{"id":48074,"date":"2026-07-01T16:53:25","date_gmt":"2026-07-01T14:53:25","guid":{"rendered":"https:\/\/www.cloudmagazin.com\/?p=48074"},"modified":"2026-07-01T20:12:40","modified_gmt":"2026-07-01T18:12:40","slug":"iceberg-won-the-format-war-now-the-catalog-counts","status":"publish","type":"post","link":"https:\/\/www.cloudmagazin.com\/en\/2026\/07\/01\/iceberg-won-the-format-war-now-the-catalog-counts\/","title":{"rendered":"Iceberg won the format war. Now the catalog counts."},"content":{"rendered":"<p style=\"color:#0bb7fd;font-size:0.9em;margin:0 0 16px;padding:0;\">6 min read<\/p>\n<p><strong>The debate over which table format powers the open data lakehouse is largely settled. Apache Iceberg has won out. Snowflake, Databricks, and Amazon are rolling out version 3, while Delta Lake is converging on the same standard via UniForm. That shifts the real architecture decision to a spot many platform teams still underestimate: the catalog.<\/strong><\/p>\n<h2>Key Takeaways<\/h2>\n<ul>\n<li><strong>The format war is largely over:<\/strong> Iceberg v3 is generally available on Snowflake, in public preview on Databricks, and Amazon S3 Tables are joining the party. Delta Lake now exposes its tables as Iceberg via UniForm. The mantra: write once, read from many engines.<\/li>\n<li><strong>The catalog becomes the new lock-in lever:<\/strong> The binding shifts from the format to the service that manages metadata and access rights. Polaris, Unity Catalog, and AWS Glue are all vying for this layer.<\/li>\n<li><strong>The REST specification decides freedom:<\/strong> Pick a catalog that fully implements the Iceberg REST interface and you keep engines and clouds interchangeable. Skip the check and you merely move the lock-in one floor up.<\/li>\n<\/ul>\n<p style=\"font-size:0.88em;color:#666;margin:20px 0 32px 0;border-top:1px solid #e5e5e5;border-bottom:1px solid #e5e5e5;padding:10px 0;\"><span style=\"color:#004a59;font-weight:700;text-transform:uppercase;font-size:0.72em;letter-spacing:0.14em;margin-right:14px;\">Related<\/span><a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/05\/31\/cross-cloud-lakehouse-and-egress-caching-what-google-cloud-next-2026-changes\/\" style=\"color:#333;text-decoration:underline;\">Cross-Cloud Lakehouse and Egress Caching<\/a>&nbsp;&nbsp;<span style=\"color:#ccc;\">\/<\/span>&nbsp;&nbsp;<a href=\"https:\/\/www.cloudmagazin.com\/en\/2026\/05\/03\/google-agentic-data-cloud-bigquery-lakehouse-databricks-dach\/\" style=\"color:#333;text-decoration:underline;\">BigQuery Takes Aim at Databricks with S3 Bridge<\/a><\/p>\n<h2 style=\"margin-top:64px;margin-bottom:20px;padding-top:16px;\">Why the format war is over<\/h2>\n<p>For three years, the first question in every lakehouse project was: Iceberg, Delta Lake, or Hudi? That question is now largely answered. For new open lakehouses, Apache Iceberg is the default choice. Netflix, Apple, Airbnb, and LinkedIn manage petabyte-scale datasets with it. The major platforms now support the format widely-though not everywhere flawlessly.<\/p>\n<p>The deciding factor is version 3. Iceberg v3 ships natively with Deletion Vectors, Row Lineage, and the Variant data type-capabilities that had recently given Delta Lake a technical edge. The gap between Delta performance and Iceberg compatibility is shrinking fast. Snowflake made v3 generally available in May, Databricks is running it in public preview, and Amazon S3 Tables support it as well. Coverage isn\u2019t perfect yet; AWS Athena, for instance, still can\u2019t read v3.<\/p>\n<p>Meanwhile, Delta Lake is converging rather than diverging. Via UniForm, one team exposes its Delta tables as Iceberg, letting them be read by Snowflake, BigQuery, Redshift, or Trino. Observers expect the next releases of both projects to move even closer together. For users, that means a shared foundation-and the former bet on a single format is no longer necessary.<\/p>\n<div style=\"background:#004a59;color:#fff;text-align:center;padding:40px 24px;margin:32px 0;border-radius:8px;\">\n<div style=\"font-size:3.4em;font-weight:800;color:#0bb7fd;letter-spacing:-0.03em;line-height:1;\">v3<\/div>\n<div style=\"font-size:1em;color:rgba(255,255,255,0.88);margin-top:12px;max-width:520px;margin-left:auto;margin-right:auto;line-height:1.5;\">The Iceberg release that effectively ends the format war: Deletion Vectors, Row Lineage, and the Variant data type are now native, melting away Delta Lake\u2019s last technical advantages.