Big Data with Hadoop: It's not easy to equate

March 14, IDC announced the recent release of the "China Hadoop MapReduce Ecosystem Analysis" Report, the report pointed out that in China, Hadoop application is from Internet enterprises, gradually expand to the telecommunications, finance, government, medical these traditional industries. While the current Hadoop scenario is dominated by log storage, query, and unstructured data processing, the sophistication of Hadoop technology and the refinement of ecosystem-related products, including the increasing support of Hadoop for SQL, and the growing support for Hadoop by mainstream business software vendors, Will drive Hadoop into more and more application scenarios.

2013 is the application of large data in China to the landing year, more and more industry users began to pay attention to and start large data-related projects. Among the many technologies in the large data field, the Hadoop/mapreduce ecosystem, which is derived from the open source platform, is the most concerned. Hadoop has been in existence for more than 7 years since 2006. In the 2013, the ecosystem became richer than ever, with the introduction of a Hadoop-related product, whether in the open source world, by commercial software vendors or by hardware vendors. The main reason Hadoop is so focused is that it enables users to handle and analyze large datasets on Low-cost general-purpose hardware platforms, and to some extent replaces the expensive hardware and commercial software required for traditional data processing.

"Overall, China's industry users are still in the early stages of using large data and Hadoop," said Pan Yonghua, a senior research manager at IDC, China responsible for market research in large data and business intelligence software. All this has affected the development of the market. The Hadoop/mapreduce ecosystem is based on open source software, which is still the most stable mainstream business model, but now many hardware and software vendors are also adding Hadoop to their products Elements or the commercialization of Hadoop through the Hadoop machine to enhance the ease of use of Hadoop-related products. We recommend that users rely on existing Hadoop-related talent and overall IT strategy to decide whether to choose Open source or commercial products. ”

"It should be emphasized that many people currently think Hadoop is a synonym for big data, but we're not suggesting that the big data is Hadoop, and that users have to choose Hadoop/mapreduce ecosystem-related products carefully, and the application scenario is very limited." The product function, usability and integrality of the hadoop/mapreduce ecosystem are still to be improved, the application solution and the related business and tool software still have more development space. The development of the database based on relational database is also enhancing the processing capacity of relational databases and still plays an important role in the large data market. The future big Data world will be a world of many technologies and platforms, and no technology can completely solve all the problems that big data faces, "Pan Yonghua added.

Comments：

Between big data and Hadoop, not simple to equate, Hadoop is not a synonym for big data, large data is not equal to Hadoop, in the long run, the future of the big data world will be a variety of technologies and platforms coexistence of the world, and no one technology can completely solve the big data face all the problems, From this you can see the difference between big data and Hadoop.