DBOS: three years later
Peter Kraft
Stanford
Matei Zaharia
UC Berkeley
Michael Stonebraker
MIT
The International Journal on Very Large Data Bases (VLDB), 2025
Abstract
In our VLDB 2022 publication (Skiadopoulos, 2022), we presented the rationale for a DBMS-oriented operating system and reported a series of experiments supporting this approach. This paper provides a comprehensive update on the project, which evolved as a research initiative for two additional years before transitioning into a venture-capital-backed startup over the past 18 months. During this period, we developed a provenance system and a programming environment integrating Python and TypeScript, accompanied by detailed performance evaluations. Furthermore, we outline the modifications made to the research prototype to support the demands of commercialization.