The Iceberg Interoperability Myth: Write Once, Read Anywhere?
The Iceberg interoperability myth: how row-level delete support can leave a table readable in Spark but not in Snowflake, on the same catalog and data.
Posts tagged “Catalogs”
Blogs on the topic Data Catalogs
View All Tags
Why Your Iceberg Tables Work in Spark but Break in Databricks
Same Iceberg table, same catalog, same data yet Spark reads it fine while Databricks fails. See what query-engine gaps break cross-engine interoperability.
Iceberg Metadata Explained: Catalogs to Manifests
How Iceberg metadata works: the catalog, metadata.json, snapshots, manifest lists and manifest files, and how they enable time travel, pruning and ACID.