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NeurDB: An AI-powered Autonomous Data System

Beng Chin Ooi, Shaofeng Cai, Gang Chen, Yanyan Shen, Kian-Lee Tan, Yuncheng Wu, Xiaokui Xiao, Naili Xing, Cong Yue, Lingze Zeng, Meihui Zhang, Zhanhao Zhao

TL;DR

NeurDB is presented, an AI-powered autonomous data system designed to fully embrace AI design in each major system component and provide in-database AI-powered analytics.

Abstract

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 (AIxDB) 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, self-driving capabilities for improved system performance, etc. 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.

NeurDB: An AI-powered Autonomous Data System

TL;DR

NeurDB is presented, an AI-powered autonomous data system designed to fully embrace AI design in each major system component and provide in-database AI-powered analytics.

Abstract

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 (AIxDB) 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, self-driving capabilities for improved system performance, etc. 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.
Paper Structure (34 sections, 8 figures)

This paper contains 34 sections, 8 figures.

Table of Contents

  1. Introduction
  2. Background
  3. Evolutionary trajectory of data systems
  4. Related work on AI$\times$DB
  5. Emerging AI-powered applications
  6. Intelligent healthcare
  7. Intelligent e-commerce
  8. Overview of $\textsf{NeurDB}$
  9. Key design principles
  10. Key features
  11. In-database AI-powered analytics
  12. Intelligent self-driving data system
  13. Privacy-persevering and trusted AI$\times$DB
  14. Conceptual framework of $\textsf{NeurDB}$
  15. In-database AI-friendly ecosystem
  16. ...and 19 more sections

Figures (8)

  • Figure 1: Evolution to AI-powered applications with next-generation data systems
  • Figure 2: Evolutionary trajectory of data systems
  • Figure 3: Conceptual framework of $\textsf{NeurDB}$
  • Figure 4: Overview of in-database AI-friendly ecosystem
  • Figure 5: SLO-aware dynamic model selection
  • ...and 3 more figures