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Querybook

Free#21 of 31 in SQL Query Tools

Querybook: A self-hosted SQL workspace for collaborative querying, notebooks, visualization, and lineage. Ranked #21 of 31 in SQL Query Tools by our editors (6.9/10); pricing: Open source; best for collaborative self-hosted analytics querying.

6.9/10Editor score

Visit Querybook

Querybook6.9 Visit Querybook

At a glance

Editor score
6.9 / 10
Pricing
Open source
Best for
Collaborative self-hosted analytics querying
Paid from
Free
Facts checked
20 Sep 2026

Where it wins
- Collaborative SQL editing with notebooks, charts, and sharing
- Supports major engines including Snowflake, BigQuery, Presto, and PostgreSQL
- Adds lineage, documentation, scheduling, plugins, and optional AI assistance
Where it doesn't
- Deployment is managed within your organization’s infrastructure
- AI features require an optional plugin and LLM provider configuration
- Its feature set is aimed primarily at engineers and data scientists

Our verdict on Querybook

Querybook is Pinterest’s open-source big data IDE for engineers and data scientists who need to discover, create, and share SQL analyses. It runs as a web application in self-hosted infrastructure and combines a SQL editor with autocompletion and syntax highlighting, notebook-style DataDocs, charts, scheduled updates, collaboration, lineage, analytics, and table documentation. The result is a workspace that connects querying with the surrounding work of explaining, reviewing, and sharing data.

Its strongest fit is an organization that wants broad query-engine coverage without separating SQL work from documentation and visualization. Querybook supports Presto, Hive, Druid, Snowflake, BigQuery, MySQL, SQLite, PostgreSQL, SQL Server, and Oracle. It also connects with S3, Google Cloud Storage, Google Sheets, Slack, and email. The plugin system extends query engines, exporters, notifiers, and other capabilities, giving teams a way to adapt the environment to their infrastructure. Scheduled DataDoc updates and query lineage add useful structure for recurring analysis and understanding how data work relates across a team.

Deployment and configuration are the main considerations. Querybook is designed to run in an organization’s infrastructure using Docker or Kubernetes, so it suits teams prepared to manage a self-hosted web application rather than buyers seeking a fully managed service. Optional AI capabilities include title generation, text-to-SQL, SQL fixing, and SQL completion, but they require an AI plugin and configuration with an LLM provider. Choose Querybook if collaborative, extensible, self-hosted analytics is the priority; consider a different category fit if you need a hosted-first workflow with minimal infrastructure ownership.

Your product? Our editors can test Querybook in depth and publish a review, labelled as paid · from $149/mo →

Querybook pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.

See plans on querybook.org

Querybook fact sheet

Free plan	Not verified
Paid from	Free
Query history retention	Not verified
Scheduled queries	Yes
Team query sharing	Yes
SQL notebooks	Yes
AI query assistance	Yes
Deployment options	Self_hosted
Deployment	Self-hosted
Platforms	Web
Support	Email, Community, Docs
Built for	Small business, Mid-market, Enterprise (editorial estimate)
Integrations	17 integrations: Presto, Hive, Druid, Snowflake, BigQuery, MySQL … See all →
Pricing	Open source
Website	querybook.org
Facts checked	20 Sep 2026

Querybook integrations

Querybook lists 17 integrations on its own site.

Presto
Hive
Druid
Snowflake
BigQuery
MySQL
SQLite
PostgreSQL
SQL Server
Oracle
S3
Google Cloud Storage
Google Sheets
Slack
Email
OAuth
LDAP

See all Querybook integrations →

Alternatives to Querybook

See all Querybook alternatives →

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Featured on iTechGuides

Querybook is listed in our SQL Query Tools directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update