--- title: Delta Lake 3.0.0 | daily.dev description: Delta Lake 3.0 ships on Apache Spark 3.5 with three headline features: Delta UniForm, which auto-generates Iceberg metadata alongside Delta metadata over the... canonical: https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Delta Lake 3.0.0 | daily.dev og:description: Delta Lake 3.0 ships on Apache Spark 3.5 with three headline features: Delta UniForm, which auto-generates Iceberg metadata alongside Delta metadata over the... og:url: https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw og:image: https://api.daily.dev/og/posts/PlA4CX6jW.png og:image:alt: Delta Lake 3.0.0 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. # Delta Lake 3.0.0 **[Delta Lake Blog](https://daily.dev/sources/delta-lake)** · 6 min read · 0 upvotes · 0 comments ## Summary Delta Lake 3.0 ships on Apache Spark 3.5 with three headline features: Delta UniForm, which auto-generates Iceberg metadata alongside Delta metadata over the same Parquet data for cross-format compatibility; Delta Kernel, which abstracts protocol details into stable APIs for building connectors; and performance improvements to MERGE, UPDATE (up to 10x faster with Deletion Vectors), and DELETE (2x+ faster). Additional features include a new v2 checkpoint format, zero-copy conversion from Iceberg to Delta, and log compaction files added to the protocol spec. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What does Delta UniForm do in Delta Lake 3.0? Delta UniForm automatically generates Iceberg metadata alongside Delta Lake metadata over a single copy of the underlying Parquet data, eliminating the need to copy or convert data between table formats. Any Iceberg reader built to the open source Iceberg specification can then read the table directly, with support for Hive Metastore also available. _Teams standardizing on one lakehouse format while supporting multiple readers can track UniForm developments on daily.dev._ ### How much faster are UPDATE operations in Delta Lake 3.0? UPDATE operations can be up to 10x faster in Delta Lake 3.0 when writing Deletion Vectors, especially for point updates, though this feature must be enabled manually. DELETE commands also see a 2x or greater speedup thanks to caching canonicalized file paths instead of repeating expensive Path.toUri.toString calls per row. _Engineers tuning Delta table performance follow releases like this one on daily.dev._ ### What is Delta Kernel and why was it introduced? Delta Kernel, introduced at Data+AI Summit 2023, abstracts the Delta Lake protocol details behind stable core library APIs so connector developers don't have to reimplement protocol logic themselves. It addresses inconsistent performance and correctness across the growing ecosystem of Delta connectors and speeds adoption of new protocol features, with a user guide covering standalone Java and distributed connector use. _Developers building or maintaining Delta connectors can keep tabs on Kernel updates via daily.dev._ ## Similar posts on daily.dev - [Advancing the Open Lakehouse with Apache Spark, the Delta Kernel, and the new UC Delta APIs](https://daily.dev/posts/advancing-the-open-lakehouse-with-apache-spark-the-delta-kernel-and-the-new-uc-delta-apis-dbaazlwws) · Delta Lake Blog · 0 upvotes · 0 comments - [Apache Iceberg vs Delta Lake: Choosing the Right Table Format](https://daily.dev/posts/apache-iceberg-vs-delta-lake-choosing-the-right-table-format-vtnia2ems) · BigData Boutique blog · 7 upvotes · 0 comments - [Advancing the Lakehouse with Apache Iceberg v3 on Databricks](https://daily.dev/posts/advancing-the-lakehouse-with-apache-iceberg-v3-on-databricks-6p6wf37qi) · databricks · 4 upvotes · 0 comments - [Announcing Apache Iceberg 1.11.0](https://daily.dev/posts/announcing-apache-iceberg-1-11-0-laq8a21od) · Google Open Source Blog · 4 upvotes · 0 comments - [DuckLake 1.0: Data Lake Format with SQL Catalog Metadata](https://daily.dev/posts/ducklake-1-0-data-lake-format-with-sql-catalog-metadata-i1k4mw1ne) · InfoQ · 0 upvotes · 0 comments --- Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#apache-spark](https://daily.dev/tags/apache-spark), [#apache-iceberg](https://daily.dev/tags/apache-iceberg) [View this post on daily.dev](https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw) ```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":"Delta Lake 3.0.0","url":"https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw"},"datePublished":"2026-08-16T08:53:44.354Z","dateModified":"2026-08-16T08:56:20.278Z","description":"Delta Lake 3.0 ships on Apache Spark 3.5 with three headline features: Delta UniForm, which auto-generates Iceberg metadata alongside Delta metadata over the...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fa3b1003d04112f4a2944e24f1b06086?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fa3b1003d04112f4a2944e24f1b06086?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Delta Lake Blog","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":"Delta Lake Blog","logo":"https://media.daily.dev/image/upload/s--7f2q9Asf--/f_auto,q_auto/v1786870393/logos/delta-lake?_a=BAMAMicg0","url":"https://daily.dev/sources/delta-lake"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-engineering,apache-spark,apache-iceberg","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Delta Lake Blog","item":"https://daily.dev/sources/delta-lake"},{"@type":"ListItem","position":3,"name":"Delta Lake 3.0.0"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/delta-lake-3-0-0-pla4cx6jw#faq","mainEntity":[{"@type":"Question","name":"What does Delta UniForm do in Delta Lake 3.0?","acceptedAnswer":{"@type":"Answer","text":"Delta UniForm automatically generates Iceberg metadata alongside Delta Lake metadata over a single copy of the underlying Parquet data, eliminating the need to copy or convert data between table formats. 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