--- title: My First Billion (of Rows) in DuckDB | daily.dev description: The post describes the author's experience with DuckDB, a database for processing large volumes of data locally. It covers the problem of processing logs of... canonical: https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: My First Billion (of Rows) in DuckDB | daily.dev og:description: The post describes the author's experience with DuckDB, a database for processing large volumes of data locally. It covers the problem of processing logs of... og:url: https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh og:image: https://api.daily.dev/og/posts/XDMay1oDh.png og:image:alt: My First Billion (of Rows) in DuckDB 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. # My First Billion (of Rows) in DuckDB **[Medium](https://daily.dev/sources/medium_js)** · 10 min read · 20 upvotes · 1 comments ## Summary The post describes the author's experience with DuckDB, a database for processing large volumes of data locally. It covers the problem of processing logs of Brazilian electronic ballot boxes and the challenges involved. The post explains the features and advantages of DuckDB and provides a step-by-step implementation of data processing. It concludes with the author's evaluation of DuckDB's performance and usability. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Community discussion Top comments from developers on daily.dev. **@christophackerl** · 0 upvotes > Gotta give this DuckDB a shot in some hobby project. Looks really promising and interesting. --- Tags: [#performance](https://daily.dev/tags/performance), [#sql](https://daily.dev/tags/sql), [#big-data](https://daily.dev/tags/big-data), [#data-processing](https://daily.dev/tags/data-processing), [#duckdb](https://daily.dev/tags/duckdb) [View this post on daily.dev](https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh) ```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":"My First Billion (of Rows) in DuckDB","url":"https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh"},"datePublished":"2024-05-02T13:32:34.876Z","dateModified":"2024-05-09T08:43:33.910Z","description":"The post describes the author's experience with DuckDB, a database for processing large volumes of data locally. It covers the problem of processing logs of...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/58613e28b3f0b9332108ec3bf5eb8ff4?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/58613e28b3f0b9332108ec3bf5eb8ff4?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"Medium","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Medium","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium","url":"https://daily.dev/sources/medium_js"},"commentCount":1,"discussionUrl":"https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":20},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":1}],"keywords":"performance,sql,big-data,data-processing,duckdb","timeRequired":"PT10M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Medium","item":"https://daily.dev/sources/medium_js"},{"@type":"ListItem","position":3,"name":"My First Billion (of Rows) in DuckDB"}]} {"@context":"https://schema.org","@type":"WebPage","@id":"https://daily.dev/posts/my-first-billion-of-rows-in-duckdb-xdmay1odh","comment":[{"@type":"Comment","text":"Gotta give this DuckDB a shot in some hobby project. Looks really promising and interesting.","datePublished":"2024-05-12T13:06:53.726Z","url":"https://daily.dev/posts/XDMay1oDh#c-LehR3geQ5","author":{"@type":"Person","name":"Christoph Ackerl","url":"https://daily.dev/christophackerl","image":"https://media.daily.dev/image/upload/s--A8UZx0rU--/f_auto/v1715250087/avatars/avatar_YYIszOY3GEn7WDYrYleAj"}}]} ```