Querybook
A notebook-style Big Data IDE from Pinterest for discovering, querying, and sharing analyses, with MySQL among its built-in query engines alongside Presto, Hive, and others.
Querybook combines a DataHub-style metadata catalog with a notebook interface where SQL cells, charts, and written analysis can be mixed on the same page and shared with a team. Its “Query Engines” support list includes MySQL, Presto, Hive, Druid, Snowflake, BigQuery, SQLite, and PostgreSQL, with MySQL also usable as the backing store for Querybook’s own results and metadata. It runs self-hosted via Docker — the README’s quick-start has Docker as the only prerequisite, with make bringing up the stack locally.
Released by Pinterest under the Apache License 2.0, with around 2.3k stars on GitHub.
Community feedback
This space is for grounded, evaluable experience — versions used, environments, what you measured or observed, and how it behaves alongside other software. General impressions without supporting detail may be removed. Sign in to write one; posts are tied to a verified identity, not anonymous.