2016 marks the tenth birthday of the big daddy of big data -Apache Hadoop. The proud dad Doug Cutting wrote an exclusive blog celebrating 10th birthday of Hadoop which was named after his son’s tiny toy elephant. Hadoop ignited the big data craze 10 years back and it continues to be the show of the star in the data century.
This is a prediction made in the recent report by the Allied Market Research team on “"World Hadoop Market - Opportunities and Forecasts 2014-2021". Due to the huge adoption of big data solutions, Hadoop is looking at the fastest CAGR in terms of enterprise wide adoption.
Syncsort, a global leader in mainframe software and big data announced the results for its second Hadoop annual survey which identified the big data trends to watch out for in 2016- increased Spark adoption, innovation of Hadoop in social media, how companies continue to move expensive workloads to Hadoop and more.
Hortonworks was mentioned as a leader in the January 2016 report entitled The Forrester Wave™: Big Data Hadoop Distributions, Q1 2016.Hortonworks was named a leader as it promises a big reward on inclusive, broad community innovation and 100% open source distribution.
Qubole raised $30 million funding from equity giant IVP and 3 existing backers to expand its on-demand hadoop implementations. What distinguishes Qubole data service from others is it’s easy to use interface that covers the complexity of other analytics frameworks and helps companies make use of the capabilities more effectively.
Splice Machine aims to provide a scale-out RDBMS that can cater to the exponential big data growth. By combining RDBMS with Hadoop and Spark it claims that it can increase the run-tine speed over traditional RDBMS at 1/4th the cost. It secured a total of $31m funding for splicing Hadoop and RDBMS.
WANdisco Fusion’s easy to deploy architecture for Hadoop has made it the go to vendor for two major financial services firms in the US. WANdisco avoid Hadoop downtime, data loss and Hadoop vendor lock-in. WANdisco Fusion can be implemented across mixed storage environments as well.
Manthan has recently revamped their long standing customer analytics tool Customer360. This tool has a wide array of descriptive, predictive and prescriptive analytical capabilities and its algorithms are optimized for Apache Spark which give marketers a much needed fast data analysis tool.
For the complete list of big data companies and their salaries- CLICK HERE
Hadoop is useful for scaling up when it comes to big data analysis and processing. But enterprises are finding it very difficult to get the same results out of Hadoop for BI as Hadoop has a lot of issues in that section. AtScale, a startup that specializes on BI on Hadoop, has partnered with Tableau (Business Intelligence and Analytics Specialist) to solve this issue of BI on Hadoop.
The California based company, which works with Apache Hadoop to build big data platforms for customers to manage their data, is all set for their Global Partners Program to up the level for their network of 15000 partners. This program will help the partners get on a new level with the ISV and IHV technology, become certified and create better value for their customers.
The global Hadoop market is expected to grow at CAGR 53% in the next 4 years. Companies are fast adopting Hadoop based solutions, as SaaS (Software as a Service). As usual the dilemma that companies are facing is the dearth of qualified talent to take on these projects.
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