Oracle debuts Iceberg-compatible Autonomous AI Lakehouse to boost enterprise analytics

Focus on flexibility and interoperability

The support for Iceberg, as well as a database catalog that unifies data discovery and simplifies metadata management across clouds, data lakes, databases, shares, and catalogs, marks a change in Oracle’s strategy: from a single cloud model to recognizing enterprises’ need for flexibility across clouds and platforms, according to Moor Strategy and Insights principal analyst Robert Kramer.

“Oracle has shifted to open, vendor-neutral interoperability, aligning more closely with Microsoft Fabric and Google BigLake. Features such as Iceberg support and plug-and-play SQL integration with catalogs like Databricks Unity, AWS Glue, and Snowflake Polaris make it easy to support multi-cloud and hybrid setups across OCI, AWS, Azure, Google Cloud, and Exadata Cloud@Customer,” Kramer said.

Analysts also pointed out that Oracle’s new focus on interoperability will benefit its existing customers, especially those who are looking to adopt “open-table” lakehouse analytics without abandoning Autonomous Database or Exadata.

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