Google Cloud Lakehouse for Apache Iceberg vs Oracle Autonomous AI Lakehouse

Google Cloud Lakehouse for Apache Iceberg is a web service for working with Apache Iceberg tables. Its listed capabilities include SQL analytics, ACID transactions, streaming ingestion, and a governance catalog, with both listed storage models and table-format categories supported. Charges are organized by metadata storage, table management, metadata access, and catalog federation refresh rather than a single stated plan price. Metadata storage includes 1 GiB free each month; additional storage starts at $0.04 per GiB per month. Table management starts at $0.12 per DCU-hour and includes storage optimization, adaptive file sizing, automatic clustering, garbage collection, and BigQuery metadata generation. Class A metadata access includes 5,000 free operations monthly, and Class B includes 50,000. Catalog federation metadata refresh lists 0 to 5,001 free operations per account each month. The service is paid overall and has no free plan, despite those component-level free allowances. Listed billing thresholds are above 5,001 operations for Class A and catalog refresh, and above 50,001 for Class B. Google was founded in 1998 and is headquartered in Mountain View, California.

Oracle Autonomous AI Lakehouse is a pay-per-use platform for working with data through open lake technologies and enterprise data warehouse capabilities. It can query Apache Iceberg tables across clouds without moving the data, and is available on OCI, AWS, Azure, Google Cloud, and Exadata Cloud@Customer. It supports structured, semi-structured, and unstructured data, with catalog integrations including OCI Data Catalog, AWS Glue, and Apache Iceberg catalogs in Databricks and Snowflake. Data Studio provides drag-and-drop workflows for integrating data from more than 100 application, cloud service, and database sources, and enables bidirectional sharing with Power BI and Tableau through Delta Sharing. Its AI and analytics tools include machine learning, graph and spatial analytics, and AI Vector Search for semantic search and retrieval-augmented generation. Select AI can use models from providers including Cohere, OpenAI, Google, Anthropic, and AWS. Oracle says automated management covers provisioning, security, tuning, and scaling. The Always Free offer includes two database instances, subject to capacity limits; a separate trial provides US$300 in cloud credits for up to 30 days.