On July 12, 2019, Taosi Data 100% open sourced the TDengine kernel (storage and computing engine) and community edition.
It is learned that TAOS Data recently announced the completion of the Pre-A round of nearly ten million US dollars financing, led by GGV Jiyuan Capital, Sequoia China Seed Fund, Yong Pfizer followed suit. This round of financing is mainly used to further polish products, establish sales and technical support teams, and develop overseas markets mainly in the United States.
Reported , Taosi Data announced in February 2019 and June 2017 that it has obtained two rounds of angel investment, investment The parties include Yonghui Ruijin, Wenqing Investment, Mingshi Capital and Manzi Fund.
Taosi Data was founded in May 2017. Its main business is the storage, query, analysis and calculation of big data in time series. According to the introduction, the company does not rely on any open source or third-party software, and has developed a high-performance, scalable, highly reliable, high compression ratio, zero-managed IoT engine big data platform with independent intellectual property rights. In addition to the core sequential database functions that are more than 10 times faster, TDengine also provides functions such as caching, data subscription, and streaming computing, which minimizes the complexity of R & D and operation and maintenance. IT operation and maintenance and other fields.
Tao Si data tells that on July 12, 2019, they made the TDengine kernel (storage and computing engine) and community version 100% open source. At present, the number of stars on GitHub has exceeded 10,000, and the number of forks has exceeded 2,800 The number of issues has exceeded 1,000, and it has been on the top of the GitHub global leaderboard for several consecutive days, and has attracted more than 20 external contributors to join. At present, more than 100 systems have been officially launched using the open source version.
Tao Jianhui, founder of Taosi Data, said: “Our open source community is very active. Whenever we release a new version, developers in the TDengine community will pull new code, experience new features, and of course, they will also We feedback new problems and requirements. If we did not choose open source, many problems will take a long time to be exposed, but because of open source, many external developers are willing to help us discover and solve problems together, prompting the TDengine ‘wheel’ to turn at a high speed. It will make the product iteration speed much faster.
Tao Jianhui said that TDengine can now interface with third-party tools such as Telegraf, Prometheus, Grafana, Matlab, and R. Friendly users have written a 4D long text, which details the use of TDengine and Grafana to set up SMS operations Method for monitoring visualization platform