Querybook
Pinterest's open-source big data query notebook for collaborative SQL analytics
Overview
Querybook is an open-source data analysis and exploration platform built by Pinterest that combines a SQL query editor, scheduling, result visualizations, and data documentation in a single collaborative notebook interface. It supports Hive, Presto, Spark, BigQuery, and more via pluggable engines. Deployed with Docker Compose backed by MySQL and Elasticsearch.
Where it falls short of Retool
- Primarily designed for big data query engines (Hive, Presto); poor fit for everyday OLTP databases
- No spreadsheet-style formula editing; purely a SQL notebook tool
- Requires Elasticsearch and Celery workers, adding significant infrastructure overhead
We list the gaps honestly so you can decide if the trade-off is worth owning your data.
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