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Either set it in the metastore's hive-site
from the top result below
https://hudi.apache.org/docs/schema_evolution
Either set it in the metastore's hive-site
https://hudi.apache.org/powered-by
Powered by Apache Hudi, our Data Platform tech stack has been enhanced to enable near-real-time data ingestion, driving AI/ML initiatives and critical business decisions to create exceptional customer experiences
https://hudi.apache.org/blog/2026/07/28/using-hudi-with-apache-iceberg-via-xtable
Using Apache Hudi with Apache Iceberg: Interoperability via Apache XTable
Tags:
Yes — Apache Iceberg engines and catalogs can read Apache Hudi tables
https://hudi.apache.org/docs/quick-start-guide
13
spark-shell --master "local[2]" \
--packages org
https://hudi.apache.org/learn/tech-specs-0-point-x
Apache Hudi will manage metadata, and provide common abstractions and pluggable interfaces to most/all common compute/query engines
https://hudi.apache.org/blog/2026/07/14/what-is-an-open-table-format
Apache Hudi, Apache Iceberg, Delta Lake, and Apache Paimon are the major open table formats; in all of them the data itself stays in open file formats like Apache Parquet or Apache ORC
https://hudi.apache.org/learn/tech-specs
Storage Layout​
Hudi organizes a table as a collection of files (objects in cloud storage) that can be spread across different paths on storage which can be local filesystem, distributed filesystem or object storage