Apache Hadoop is non-relational data storage solution, which uses simple programming models to process large date sets across clusters of computers. The platform has scalability capabilities from single servers to thousands of machines, and includes four modules—Hadoop Common, Hadoop Distributed File System (HDFS™), Hadoop YARN, and Hadoop MapReduce.
Hadoop Technology Highlights:
- Major differentiating factor is the flexibility that Hadoop provides.
- It can perform analysis and other data processing tasks over unstructured data and semi-structured data just as well as it can handle structured data.
- Allows SMEs to develop proprietary software for big data solutions at a much lower cost than major big data vendors.
The Hadoop Market today is still developing but growing at a tremendous pace, with a CAGR of 42.04 percent from 2014-2018. With the changing business scenarios and competitive landscape across various industries, organizations are showing high interest in employing big data solutions to differentiate themselves. We can also expect organizations to completely replace their existing relational databases to make way for NoSQL databases. Constant technological advancements, new releases and upgrades in the Hadoop technology market are further attracting potential end-users.
While these are all significant for the growth of the market, TechNavio analysts have whittled down the major trends in the Global Hadoop Market:
Increasing Interest in NoSQL from Developers
The database industry has long been dominated by relational databases that were capable of meeting end-user requirements. However, relational databases can’t cope with the sheer volume of unstructured data required by organizations in a modern business environment. NoSQL databases such as Apache Hadoop, Cassandra, and Couchbase servers are able to meet the requirement for big data solutions, and offer a much more flexible platform for developers. The scalability and complex processing power of NoSQL models offer major benefits for enterprises. Additionally, they are schemaless, making it easier to constantly and rapidly add new datasets.
Increasing Market Consolidation
In September 2013, TechNavio published a blog listing the Top 14 Hadoop Technology Companies. When TechNavio analysts revisited the market, they found that the vendor landscape had shifted, now yielding 16 Top Hadoop Technology Companies.
This is due to large enterprise computing vendors acquiring companies to equip themselves with the latest big data technologies, expand their customer base and tap the huge potential that lies in the SME segment. For example, IBM has acquired a slew of analytics companies in recent years, including DemandTec Inc., Varicent Software, Tealeaf Technology Inc., Kenexa Corp., and Vivisimo in 2012 and StoredIQ Inc., Star Analytics Inc., and The Now Factory in 2013.,
Increasing Demand for Hadoop Solutions from SMEs
Similar to their larger counterparts, small and medium sized enterprises are also collecting huge amounts of data in the form of social media data, customer data, enterprise applications, and financial data. However, which effective storage soklutions are certainly important, they are not enough. SMEs need to be able to analyse data in order to derive actionable insights to fasion customer-driven marketing strategies in order to compete in the intense marketplace.
Hadoop-based solutions are cost-effective and enable companies to perform analytics activities, making it a preference for SMEs across the globe.
For more insights, view our Global Hadoop Market 2014-2018 report.
