Honeydew
Honeydew is a semantic layer platform that unifies business logic across BI tools and AI agents. Founded in 2022, the company serves enterprise data and analytics teams through a deterministic SQL compiler, tiered SaaS subscriptions, and a Snowflake Native App.
- Company typePrivate
- Founded2022
- HeadquartersTel Aviv-yafo, Israel
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Honeydew does
Honeydew is a semantic layer platform company founded in 2022 that enables enterprises to unify business logic, metrics, and definitions across BI tools and AI agents. The platform's core technology is a Semantic Compiler that deterministically generates governed SQL from semantic definitions rather than relying on probabilistic text-to-SQL generation, with an Agentic Semantic Memory supporting multi-step AI analysis and MCP-based integration for external AI agents. Product modules include Modeling, Collaboration (Git-based version control with PR workflows), Access Control (domain-scoped governance with identity propagation), BI Integration (Tableau, Power BI, Looker, ThoughtSpot, Superset, Domo, QuickSight, Lightdash, Excel), and AI interfaces (Slack, Teams, MCP). Deployments run natively inside customer data warehouses — primarily Snowflake as a Native App, with Databricks and Google BigQuery also supported — processing data with the customer's own LLM provider so information does not leave the customer's environment.
The company serves enterprise data and analytics teams, BI teams, and AI-first organizations across verticals including food service and food distribution (Pizza Hut, Vermont Information Processing). Honeydew monetizes through tiered subscription SaaS: a Lite tier at $20 per user per month with a $500 per month platform fee (up to 50 users, 100-500 active objects), a Standard tier at $30 per user per month with a $2,000 per month platform fee (250-1,500 active objects, unlimited BI integrations, enterprise support), and a custom Enterprise tier offering identity propagation, SAML SSO, private deployment, and custom SLAs. Distribution combines direct enterprise field sales, a 14-day self-serve trial with dedicated support and modeling guidance, and a Snowflake Marketplace Native App channel. The company holds SOC 2 Type II certification and is backed by Snowflake Ventures, Y Combinator, Arch Grants, ATOORO FUND, Tal Ventures, Davidovs Venture Collective, and Rebel Fund, operating from Israel with a Delaware-incorporated parent entity.
Honeydew firmographics
Firmographics- Name
- Honeydew
- Legal name
- Honeydew Data, Inc.
- Website
- https://honeydew.ai
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Honeydew is a semantic layer platform that unifies business logic across BI tools and AI agents. Founded in 2022, the company serves enterprise data and analytics teams through a deterministic SQL compiler, tiered SaaS subscriptions, and a Snowflake Native App.
- Ownership category
- akta.pro rank
Honeydew industry classification
Industry- Product category
- Semantic Layer Platform / Enterprise Data Infrastructure
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Semantic Layer, Metrics Store & Headless BI (HDAEAMAE)
- akta.pro secondary industries
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD), Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights) (HDAEAMAD)
Keywords
Where Honeydew is headquartered
LocationHeadquarters
- HQ city
- Tel Aviv-yafo
- HQ country
- Israel
- HQ region
- Middle East
Offices2 records
Markets served
Honeydew business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription SaaS - Lite Tier: User-based subscription with platform fee. Lite tier at $20/user/month with $500/month platform fee, supporting up to 50 users and 100-500 active objects. Includes one BI integration, natural language interface, full modeling capabilities.
- Subscription SaaS - Standard Tier: User-based subscription with higher platform fee. Standard tier at $30/user/month with $2000/month platform fee, supporting 250-1500 active objects. Includes unlimited BI integrations, aggregate aware caching, enterprise support.
- Subscription SaaS - Enterprise Tier: Custom pricing for organizations requiring scale or specialized functionality. Includes reduced cost limited users, user identity propagation, private deployment, custom SLA.
- Volume Discounts: Volume discounts provided upon annual commitment. Overage consumption charged based on subscription tier without volume discounts.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Lite: $20/user/month + $500/month platform fee for up to 50 users, 100-500 active objects |
| Subscription | Monthly | Standard: $30/user/month + $2000/month platform fee for 250-1500 active objects |
| Subscription | Multi-year contract | Enterprise: Custom pricing tailored to scope and requirements |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels4 records
Honeydew product offering
Product offeringCore offering
Honeydew is a semantic layer platform that compiles governed SQL from business logic definitions, bridging data warehouses (Snowflake, Databricks, Google BigQuery) with AI agents and BI tools. It allows organizations to define metrics, entities, and relationships once and reuse them across Tableau, Power BI, Looker, Slack, Microsoft Teams, and MCP-enabled AI agents. The platform processes data inside the customer's warehouse using their own LLM provider, ensuring governed, consistent answers for both BI dashboards and AI-driven analytics.
