NeurDB: an AI-powered autonomous data system

In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a transformative leap in data systems. The imminent fusion of AI and DB (AI×DB) promises a new generation of data systems, which will relieve the burden on end-users across all industry sectors by featuring A...

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Bibliographic Details
Published in:Science China. Information sciences 2024-10, Vol.67 (10), p.200901, Article 200901
Main Authors: Ooi, Beng Chin, Cai, Shaofeng, Chen, Gang, Shen, Yanyan, Tan, Kian-Lee, Wu, Yuncheng, Xiao, Xiaokui, Xing, Naili, Yue, Cong, Zeng, Lingze, Zhang, Meihui, Zhao, Zhanhao
Format: Article
Language:English
Subjects:
Artificial intelligence
Automation
Computer Science
Data processing
Data systems
Design
Design analysis
Information Systems and Communication Service
Position Paper
Relational data bases
Structured Query Language-SQL
User needs
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Summary:In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a transformative leap in data systems. The imminent fusion of AI and DB (AI×DB) promises a new generation of data systems, which will relieve the burden on end-users across all industry sectors by featuring AI-enhanced functionalities, such as personalized and automated in-database AI-powered analytics, and self-driving capabilities for improved system performance. In this paper, we explore the evolution of data systems with a focus on deepening the fusion of AI and DB. We present NeurDB, an AI-powered autonomous data system designed to fully embrace AI design in each major system component and provide in-database AI-powered analytics. We outline the conceptual and architectural overview of NeurDB, discuss its design choices and key components, and report its current development and future plan.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-024-4125-9