incrementad
Incrementad is a theoretical framework and collection of techniques for incremental computation and data synchronization. It describes systems that maintain derived results as input data changes, updating only the affected parts rather than recomputing from scratch. The core idea is to model computations as dependency graphs and to propagate changes efficiently through that graph.
The term combines 'increment' with the suffix -ad, used in some tech terms to denote a domain
Architecturally, incrementad emphasizes incremental evaluation, memoization of intermediate results, and diffs or deltas. It often employs
Applications include real-time analytics, incremental build systems, live spreadsheets, graph-based data integration, and machine learning pipelines
Limitations include complexity of correct change propagation, potential overhead for small updates, and challenges with non-deterministic