Honeydew.ai: Unifying Data Intelligence with a Smart Semantic Layer

Honeydew.ai is a powerful semantic layer platform designed for data teams and business users to establish a consistent, governed, and high-performance source of truth for metrics, dimensions, and metadata across AI and Business Intelligence (BI) tools. By enabling natural language queries via Slack and integrating seamlessly with platforms like Snowflake, Power BI, Tableau, and Jupyter, Honeydew empowers organizations to democratize data access while maintaining control, accuracy, and scalability. Built on SQL and YAML with Git as the source of truth, it supports versioned experimentation, lineage tracking, and secure access—all backed by SOC 2 Type II compliance.

Key Features:

• Semantic Layer for AI & BI: Centralizes business logic to ensure consistent metric definitions across tools.
• Natural Language Querying: Allows users to query data in plain English through Slack, making analytics accessible to non-technical teams.
• Snowflake-Optimized Performance: Automatically uses Snowflake as a cache to boost query speed and reduce costs.
• Cross-Tool Integration: Supports live connections and data import with Power BI, Tableau, Looker, Excel, Jupyter, Python, and over 20 other BI and data platforms.
• Versioned Data Modeling: Leverages Git for version control and enables local experimentation before team-wide approval.
• Metadata & Lineage Management: Provides full visibility into metric composition, usage patterns, and creator trustworthiness.
• AI-Ready Architecture: Ensures AI agents query data using accurate, business-aligned logic and generates high-performance SQL on the fly.
• Secure & Compliant: SOC 2 Type II certified with robust access control, audit trails, and support for SAML SSO (Enterprise tier).
• Migration Support: Offers guides for transitioning from SQL and DAX to Honeydew’s semantic layer.
• Flexible Deployment: Integrates via Snowflake Native App, SQL interface, GraphQL API, and metadata sync for catalogs and documentation.
• Scalable & Controlled: Tracks active objects and users with transparent billing, including volume discounts and overage options.
• Developer & Analyst Empowerment: Eliminates repetitive SQL coding and streamlines workflows for analytics engineers and data teams.

Pricing: Honeydew.ai offers a 30-day free trial with unlimited access, dedicated support, a training session, and up to 4 hours of data modeling guidance. After the trial, pricing is structured in three tiers: Lite at $20/user/month, Standard at $30/user/month, and Enterprise with custom pricing. Platform fees start at $500/month for Lite and $2,000/month for Standard, based on active objects. Annual commitments unlock volume discounts, while overage is billed at the subscription rate. The Enterprise tier includes private deployment, SAML SSO, user identity propagation, and custom SLA.

Conclusion: Honeydew.ai is a transformative data platform that bridges the gap between data teams and business users, enabling faster, more accurate, and secure analytics through a unified semantic layer—ideal for organizations aiming to scale data-driven decision-making with confidence.