4 posts tagged with "Interoperability"
Blogs on the topic data lakehouse interoperability
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Interoperability Unlocked: OLake Go Now Writes Iceberg Deletion Vectors
OLake Go can now write Iceberg v3 deletion vectors for upserts and CDC. From immutable Parquet and merge-on-read to equality and positional deletes—and why bitmap deletion vectors close the gap with query engines.
The Iceberg Interoperability Myth: Why Open Table Format Doesn't Mean Write Once, Read Anywhere
See how row-level delete support can make an Iceberg table readable in Spark but incompatible with Snowflake, even when both engines use the same catalog and data.
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 Delete Format Interoperability in OLake Go: Equality, Position & Deletion Vectors
How OLake Go picks the right Iceberg delete format for your destination catalog and query engines, so tables are readable across Spark, Snowflake, Databricks, Athena, and Trino.
