# A Survey on Transactional Stream Processing

arXiv: https://arxiv.org/abs/2208.09827 · HTML: https://mlsanity.com/paper/2208.09827/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Aug 2022.

## Built on by (most cited first, 2 of 2)

- [Engineering Reliable Coding Agents: Evaluating and Operating the System Around the Model](https://mlsanity.com/paper/2608.13867/) (2026)
- [Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation](https://mlsanity.com/paper/2510.19689/) (2025)

## Abstract (arXiv)

Transactional stream processing (TSP) strives to create a cohesive model that merges the advantages of both transactional and stream-oriented guarantees. Over the past decade, numerous endeavors have contributed to the evolution of TSP solutions, uncovering similarities and distinctions among them. Despite these advances, a universally accepted standard approach for integrating transactional functionality with stream processing remains to be established. Existing TSP solutions predominantly concentrate on specific application characteristics and involve complex design trade-offs. This survey intends to introduce TSP and present our perspective on its future progression. Our primary goals are twofold: to provide insights into the diverse TSP requirements and methodologies, and to inspire the design and development of groundbreaking TSP systems.