Product overview
Honeydew is a semantic layer platform for AI and BI that enables organizations to unify business logic and context across all data tools and AI agents. The platform consists of Honeydew Modeling for building semantic data models with AI assistance, Honeydew Collaboration for team-based version-controlled development, Honeydew Access Control for governance and security enforcement, and the Honeydew Semantic Compiler as the core engine that compiles queries from governed definitions. Honeydew AI provides natural language interfaces via Slack, Teams, and MCP for AI agents, while BI Integration connects the semantic layer to all major BI tools including Tableau, Power BI, Looker, and others. The platform is available in Lite ($20/user/month), Standard ($30/user/month), and Enterprise (custom) pricing tiers, with integrations to Snowflake, Databricks, BigQuery, dbt, and various identity providers.
Differentiator
Problem solved
Functional benefit
Products and services
- Honeydew Modeling Visual and code-based interface for building semantic layer data models. Enables data teams to define entities, relationships, metrics, and business context using AI coding agents (Claude, Codex, Copilot) or directly in code. Transforms warehouse tables and tribal knowledge into governed business logic.
- Honeydew Collaboration Collaborative workspace for semantic layer development. Enables data engineers, analysts, and AI builders to contribute to the same model with version control, pull requests, approvals, automated checks, full history, and rollback support. Integrates with Git providers and CI/CD pipelines.
- Honeydew Access Control Governance and security layer enforcing access rules through the data warehouse. Features domain-scoped governance layers, RLS policy enforcement, user identity propagation, and connection to identity providers. All processing occurs within the customer's cloud environment using their own LLM and authentication providers.
- Honeydew Semantic Compiler Core engine that compiles every query, metric, and agent instruction from governed business logic. Generates deterministic, correct SQL for any data consumer. Powers both BI tools and AI agents from the same semantic definitions, ensuring 100% consistency without sacrificing flexibility.
- Honeydew AI Natural language AI interface enabling users and agents to query data conversationally. Supports Slack, Microsoft Teams, embedded APIs, and MCP for external AI systems. Multi-step analysis with shared semantic memory ensures AI reasons correctly across complex analytical questions.
- Honeydew BI Integration Integration layer connecting the semantic layer to all major BI tools including Tableau, Power BI, Looker, ThoughtSpot, Superset/Preset, Domo, Amazon QuickSight, and Lightdash. Enables dynamic live queries, automatic performance optimization via aggregate awareness, and shared metric definitions across all BI tools.
- Honeydew Studio Unified platform interface for semantic layer management, modeling, and data exploration. Supports multi-modal development — semantics can be edited in code by engineers, in UI by analysts, or via API.
- Honeydew Semantic Layer — Snowflake Native App Snowflake Native App version of the Honeydew Semantic Layer, enabling Snowflake customers to install and run the platform natively inside their Snowflake environment. Provides business metadata, query generator, management APIs, and SQL-based access via HONEYDEW_APP.API.GET_SQL and HONEYDEW_APP.API.RUN_SQL functions.
Quantifiable outcome
- Reduced report delivery time by 4 hours, cut development time by 50%, lowered costs by 30%
Companies that use Honeydew
Customer profileNamed customers2 records
Segments3 records
Ideal customer profiles3 records
Honeydew technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration23 records
AI capability8 records
Feature9 records
Honeydew partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered strategic, core and secondary.
- Open Semantic Interchange (OSI)strategicHoneydew joined the Open Semantic Interchange initiative launched as an open source project to standardize semantic definitions and facilitate data interoperability. First working group meeting held October 17 with industry participants including AWS, Snowflake, Informatica and others. OSI aims to ensure definitions travel across different tools and vendors.
- SnowflakecoreDeep product integration. Honeydew is native to Snowflake, operating within Snowflake environments. Available as Snowflake Native App on Marketplace. Supports Snowflake Semantic Views as a semantic source. Processes data inside customer's Snowflake using customer's LLM provider.
- DatabrickssecondaryHoneydew integrates with Databricks as a data source, enabling semantic layer capabilities on Databricks environments alongside Snowflake support.
- Google BigQuerysecondaryHoneydew integrates with Google BigQuery as a data source, expanding multi-warehouse support beyond Snowflake.
- Microsoft (Power BI, Teams)secondaryHoneydew integrates with Microsoft Power BI for BI consumption and Microsoft Teams for AI chat interface. Also supports Microsoft Entra ID integration for SSO.
- TableausecondaryHoneydew integrates with Tableau as a BI tool target, enabling semantic layer queries from Tableau dashboards.
- LookersecondaryHoneydew integrates with Google Looker as a BI tool target, enabling consistent metric definitions for Looker users.
- dbtsecondaryHoneydew integrates with dbt for ETL/data transformation workflows, supporting the modern data stack.
- GitHub / GitLab / BitBucketsecondaryHoneydew integrates with Git providers for version control of semantic models. Changes are tracked through pull requests, approvals, and automated checks.
- Model Context Protocol (MCP)strategicHoneydew supports MCP for AI agent integration, enabling external AI systems to safely interact with data through Honeydew's semantic layer with built-in governance.
- LLM ProviderssecondaryHoneydew integrates with LLM providers (Claude, Codex, Gemini, etc.) for AI-powered semantic modeling and natural language interfaces. Customers use their own LLM provider.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Honeydew competitors and assessment
Company assessmentDirect peers
- Cube: Cube is a semantic layer platform that provides consistent metric definitions across BI tools and AI applications, with native integrations to data warehouses. It is the most direct head-to-head competitor to Honeydew in the standalone semantic layer category.
