Querybook is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. Check out the full documentation & feature highlights here.
- 📚 Organize analyses with rich text, queries, and charts
- ✏️ Compose queries with autocompletion and hovering tooltip
- 📈 Use scheduling + charting in DataDocs to build dashboards
- 🙌 Live query collaborations with others
- 📝 Add additional documentation to your tables
- 🧮 Get lineage, sample queries, frequent user, search ranking based on past query runs
Please install Docker before trying out Querybook.
Pull this repo and run make. Visit http://localhost:10001 when the build completes.
For more details on installation, click here
For infrastructure configuration, click here For general configuration, click here
- Presto
- Hive
- Druid
- Snowflake
- Big Query
- MySQL
- Sqlite
- PostgreSQL
- and many more...
- User/Password
- OAuth
- Google Cloud OAuth
- Okta OAuth
- GitHub OAuth
- Auth0 OAuth
- LDAP
Can be used to fetch schema and table information for metadata enrichment.
- Hive Metastore
- Sqlalchemy Inspect
- AWS Glue Data Catalog
Use one of the following to store query results.
- Database (MySQL, Postgres, etc)
- S3
- Google Cloud Storage
- Local file
Upload query results from Querybook to other tools for further analyses.
- Google Sheets Export
- Python export
Get notified upon completion of queries and DataDoc invitations via IM or email.
- Slack
Query Editor
Charting
Scheduling
Lineage & Analytics
See CONTRIBUTING.