Actor-Relational Database Systems: A Manifesto
Vivek Shah, Marcos Antonio Vaz Salles

TL;DR
This paper advocates for actor-relational database systems, integrating actor programming models with databases to enable modular, scalable, and efficient data-intensive applications on modern hardware.
Contribution
It presents a broad vision, design principles, and feature sets for actor-relational databases, supported by a case study demonstrating potential benefits.
Findings
Performance benefits on modern hardware
Design principles for actor-relational systems
Case study on smart supermarket application
Abstract
Interactive data-intensive applications are becoming ever more pervasive in domains such as finance, web applications, mobile computing, and Internet of Things. Increasingly, these applications are being deployed in sophisticated parallel and distributed hardware infrastructures. With this growing diversity of the software and hardware landscape, there is a pressure on programming models and systems to enable developers to design modular, scalable, efficient, and consistent data-intensive applications. In response to this challenge, recent research has advocated the integration of actor programming models and database management. This integration promises to help developers build logically distributed micro-applications well adapted to modern hardware trends as opposed to existing approaches targeted at optimizing monolithic applications. Towards this aim, in this paper we analyze,…
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Taxonomy
TopicsCloud Computing and Resource Management · Distributed systems and fault tolerance · Advanced Data Storage Technologies
