Learn more about Apache Doris
1. Introduction to Apache Doris
Apache Doris is a high-performance, real-time analytical database based on MPP architecture. It is well known for its extremely fast and easy-to-use features. It only needs sub-second response time to return query results under massive data. It can not only support high concurrency The point query scenario can also support complex analysis scenarios with high throughput. Based on this, Apache Doris can better meet usage scenarios such as report analysis, ad hoc query, unified data warehouse construction, data lake federation query acceleration, etc. Users can build user behavior analysis, AB experiment platform, log retrieval analysis, user Portrait analysis, order analysis and other applications.
Apache Doris was first born in the Palo project of Baidu's advertising report business. It was officially open-sourced in 2017. In July 2018, Baidu donated it to the Apache Foundation for incubation. Afterwards, under the guidance of Apache mentors, members of the incubator project management committee incubated and operate. At present, the Apache Doris community has gathered more than 400 contributors from nearly 100 companies in different industries, and the number of monthly active contributors is also close to 100. In June 2022, Apache Doris successfully graduated from the Apache Incubator and officially became an Apache Top-Level Project (TLP).
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