# Recent Increments in Incremental View Maintenance

arXiv: https://arxiv.org/abs/2404.17679 · HTML: https://mlsanity.com/paper/2404.17679/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Apr 2024.

## Built on by (most cited first, 1 of 1)

- [Is Agent Memory a Database? Rethinking Data Foundations for Long-Term AI Agent Memory](https://mlsanity.com/paper/2605.26252/) (2026)

## Abstract (arXiv)

We overview recent progress on the longstanding problem of incremental view maintenance (IVM), with a focus on the fine-grained complexity and optimality of IVM for classes of conjunctive queries. This theoretical progress guided the development of IVM engines that reported practical benefits in academic papers and industrial settings. When taken in isolation, each of the reported advancements is but a small increment. Yet when taken together, they may well pave the way to a deeper understanding of the IVM problem. This paper accompanies the invited Gems of PODS 2024 talk with the same title. Some of the works highlighted in this paper are based on prior or on-going collaborations with: Ahmet Kara, Milos Nikolic, and Haozhe Zhang in the F-IVM project; and Mahmoud Abo Khamis, Niko G"obel, Hung Ngo, and Dan Suciu at RelationalAI.