Apache Doris is a high-performance all-scenario MPP database, donated by Baidu to the ASF. It can provides near-real-time data analysis for massive data and supports large-scale data import.Apache Doris also support ultra-concurrent query responses and return query results only in sub-second. In this speech, Apache Doris PMC member Yang Zhengguo will first give you a brief introduction to the development of the Apache Doris community. It will then highlight the new features in the most anticipated version 1.x of Apache Doris, including the vectorized execution engine and sophisticated memory management, and finally introduce some of the exciting new features currently being developed by the Apache Doris community and plans for the cloud native era.

Speakers:

Zhengguo Yang:Apache Doris PMC member, Senior R&d Engineer, joined Baidu in 2014 and has been engaged in big data and machine learning and mainly responsible for research and development of Apache Doris storage layer and computing, and is one of the core contributors of Apache Doris community.