--- title: Dictionary Compression in Materialize | daily.dev description: Materialize uses dictionary compression to reduce peak memory usage by more than half without slowing data hydration. The approach leverages unused tag bytes... canonical: https://daily.dev/posts/dictionary-compression-in-materialize-5ahob7a8s twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Dictionary Compression in Materialize | daily.dev og:description: Materialize uses dictionary compression to reduce peak memory usage by more than half without slowing data hydration. The approach leverages unused tag bytes... og:url: https://daily.dev/posts/dictionary-compression-in-materialize-5ahob7a8s og:image: https://api.daily.dev/og/posts/5ahoB7a8s.png og:image:alt: Dictionary Compression in Materialize og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Dictionary Compression in Materialize **[Materialize](https://daily.dev/sources/materialize)** · 5 min read · 0 upvotes · 0 comments ## Summary Materialize uses dictionary compression to reduce peak memory usage by more than half without slowing data hydration. The approach leverages unused tag bytes in Materialize's row representation to encode the most frequent column values as single bytes. Frequent values are identified on-the-fly using the Misra-Gries streaming algorithm, which maintains approximate counts of the most common elements during data loading. Empirical results on a ~1TB internal knowledge graph workload show peak memory halved, enabling a 2x resource reduction, though further halving causes failures when compressed data no longer fits available resources. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Optimizing Your ClickHouse Schema for Storage Efficiency](https://daily.dev/posts/optimizing-your-clickhouse-schema-for-storage-efficiency-pjuw80x9a) · BigData Boutique blog · 3 upvotes · 0 comments - [Building high-performance full-text search for object storage](https://daily.dev/posts/building-high-performance-full-text-search-for-object-storage-l0orx1vdy) · ClickHouse · 1 upvotes · 0 comments - [Four Thoughts from Four Years at Materialize](https://daily.dev/posts/four-thoughts-from-four-years-at-materialize-zaxbxrtji) · Materialize · 0 upvotes · 0 comments - [On programming, statistics, and Java](https://daily.dev/posts/on-programming-statistics-and-java-8d0gstmw0) · Awesome Java Newsletter · 0 upvotes · 0 comments - [5 Embedding Compression Techniques](https://daily.dev/posts/5-embedding-compression-techniques-xrwx2u8js) · Daily Dose of Data Science \| Avi Chawla \| Substack · 1 upvotes · 0 comments --- Tags: [#backend](https://daily.dev/tags/backend), [#materialize](https://daily.dev/tags/materialize) [View this post on daily.dev](https://daily.dev/posts/dictionary-compression-in-materialize-5ahob7a8s) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Dictionary Compression in Materialize","url":"https://daily.dev/posts/dictionary-compression-in-materialize-5ahob7a8s","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/dictionary-compression-in-materialize-5ahob7a8s"},"datePublished":"2026-08-03T14:45:25.686Z","dateModified":"2026-08-03T14:45:47.768Z","description":"Materialize uses dictionary compression to reduce peak memory usage by more than half without slowing data hydration. 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