Recently, Gartner, an international authoritative research institution, released the report "China Data Analysis and Artificial Intelligence Technology Maturity Curve in 2023" (ie "Hype Cycle for Data, Analytics and AI in China, 2023"), and TDengine was successfully selected as a representative in the field of real-time data management product .
As an authoritative evaluation system for assessing the development stage of global new technology maturity, Gartner Hype Cycle's published list of typical representative suppliers (Sample Vendor) is used to recommend representatives of manufacturers with mature products and unique value in this field, which has a wide range of influence in the world force. The recognition and attention of this international authoritative organization also fully demonstrates TDengine's industry-leading position and excellent product capabilities in the field of data management.
It is understood that Gartner creates a technology maturity curve (Hype Cycle) for technologies, applications and industries every year. This curve is mainly used to help users track the maturity and future potential of technologies. It is the most concerned and recognized report by Gartner in the market one of . The technology maturity curve describes and presents the development stage of cutting-edge technologies through graphics. The Y-axis (Expectations) of the curve is people's expectations for the technology, and the horizontal axis represents the maturity of the technology. It is composed of five parts, corresponding to There are five stages of new technology development: the budding stage when the technology is just popular, the popular attention period with increasing attention, the trough period when the popularity drops, the climbing period, and the mature period.
The report released by Gartner shows that real-time data management technology is on the rise, indicating that related technology products are becoming more mature in terms of design and usage scenarios, and best practices are beginning to emerge. At this stage, specific examples of businesses benefiting from technology emerge and are widely known. As a representative manufacturer in this field, the development status of TDengine also confirms the referenceability of this evaluation result.
After 6 years of development, TDengine has vigorously promoted the implementation of data innovation technology in response to the massive time-series data processing needs in many fields such as the Internet of Things and the Industrial Internet. At the same time, it has supported cloud technology, AI technology and product ecological construction. , The application practice of TDengine in various industries has become more and more popular.
In August 2022, TDengine successfully broke through the technical iteration of version 3.0 and became a real cloud-native time series database ( Time Series Database ). 100 nodes, support the separation of storage and computing; upgrade and optimize the storage engine and computing engine, and create a new streaming computing engine, no need to integrate Kafka, Redis, Spark, Flink and other software, greatly reducing the system architecture the complexity.
Along with technological innovation, TDengine has made further progress in market development. At present, it has harvested 21.6k Stars on GitHub, ranking first on the GitHub trend list for many times; the number of TDengine instances running globally exceeds 337.4k, and users are all over the world. Based on specific applications, TDengine has developed products including JD Cloud, Huolala, CECEP Wind Power, Hollysys, Shaanxi Coal Mine, Weilai Energy, Tongcheng Travel, Yikatong, 58.com, Siemens, Midea, ZTO These practical cases are summarized at https://www.taosdata.com/tdengine-user-cases, and you are welcome to refer to them.
For a long time, TDengine has been constantly advancing towards the direction of "doing the best", in order to provide users with the best quality products and services. In the future, we will continue to develop technology, create a more complete product ecosystem, and provide strong empowerment for improving the digital and intelligent level of enterprises.