Couchbase Analytics + Apache Iceberg on Google Cloud: Query Your Lakehouse Without ETL

Couchbase Analytics now supports Apache Iceberg, enabling organizations to query historical data stored in cloud object storage alongside live operational Couchbase data without ETL pipelines, data movement, or duplicate copies. Through read-only linked collections, users can access Iceberg tables using SQL++, join them with operational collections, and perform snapshot-based time-travel queries for audits, reconciliation, and point-in-time analysis. The integration separates query compute, catalog metadata, and storage, with Google Cloud’s Lakehouse runtime catalog and Google Cloud Storage positioned as the primary implementation, while AWS Glue, AWS S3 Tables, Nessie, and the Iceberg REST Catalog are also supported. Setup involves creating an authentication link, registering a catalog, and creating an external collection, after which Iceberg data can be queried like native Couchbase Analytics data. The approach is intended to provide centralized governance, workload isolation, and interoperability with services such as BigQuery and Dataproc while maintaining a single shared copy of data.

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