Incremental view maintenance (IVM) updates materialized views in databases only with the data that has changed, rather than reprocessing entire datasets. This method significantly reduces the costs of maintaining up-to-date data views and enhances performance, especially for large datasets. The post discusses notable tools and databases leveraging IVM, like PostgreSQL's pg_ivm extension, Materialize, and modern IVM engines inspired by research on differential dataflow and digital signal processing. It explains their workings, benefits, and limitations.
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