Digital transformation driving wide-scale Hadoop adoption

Digital transformation driving wide-scale Hadoop adoption

The global Hadoop market has witnessed skyrocketing adoption in the recent years and is expected to reach US $84.6 billion in revenue by 2021, equaling a stellar compound annual growth rate of 63.4 percent between 2016 and 2021, according to an Allied Market Research report.

In a recent study conducted by Syncsort, some 271 IT executives across a variety of industries were asked how they are deploying Hadoop and their expectations in terms of benefits. Their key findings include:

While Hadoop is used across a multitude of use cases, nearly two-thirds of the respondents (62 percent) in the Syncsort study cite offloading data warehouse capacity and cost reductions as their prime motives. Leveraging Hadoop as a means to accomplish better and faster analytics is the rationale for 49.4 percent of all respondents. While 49.1 percent cite implementing a cost effective storage/data archive strategy as their goal, another 33.8 percent quote replacing their existing data warehouse investments as a major priority.

Compared to traditional data analysis tools such as relational database management system (RDBMS), Hadoop is seen to be more cost effective and efficient. Research suggests that the total cost of ownership (TCO) is estimated to be at around US$1,000 per terabyte — one-fifth to one-twentieth the cost of other data management technologies, according to Cloudera.

Beyond offloading data warehouse capacity and yielding cost savings, advanced users are increasingly interested in utilizing Hadoop in a more strategic fashion, aiming to convert raw data into insights.

Six out of ten respondents (62 percent) are interested in using Hadoop for advanced/predictive analytics. While 57 percent of respondents consider utilizing Hadoop for data discovery and visualization, another 53 percent want to leverage it for ETL. 46.7 percent deploy Hadoop to gain operational insights, and 43 percent use it for real-time analytics.

Though Hadoop was predominantly operated on-premise, cloud-based deployments are gaining traction, and organizations are increasingly comfortable with utilizing both. While a slight majority (51 percent) sticks solely to an on-premise deployment, nearly a third (30.6 percent) operates in a hybrid scenario. In roughly one out of five deployments (18.3 percent), organizations already take advantage of a pure cloud play.

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