Unifying Google Workspace and Apache Iceberg: Serverless Lakehouse Management
Turn Google Sheets into a Petabyte Lakehouse with Sub-Second ACID Queries.
Abstract
Google Sheets faces severe scalability bottlenecks when handling large enterprise datasets, including a strict 10-million cell limit, crippling CRUD latency, and Google Apps Script’s execution and memory boundaries. This article presents IcebergApp, an open-source library bridging Google Workspace to Apache Iceberg lakehouses on Google Cloud. By utilizing BigQuery as a serverless query accelerator to execute predicate pushdown over Iceberg metadata, IcebergApp eliminates spreadsheet latency, ensures ACID transactions, and enables sub-second queries, time travel, and agentic AI integration directly from Google Apps Script.