IcebergApp Links Google Sheets to Apache Iceberg Lakehouses via BigQuery

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An open-source library called IcebergApp has been developed to connect Google Workspace directly to Apache Iceberg lakehouses running on Google Cloud. The tool addresses well-known limitations of Google Sheets as an enterprise data store, including a 10-million cell cap, slow CRUD operations, and Apps Script memory constraints. IcebergApp uses BigQuery as a serverless query engine to push predicate filters down through Iceberg's metadata layers, enabling ACID-compliant transactions and sub-second query responses. The library also supports time-travel queries and agentic AI integration, all accessible from within Google Apps Script. The project aims to let organizations retain familiar spreadsheet workflows while scaling analytical workloads to petabyte-level datasets on object storage.

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