
Honeydew
Honeydew is a paid semantic layer for enterprise data, combining business logic and context for AI interactions and BI queries.
What Honeydew is
Honeydew is a paid semantic layer for enterprise data, combining business logic and context for AI interactions and BI queries. It models entities, metrics, and relationships from tables and business knowledge, then generates SQL for data consumers. Slack users and MCP-connected agents can receive answers based on shared definitions with access rules applied. Applications can call SQL and GraphQL APIs, whose requests compile with those rules built in. BI tools use the shared semantic model, governance, and performance optimizations while operating on the data warehouse. Data engineers, analysts, and AI builders can collaborate in one workspace. Documented integrations include Tableau, Power BI, Looker, GitHub, GitLab, Bitbucket, and Azure DevOps. Processing occurs in customer-owned Snowflake, Databricks, or Google BigQuery accounts. Honeydew identifies itself as SOC 2 Type II compliant and says application connections use TLS 1.2 or later.
Good
- Shared semantic model for teams
- SQL and GraphQL APIs
- MCP access for agents
- Row-level access rules
- No stated query limits
Watch out
- Paid platform fees apply
- Enterprise pricing is custom
- Trial lasts 14 days
- Processing uses specified warehouses
Who it suits
Honeydew suits data teams building governed semantic models for BI, applications, and AI agents. It fits organizations using supported warehouses, integrations, and shared workspaces.
Verdict
Honeydew connects governed business definitions to BI tools, APIs, Slack, and MCP agents. Its tiered pricing, warehouse model, and access controls matter when evaluating an enterprise deployment.
Plans and prices
From Honeydew's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Lite | $20 a month | Up to 50 users · 100/250/500 active objects · 1 BI integration · $20/user/month; platform fee from $500/month |
| Standard | $30 a month | Up to 50 users · 250/750/1500 active objects · Unlimited BI integrations · $30/user/month; platform fee from $2000/month |
| Enterprise | Priced on request | Tailored to scope and requirements · Reduced cost limited users · Private deployment · Custom SLA · Custom |
The facts
Each one read from Honeydew's own pages, with the date it was checked.
What it does
- AI interfaces
- People using Slack and agents working over MCP can get answers compiled from shared definitions with access rules applied.checked 4 Oct 2026
- APIs
- Agents connect over MCP, while applications can call SQL and GraphQL APIs; requests compile with access rules built in.checked 4 Oct 2026
- BI support
- Honeydew lets BI tools use a shared semantic model, governance, and performance optimizations while operating on the data warehouse.checked 4 Oct 2026
- Collaboration
- Data engineers, analysts, and AI builders can contribute to the same semantic model in a shared workspace.checked 4 Oct 2026
- Integrations
- Documented integrations include Tableau, Power BI, Looker, GitHub, GitLab, Bitbucket, and Azure DevOps.checked 4 Oct 2026
- Metadata storage
- Customer metadata managed by Honeydew is stored in a private Git repository owned by the customer.checked 4 Oct 2026
- Ongoing support
- All tiers include product support during business hours with response SLAs based on issue severity.checked 4 Oct 2026
- Product
- Honeydew unifies business logic and context into a semantic layer for enterprise data, intended to support consistent AI interactions and BI queries.checked 4 Oct 2026
- Query limits
- The pricing FAQ says there are no query limits, though Enterprise contracts may include query-limited users.checked 4 Oct 2026
- Security
- Honeydew says application connections use TLS 1.2 or later and identifies itself as SOC 2 Type II compliant.checked 4 Oct 2026
- Semantic modeling
- It models entities, metrics, and relationships from tables and business knowledge, and generates SQL for data consumers.checked 4 Oct 2026
- Warehouses
- Security documentation names Snowflake, Databricks, and Google BigQuery as customer-owned warehouse accounts where data processing occurs.checked 4 Oct 2026
Money
- Trial support
- The 14-day trial includes system access, support through a dedicated Slack or Teams channel, a training session, and up to four hours of data modeling guidance.checked 4 Oct 2026
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