
Industry News Details
Top 6 Hadoop Vendors Providing Big Data Solutions in Open Data Platforms Posted on : Dec 30 - 2015
With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. The open source framework hadoop is somewhat immature and big data analytics companies are now eyeing on Hadoop vendors- a growing community that delivers robust capabilities, tools and innovations for improvised commercial hadoop big data solutions. Here are top 6 big data analytics vendors that are serving Hadoop needs of various big data companies by providing commercial support.
Marcus Collins, a Research Analyst at Gartner said “Big data analytics and the Apache Hadoop open source project are rapidly emerging as the preferred Big Data solutions to address business and technology trends that are disrupting traditional data management and processing.”
Allied Market Research predicts that the “Hadoop-as-a-Service” market will grow to $50.2 billion by 2020. The Global Hadoop Market is anticipated to reach $8.74 billion by 2016, growing at a CAGR of 55.63 % from 2012–2016. Wikibon’s latest market analysis states that- spending on Hadoop software and subscriptions accounted for less than 1% of $27.4 billion or approximately $187 million in 2014 in overall Big Data spending. Wikibon predicts that the spending on Hadoop software and subscriptions will increase to approximately $677 million by the end of 2017, with overall big data market anticipated to reach the $50 billion mark.
Big Data and Hadoop are on the verge of revolutionizing enterprise data management architectures. Cloud and enterprise vendors are competing to venture a claim in the big data ‘gold-rush market’ with pure plays of several top Hadoop Vendors. Apache Hadoop is an open source big data technology with HDFS, Hadoop Common, Hadoop MapReduce and Hadoop YARN as the core components .However, without the packaged solutions and support of commercial Hadoop vendors, Hadoop distributions can just go unnoticed. View more