Previously, updating entity resolution in AWS Entity Resolution required reprocessing entire datasets, a time-consuming and costly step inhibiting scalability. The new incremental ML-based matching workflows enable processing only newly added records since the last run, providing up to 95% reduction in processing time—processing million-record increments in under an hour.
Supporting large-scale workloads with up to 50 million incremental records over datasets of up to one billion records, this General Availability feature makes continuous, large-scale entity resolution workflows economically feasible for enterprises, improving efficiency and reducing infrastructure costs. The functionality is available across all AWS Regions where Entity Resolution is offered.
Source & further reading
AWS Entity Resolution launches support for incremental Machine Learning based matching workflows ↗Source published 2026-05-04. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.