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Transwarp Technology (Shanghai ) Co., Ltd is currently one of the very few high technology companies in China that have truly mastered the core technology of enterprise . It specializes in developing database platforms in the Big Data Era. With De-IOE, meaning independence from IBM, Oracle and EMC, becoming a global trend, Apache Hadoop is now widely recognized as the Big Data solution to replace traditional databases. The company's product, Transwarp Data Hub (TDH), stands at par with those from peers in the Silicon Valley. Superior architecture and functionalities of the TDH make it stand at the leading position in the field.
The developing team of Transwarp is the earliest team in China to work on enterprise Apache Hadoop. The team has been dedicating itself in innovation and improvement of Big Data platform softwares since its start. The team's Big Data journey started around the same time as its peers in the Silicon Valley: in 2011, the team released the first enterprise Apache Hadoop in China. Soon afterwards, the team leaders, Yuanhao Sun, previous CTO of the Data Center Software Division of Intel Asia-Pacific Research and Development Center, and David (Hui) She, previous Director of Sales of Intel in Asia-Pacific, left Intel to start Transwarp with registration captial of 50 million yuan. Transwarp is now headquartered in Shanghai and has branches in Beijing, Guangzhou, Nanjing and Jinan.
Transwarp has around a hundred (and counting) developing engineers. 85% of its empolyees are developing engineers holding master's degrees or Phds. Developing team with such size and high qualifications is rare among teams which specialize in Hadoop development in China.
Transwarp Data Hub (TDH) is a distributed in-memory analysis engine and real-time online large-scale computation platform based on Apache Hadoop and Apache Spark. Compared to the open source Hadoop, it has better performance by 10-100 times. It can process data sets with sizes between gigabytes and petabytes. Transwarp provides both platform and service for storage, analysis and data mining.