Hyperconverged All-in-One Streaming Engine of AntDB

By: Hunan AsiaInfo Anhui Technologies co., Ltd.
 
HANGZHOU, China - July 31, 2023 - PRLog -- Advantage of AntDB: hyper-convergence + streaming processing engine

In the overall architecture, a new "hyper-convergence" concept was proposed, which integrated multiple engines and capabilities to meet the increasingly complex mixed load scenarios and business needs of mixed data type for enterprises.

At the mean time, to support users' increasingly demanding requirements, through the cloud-native "streaming processing engine", streaming computing and database are integrated and innovated from the kernel level, meeting the needs of real-time business analysis, real-time reporting and other types of asynchronous transaction scenarios such as Internet+.

In our point of view, HTAP, lake/warehouse integration and stream/batch integration are only transitional products on the evolution of database. The future database will put "data" at its core and integrate with various business data to meet IT systems and industrial data in China.

Integration of five application requirements:

Traditional transaction and analysis, streaming processing, time-series and memory computing


The current application demands of users for data mainly lie in five aspects: traditional transaction, analysis, big data mining, high-performance memory computing and real-time streaming data processing. These five aspects are carried separately by different technology stacks. HTAP is attempting to integrate transactions and analyses while AntDB aims to bring the five types of data services under a unified technical framework, making one product a "one-stop service" for users.

The hyper-convergence framework of database proposed by AntDB V7.2 can make full use of the architectural advantages of distributed database engines and further expand on the concept of HTAP to encapsulate multiple engines such as time-series storage, streaming processing execution and vectorized analysis in a unified architecture. Supporting multiple business models in the same database cluster greatly reduces the complexity of supporting diverse data requirements for business systems and brings convenience to application developers as well as DBAs and architects.

learn more at: http://en.antdb.net/
End
Source:Hunan AsiaInfo Anhui Technologies co., Ltd.
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