In December 2019, "Tsinghua Data for the Internet of Things Database IoTDB" was rated as "Excellent Big Data Product" in a professional review organized by the Big Data Industry Ecological Alliance, the Alliance Big Data and Product Quality Assurance Working Group, and the China Software Evaluation Center. ", and obtained the certification of big data infrastructure products. It is reported that, including IoTDB, a total of 6 outstanding big data products were selected in this review.
Tsinghua is the Internet of Things database IoTDB
Apache IoTDB is a time series database project developed by Tsinghua University and donated to the Apache Foundation. Tsinghua Shuwei IoTDB is a seamlessly integrated version of IoTDB and "Tsinghua Shuwei Big Data Software Stack".
In the evaluation process, the evaluation and evaluation of big data products, solutions and application cases mainly focus on core functions, data mining capabilities, storage capabilities, security management and control capabilities, system performance, and application scale. Evaluation experts agreed that: self-developed products for specific application scenarios continue to emerge and have been tested by actual industrial applications. For example, Tsinghua University’s self-developed "Tsinghua Digital Internet of Things Database IoTDB" industrial time series database product has been It has been implemented in many large-scale industry applications such as wind power and rail transit, and the products have been open sourced to the international Apache organization.
About IoTDB:
Tsinghua Shuwei IoTDB is a lightweight, high-performance time series database independently developed by the School of Software of Tsinghua University. The system is a data management engine that supports the integration of data collection, storage, query and analysis of the Internet of Things, supports "cloud-network-end" integrated deployment and integration, and is suitable for high-end equipment management, factory equipment management, and high-speed network equipment management Various industrial application scenarios.
The system adopts the native columnar storage and sequence encoding and compression methods of time series, and supports the writing speed of tens of millions of points per second for a single node.
The system supports multi-scale time-frequency fusion data storage and multi-dimensional efficient indexing, and provides millisecond-level data query response.
3. The system's native index supports multi-resolution data query, pattern matching and other IoT data analytical queries
4. Adopt an open file structure, seamlessly integrate with Hadoop, Spark ecology, and realize the integration of data query and analysis.
At present, the system has been deployed in production in the Shanghai Metro. Only one server is used to replace the original 13 open source time series database to form a server cluster. The system has also been applied to Goldwind Technology and other units, effectively managing the real-time working condition data of tens of thousands of wind turbines.
In November 2018, after a vote by the Apache Foundation, the world's top open source foundation, IoTDB officially entered Apache, becoming the only project in my country that is currently open sourced and led by the Apache Foundation.
After entering the Apache Software Foundation, Apache IoTDB has released a total of four release versions from 0.8.0 to 0.9.0, providing multiple APIs such as Java, Python, and C++.
Apache IoTDB official website: http://iotdb.apache.org