Thank you for your support! After nearly a month of voting, Apache IoTDB won the most popular Chinese open source software in 2019. The most popular TOP30 project awards were presented at the "OSC Origin Creation Conference-Year-end Ceremony" hosted by the Open Source Chinese Community at the National Conference Center of Shenzhen Kexing Science Park.
TOP-30 Most Popular Chinese Open Source Software
Open Source China conducts the selection of the most popular Chinese open source software every year. This selection involves 6 categories, each of which took the top 5 into the TOP30 awards, and a total of 140,000 people participated in the voting. With the efforts of the IoTDB community and users, we rank third in the most competitive basic software category.
The awards session at the main venue:
The photo is a bit fuzzy, the text version: Apache IoTDB is a data management engine for the integration of time series collection, storage and analysis. It has the characteristics of light weight, high performance, and ease of use. It perfectly connects the Hadoop and Spark ecosystems, and is suitable for the high-speed writing and complex analysis and query requirements of massive time series data in industrial IoT applications.
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Group photo of TOP 30 winners:
Qiao Jialin expressed his acceptance speech as the representative of the award: Thanks to Open Source China and everyone for their support. IoTDB was originally a lightweight, high-performance time series database developed by the School of Software of Tsinghua University. It entered the Apache incubator in 2018 and is now an Apache incubator project. At present, it has been applied in many projects such as Shanghai Metro and Dongfeng Motor. I hope you can support us and build the top domestic time series database together.
About Apache IoTDB (incubating)
Tsinghua Shuwei IoTDB is a lightweight, high-performance time series database independently developed by the School of Software of Tsinghua University. It is now an Apache incubator project. 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.
1. The system adopts the native columnar storage and sequence encoding and compression methods of time series, and supports the write speed of tens of millions of points per second for a single node.
2. The system supports multi-scale time-frequency fusion data storage and multi-dimensional efficient indexing, providing 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.
join us
Apache IoTDB official website: http://iotdb.apache.org
Code library
https://github.com/apache/incubator-iotdb
Problem report
https://issues.apache.org/jira/projects/IOTDB/issues/IOTDB-9?filter=allopenissues
Exchange discussion
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Mailing list address
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License
https://github.com/apache/incubator-iotdb/blob/master/asf.header
Disclaimer
https://github.com/apache/incubator-iotdb/blob/master/DISCLAIMER