Baseline: Operation-Based Evolution and Versioning of Data (arxiv.org)

Baseline, a new platform designed for managing richly structured data, introduces an innovative approach to data versioning through a technique called Operational Differencing. This method allows for fine-grained diffing and merging of data structures, including programming languages and relational databases, even amidst significant changes like schema alterations. Unlike traditional version control systems, Baseline simplifies user interaction by removing the need for a repository; users can branch and share data as they would with documents while benefiting from advanced operationalized version control. This platform is significant for the AI and ML community as it addresses key challenges associated with schema evolution—performing complex queries that adapt seamlessly to structural changes. By operationalizing queries into a timeline of schema and data operations, Baseline enables users to speculate on future data states and execute these queries dynamically. This foundational shift could enhance data management practices in AI applications, leading to more robust systems capable of evolving alongside user needs and design changes.