<\/div>\n<div style=\"font-size:0.78em;color:rgba(255,255,255,0.5);margin-top:12px;\">Source: Apache Iceberg v3 specification 2026<\/div>\n<\/div>\n<h2 style=\"margin-top:64px;margin-bottom:20px;padding-top:16px;\">Four catalogues, four lock-in profiles<\/h2>\n<p>When the format becomes interchangeable, the catalogue decides who gets access. It defines which tables exist, where their metadata resides, who may read them, and how write operations are cleanly serialised. This is where the new competition begins. Four options shape the market, each with its own degree of freedom.<\/p>\n<ol>\n<li style=\"margin-bottom:12px;\"><strong>Apache Polaris as a neutral reference.<\/strong> Snowflake open-sourced Polaris in 2024 and donated it to the Apache Foundation, where it continues as a vendor-neutral project. Polaris implements the Iceberg REST interface, including rights and credential management for the accessing engines. Result: the lowest structural lock-in, but the operational overhead of running your own service or a managed variant.<\/li>\n<li style=\"margin-bottom:12px;\"><strong>Unity Catalog in the Databricks ecosystem.<\/strong> Databricks now exposes Unity Catalog to Iceberg clients and streams live shares to Snowflake, Trino, Flink or Spark without copying data. Result: strong governance and sharing features, yet gravity pulls everything toward the Databricks platform.<\/li>\n<li style=\"margin-bottom:12px;\"><strong>AWS Glue with catalogue federation.<\/strong> Glue federates with Polaris, Unity Catalog and any other REST-compliant catalogues. Result: if you\u2019re already on AWS, you can integrate existing catalogues instead of replacing them, migrating gradually.<\/li>\n<li><strong>Snowflake Open Catalog as a managed Polaris.<\/strong> For teams that don\u2019t want to run Polaris themselves, Snowflake offers a hosted version; Dremio provides another. Result: Polaris neutrality without your own ops burden, at the price of a vendor relationship for the service.<\/li>\n<\/ol>\n<p>The verdict is uncomfortable but clear: an open format does not automatically shield you from lock-in. The catalogue can reintroduce the very dependency the format was meant to dissolve. That\u2019s why the catalogue question belongs at the very start of your architecture.<\/p>\n<div style=\"overflow-x:auto;-webkit-overflow-scrolling:touch;margin:16px 0 32px 0;\">\n<table style=\"width:100%;min-width:560px;border-collapse:collapse;font-size:0.95em;\">\n<thead>\n<tr style=\"background:#004a59;color:#fff;\">\n<th style=\"padding:12px 16px;text-align:left;border:1px solid #004a59;\">Catalogue<\/th>\n<th style=\"padding:12px 16px;text-align:left;border:1px solid #004a59;\">Operator<\/th>\n<th style=\"padding:12px 16px;text-align:left;border:1px solid #004a59;\">Strength<\/th>\n<th style=\"padding:12px 16px;text-align:left;border:1px solid #004a59;\">Lock-in risk<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\"><strong>Apache Polaris<\/strong><\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">Apache Foundation<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">full REST specification, vendor-neutral<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;color:#004a59;font-weight:600;\">low, yet operational load<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\"><strong>Unity Catalog<\/strong><\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">Databricks<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">governance and live sharing<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;color:#004a59;font-weight:600;\">medium, platform gravity<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\"><strong>AWS Glue<\/strong><\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">Amazon<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">federation of existing catalogues<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;color:#004a59;font-weight:600;\">medium, AWS-bound<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\"><strong>Snowflake Open Catalog<\/strong><\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">Snowflake<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;\">managed Polaris<\/td>\n<td style=\"padding:12px 16px;border:1px solid #ddd;color:#004a59;font-weight:600;\">low to medium<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"font-size:0.8em;color:#888;margin-top:8px;\">Source: Iceberg-REST catalogue landscape, mid-2026.<\/p>\n<h2 style=\"margin-top:64px;margin-bottom:20px;padding-top:16px;\">Where Migration Really Stumbles<\/h2>\n<p>The switch rarely fails because of the format-it almost always comes down to governance. A catalog doesn\u2019t just manage table names; it also distributes access rights and temporary cloud credentials to the querying engines. It\u2019s this credential vending that must work seamlessly across cloud boundaries and remain auditable. Polaris has stepped up in version 1.4 (April) with features like session tags for AWS audit-log attribution and stored catalog metrics.