Honeydew Data Analysis: $75K Raised
What is Honeydew Data?
Honeydew provides a semantic layer for enterprise AI and business intelligence. It centralizes business logic, metrics, entities, relationships, and access rules so queries compile against governed warehouse data. The company says its semantic compiler generates correct SQL, joins, filters, and context for BI tools and AI agents.
Location
Tel Aviv-Yafo, Israel
Employees
11-50
Founded
2022
Revenue
$1.5M
Business Model
Tiered subscription pricing based on user count and platform fees.
Product Features & Capabilities
- semantic layer for Snowflake, shared source of truth for business metrics, solutions for BI limitations, AI context setting, standardization of metrics and dimensions, enabling self-serve data access, facilitating error-free data interaction for AI analysts
Pricing
- Lite: $20/user/month, up to 50 users, platform fee from $500/month, includes one BI integration, natural language interface, full modeling capabilities, Snowflake native app, GitHub integration, SSO with Google, SOC 2 Type II compliance.
- Standard: $30/user/month, up to 50 users, platform fee from $2000/month, includes everything in Lite plus unlimited BI integrations, Power BI service, aggregate aware caching, GitLab and BitBucket integration, Microsoft Entra integration, SSO with Microsoft and Okta, enterprise support.
- Enterprise: Custom pricing, tailored to scope and requirements, includes everything in Standard plus reduced cost limited users, user identity propagation, other SAML SSO, private deployment, custom SLA.
How much Honeydew Data raised
Nov 9, 2023 - $75,000
Lead Investor: Arch Grants
Who are the founders of Honeydew Data
Market Focus
Honeydew Data primarily focuses on the data analytics and business intelligence industry, specifically providing a semantic layer for data management within the Snowflake ecosystem. This enables organizations to maintain consistent and reusable business metrics across various tools.
Investors
- Y Combinator
- Atooro Fund
- Davidovs Venture Collective
- Honey Stone VC
- Rebel Fund
- Arch Grants
Competitors Overview
Honeydew Data operates in the semantic layer market, particularly as a solution integrated with Snowflake. Its main competitors include:
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Metricflow: This company offers a semantic layer that focuses on simplifying data access and ensuring consistency across various analytics tools. Metricflow emphasizes ease of use and integration with existing data workflows, which can be an advantage for teams looking for quick deployment.
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Cube: Cube provides a semantic layer that allows users to define metrics and dimensions in a centralized manner. Its strength lies in its ability to integrate with multiple data sources and BI tools, offering flexibility that may appeal to organizations with diverse data environments.
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AtScale: AtScale specializes in providing a semantic layer that enables business intelligence and analytics on large datasets. Its notable advantage is its ability to handle complex data models and provide a unified view across various data sources, which can be beneficial for enterprises with extensive data architectures.
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Looker (part of Google Cloud): Looker uses LookML, a modeling language that allows users to define metrics and dimensions. Its integration with Google Cloud services and strong visualization capabilities can be a significant advantage for users already invested in the Google ecosystem.
Honeydew Data differentiates itself by being a native solution specifically designed for Snowflake, ensuring seamless integration and optimized performance within that environment. This focus on Snowflake may provide a more tailored experience for users who rely heavily on that platform.
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