In the era of the Internet of Everything, the digital transformation of enterprises and the migration of government and enterprises to the cloud are in full swing. While cloud computing ushers in major development opportunities, databases also play an important role in the digital transformation of enterprises—with the surge in business volume, the demand for elastic expansion of databases, disaster recovery backups, etc. has gradually emerged. Under this challenge, Time Series Database (Time Series Database) TDengine began to carry out continuous product innovation, while vigorously developing product ecological cooperation.
Recently, Taos Data and Kingsoft Cloud have completed compatibility and mutual authentication work. After rigorous testing by both parties, the time series database TDengine V3. 0. The one-stop big data development intellectual platform (abbreviation: KDC) V3.0 has completed the product compatibility verification, providing a comprehensive guarantee for the digital transformation of enterprises.
Among them, KDE, as the underlying engine layer, provides distributed computing and storage services for upper-layer big data services and applications. It has the characteristics of multi-tenant isolation, high scalability, high security, and high performance, and is used in massive data analysis and processing scenarios. KDC is a user-specific virtualization resource pool provided by Kingsoft Cloud. Users can create custom-configured dedicated cloud servers on dedicated host machines, and apply leading virtualization technologies to meet resource exclusiveness, security, and compliance requirements.
In addition to cooperating with cloud computing vendors, TDengine is also researching the combined development of cloud technology and data technology. The V3.0 version created by TDengine has been upgraded to a real cloud-native time-series database, which solves the high cardinality problem that plagues the development of time-series databases. Support 1 billion devices to collect data, 100 nodes, and support the separation of storage and computing. At the same time, this version also creates a new streaming computing engine, which does not need to integrate Kafka, Redis, Spark, Flink and other software, which can greatly reduce the complexity of the system architecture.
This certification cooperation also marks that TDengine's cloud ecological blueprint has grown again. The future has come. Next, TDengine will continue to join hands with upstream and downstream ecological partners to use the innovative integration of cloud technology and data technology to promote the perfect digital transformation of enterprises.