<\/p>\n<p>The second hurdle is the migration itself. Teams running tables in Glue, Hive Metastore, or proprietary formats don\u2019t want to flip everything at once. Catalog federation offers a pragmatic path: introduce a neutral catalog like Polaris incrementally while keeping legacy systems running in parallel until the cutover is clean.<\/p>\n<p>Cost remains critical. Cross-cloud queries only pay off once data movement and egress are factored in. The catalog governs access, but the cost equation stays separate-and belongs in the same decision.<\/p>\n<h2 style=\"margin-top:64px;margin-bottom:20px;padding-top:16px;\">What Cloud Teams Must Decide Now<\/h2>\n<p>For platform teams in the DACH region, the takeaway is clear: format debates are over-Iceberg is the default. Focus now shifts to the catalog. Want maximum engine and cloud independence? Verify whether the catalog fully implements the REST spec. Factor in the true operational overhead of a neutral solution.<\/p>\n<p>Teams already deep in a single platform can leverage its built-in catalog, but should weigh the lock-in. Federation remains the exit ramp. The decisive question today is about the catalog: who holds the keys? The format has become a footnote. Cross-cloud data access is rapidly becoming the prerequisite for AI agents to query the same dataset.<\/p>\n<h2 style=\"padding-top:64px;margin-bottom:20px;\">Frequently Asked Questions<\/h2>\n<details>\n<summary><strong>What exactly is an Iceberg catalog?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">The catalog is the service that knows which Iceberg tables exist, where their current metadata is stored, and who is permitted to read or write them. It ensures consistent access for multiple engines to the same data set. Without a catalog, an Iceberg table remains merely a collection of files without a reliable framework.<\/p>\n<\/details>\n<details>\n<summary><strong>Does the Iceberg vs. Delta Lake debate end here?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Mostly. Delta Lake now exposes its tables via UniForm as Iceberg-compatible, allowing Iceberg engines to read them. For new open lakehouses, Iceberg is the default choice, and format selection rarely matters anymore.<\/p>\n<\/details>\n<details>\n<summary><strong>Why is Apache Polaris considered particularly neutral?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">Polaris is part of the Apache Foundation and implements the Iceberg REST interface. It can be self-hosted or consumed as a managed service via Snowflake and Dremio, ensuring access remains independent of any single platform.<\/p>\n<\/details>\n<details>\n<summary><strong>Do I need to migrate everything at once for a neutral catalog?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">No. Catalog federation allows you to introduce a neutral catalog gradually while keeping existing systems like Glue or the Hive Metastore running in parallel. This spreads the risk instead of concentrating it in one massive migration.<\/p>\n<\/details>\n<details>\n<summary><strong>How does the catalog question relate to AI agents?<\/strong><\/summary>\n<p style=\"margin:8px 0 4px 24px;color:#555;line-height:1.6;\">AI agents require reliable, governed access to data-often across cloud boundaries. The catalog provides exactly this governed access layer to a single physical data set. 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Now, the catalog determines governance and lock-in. What cloud teams need to consider.","protected":false},"author":87,"featured_media":48071,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"Apache Iceberg","_yoast_wpseo_title":"Iceberg won the format war. Now the catalog counts.","_yoast_wpseo_metadesc":"Apache Iceberg is the lakehouse standard. Now, the catalog decides governance & lock-in. Key considerations for cloud teams.","_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":0,"_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":0,"ngg_post_thumbnail":0,"pre_headline":"","bildquelle":"","teasertext":"","language":"de","_evm_translation_lang":"","featured_post":0,"featured_post_sortierung":0,"_wp_old_slug":[],"footnotes":""},"categories":[13,722],"tags":[],"industry":[],"class_list":["post-48074","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aktuelles","category-rechenzentren"],"evm_reading_time_minutes":8,"wpml_language":"en","wpml_translation_of":48067,"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Iceberg won the format war. 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