- dbt Labs: dbt Labs offers the dbt Semantic Layer as part of its data transformation platform, competing directly with Honeydew for enterprise metric governance budgets. dbt's massive installed base and strong brand make it the most formidable incumbent in the space.
- AtScale: AtScale is a semantic layer and metrics store platform serving enterprise BI and AI workloads on major data warehouses. It is a direct competitor to Honeydew, with similar focus on governed metric definitions for BI tools and AI agents.
Broad incumbents
- Looker (Google Cloud): Looker is Google Cloud's BI platform with its own semantic modeling layer (LookML). As a broad incumbent, it provides overlapping semantic layer capabilities as part of a larger BI platform, posing both partnership and competitive risk to Honeydew.
- Tableau (Salesforce): Tableau is a leading enterprise BI tool with its own semantic modeling capabilities. Honeydew integrates with Tableau as a downstream BI consumer, but Tableau's native semantic features represent adjacent competition for semantic layer budgets.
- ThoughtSpot: ThoughtSpot is an AI-driven analytics platform that integrates with Honeydew as a BI consumer. Its embedded AI/agent capabilities and semantic modeling features overlap with parts of Honeydew's value proposition.
- Microsoft Power BI / Fabric: Microsoft Power BI and the broader Fabric platform include semantic modeling features and DAX-based metric definitions that overlap with Honeydew's semantic layer value. As a broad incumbent, Microsoft bundles semantic capabilities into a wider analytics platform.
Emerging players
- Snowflake Semantic Views: Snowflake's Semantic Views feature (powered by Cortex Semantic Model) launched in 2025 as a native semantic layer inside the Snowflake data platform. It directly competes with Honeydew while also being integrated with it, creating both partnership and substitution dynamics.
- Sigma Computing: Sigma Computing is a cloud-native BI platform with spreadsheet-like interfaces and embedded semantic modeling. It competes for the same analytics budget and overlaps with Honeydew's metric-governance narrative.
- Hex: Hex is a collaborative analytics and data science platform with AI-powered querying features that overlap with parts of Honeydew's AI-for-data value proposition. It is an emerging player rather than a direct semantic layer competitor.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Honeydew social profiles
Digital presenceHoneydew compliance and trust
Trust signalCompliance1 record
Honeydew financial estimates
Financial estimateRevenue estimate
Valuation estimate
Honeydew leadership team
Management profileNumber of profiles
Profiles3 records
Honeydew funding detail
Funding detailFunding overview
Funding rounds5 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Honeydew M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Honeydew
What does Honeydew do?
Honeydew is a semantic layer platform that compiles governed SQL from business logic definitions, bridging data warehouses (Snowflake, Databricks, Google BigQuery) with AI agents and BI tools. It allows organizations to define metrics, entities, and relationships once and reuse them across Tableau, Power BI, Looker, Slack, Microsoft Teams, and MCP-enabled AI agents. The platform processes data inside the customer's warehouse using their own LLM provider, ensuring governed, consistent answers for both BI dashboards and AI-driven analytics.
Is Honeydew a public or private company?
Honeydew is a private company. It is classified as venture growth investor backed and is currently operating.
When was Honeydew founded?
Honeydew was founded in 2022. It employs 11 to 50 people.
Where is Honeydew based?
Honeydew is headquartered in Tel Aviv-yafo, Israel, in the Middle East region.
How does Honeydew make money?
Four revenue lines are on record. Subscription SaaS - Lite Tier is the primary driver. The others are subscription SaaS - Standard Tier, subscription SaaS - Enterprise Tier and volume Discounts.
Who are Honeydew's main competitors?
Direct peers on record are Cube, dbt Labs and AtScale. Broad incumbents are Looker (Google Cloud), Tableau (Salesforce), ThoughtSpot and Microsoft Power BI / Fabric. Emerging players are Snowflake Semantic Views, Sigma Computing and Hex.
Does Honeydew have an API?
Yes. Honeydew offers a GraphQL API for querying and consuming semantic layer data. The platform supports SQL API for BI tool integration, REST API for third-party application access, and MCP (Model Context Protocol) for AI agent integration. Native Snowflake App provides SQL-based access to semantic layer via HONEYDEW_APP.API.GET_SQL and HONEYDEW_APP.API.RUN_SQL functions, as well as LIST_ENTITIES and LIST_RELATIONS for metadata access. Authentication supports SSO with Google, Microsoft Entra, Okta, and SAML SSO. Enterprise tier includes user identity propagation for end-to-end security. Developer documentation is at honeydew.ai/docs.
What industry is Honeydew in?
Honeydew's product category is Semantic Layer Platform / Enterprise Data Infrastructure. Its primary akta.pro industry code is HDAEAMAE, Semantic Layer, Metrics Store & Headless BI, with a secondary code of HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 54151 and its SIC code is 7370.