and useful for businesses of all types. With more organizations needing to gather and analyze complex data, they’re turning to big data tools like Hadoop to accomplish the task. This allows them to optimize their resource output while taking advantage of Hadoop’s impressive scalability and flexibility.

For now, it appears that Hadoop’s popularity won’t be fading away, but if its growth does begin to decay, what could be the cause? Besides the aforementioned Spark slowly being used more and more, other factors could cause a dip in Hadoop growth. For one thing, a general lack of skill needed to use Hadoop effectively is something organizations have struggled with for a while now. The big data talent gap is real, and businesses have tried to bridge it despite the low number of people with the right skills. Security issues have also been a concern for companies using Hadoop, particularly since the data involved in Hadoop is usually vital and even sensitive. Design faults within Hadoop may also contribute to its decline one day, especially since it has trouble with real time analytics. These factors, however, are only a minor issue for now. For now, Hadoop will continue to grow at a rapid pace, and there appears to be no stopping it.


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Topics:
hadoop ,big data

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