Let me share my thoughts with you. 1, hadoop is open source, and it is easier to get the source code. Microsoft and other related products are closed source. Hadoop and Microsoft are like Android and ios. In the market, Huawei, Xiaomi and Samsung basically develop their own rom based on Google's open source Android. 2. Big data is now China's 13th Five-Year National Strategy, and Apache hadoop has developed into a huge ecological circle. Developers all over the world are contributing their own code. Various branches are also quite popular, such as spark. 3. It is generally believed that hadoop is the representative of narrow sense big data. Actually, it's not. There are many big data companies, such as Xinghuan Technology, MapR, Hortonwork and Cloudera. These four companies should be among the top four in the world, with three in Silicon Valley and one in China. All four companies are developed based on open source hadoop. DW products based on MPP architecture, such as Teredata, GP, IBM, etc. , do the upper data application. There are many such companies, many of which need to sell their labor hours. Now there are also companies that sell data, and there are many such companies.