Sherloq is a collaborative SQL repository that centralizes query management across teams. It builds a smart SQL layer from actual work by saving queries, versioning them, and organizing them into a searchable knowledge base. The platform integrates with existing editors and data tools like BigQuery, Athena, Looker, and Tableau, allowing users to save and manage queries directly from their workspace. An AI assistant learns from your team's SQL style and context to help generate queries, fix syntax errors, and modify existing logic all based on your organization's specific naming conventions and business logic rather than generic patterns.
Cuts data asset search time by up to 70%
AI generates SQL using your team’s conventions
Works on top of existing editors, no direct DB integration needed
SOC2 compliant, no access to your data or metadata
Requires teams to actively save and maintain queries for the AI to build effective context
Effectiveness depends on existing SQL documentation quality and team adoption of the platform
No standalone data warehouse relies on integration with external query editors and data tools
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