Honeydew

Honeydew's semantic layer for AI and BI helps data teams create a shared source of truth for business logic on their Snowflake data

Pricing model

Paid

Rating

★ People love it

Time to value

Long Setup (> 1 day)

You can use Honeydew to create a semantic layer that sits between your data warehouse and all your business intelligence tools and AI systems. It compiles business logic into governed SQL that ensures every query, metric, and AI agent instruction follows the same definitions. Data teams can define metrics once and have them work consistently across Tableau, Power BI, Slack chatbots, and autonomous AI agents. The tool processes data inside your existing data warehouse while maintaining security through role-based access controls and version control through Git.

What Honeydew does

Define business metrics once for all tools to useCompile natural language questions into governed SQLSet up role-based access controls for data securityVersion control semantic layer changes through GitMonitor data lineage and metric dependenciesCreate guardrails for AI agent data operationsIntegrate with existing BI tools and data warehouseConfigure user identity propagation across systemsCompiles business logic into governed SQL automaticallyMaintains 100% consistency across all BI tools and AI agentsProcesses data inside your existing data warehouseSupports natural language queries in SlackProvides version control through Git integrationEnforces role-based access controlsCreates semantic memory for AI agentsEliminates semantic drift between tools