Honeydew is a Semantic Layer built on top of Snowflake. Honeydew makes sure that any business metric, such as MRR, Churn, or Daily Active Users, can be defined once and calculated the same way for every consumer. How does it work: Customer onboards with Honeydew and sets up their account (find more details here ).
Customer imports their existing semantics into Honeydew. g. g.
dbt models, SQL queries or stored procedures code), or just be newly created on top of existing tables in Snowflake. The semantics can be consumed in a number of ways: A JDBC proxy, that can support any BI tool, send queries to the Honeydew Semantic Layer. Honeydew will translate these queries to the actual Snowflake queries.
Snowflake will execute these queries and the results will be provided back to the BI tool. Creating dynamic datasets based on the semantics. Each dataset can be then deployed to Snowflake, as a view or a table, or exported as a a dbt model.
Querying the semantics directly from within Snowflake, using the table functions and procedures provided with the Honeydew Native App.
Intelligence Score
19/100
Your Rating
Platforms
1
Domain
honeydew.ai
Data Quality SignalsD
Freshness
Single-source
API Status
No API
Completeness
Compliance (vendor-reported)
SOC 2
ISO 27001
GDPR
CCPA
Quality Breakdown
Data Coverage20
Documentation75
Compliance0
Pricing Clarity0
Signal Analysis
Categories
360-Degree Customer ViewAnalytics ToolsCustomer OnboardingMachine LearningRegulatory Reporting
Listed On
snowflake_marketplace
Intelligence Scores3/7 pillars scored
Market Presence
16
Integration
20
Business Maturity
3
Extended Analytics
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About Honeydew
Honeydew is an alternative data vendor. Honeydew specializes in 360-degree customer view, analytics tools, customer onboarding, machine learning, regulatory reporting data. This vendor has a Vedex Intelligence Score of 19 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
Data Categories
Honeydew operates in the following alternative data categories.
360-Degree Customer ViewAnalytics ToolsCustomer OnboardingMachine LearningRegulatory Reporting