HoneyDew

Honeydew, founded in 2022 by David Krakov, Baruch Oxman, and Liron Slonimsky-Shemy, provides a semantic layer for the Snowflake Data Cloud. The company is a graduate of the Y Combinator Winter 2023 batch and was a finalist in the Snowflake Startup Challenge. In 2023, Honeydew secured $500K in a seed funding round led by Y Combinator, with participation from other institutional investors like MK Venture Capital and Atooro. More recently, in July 2025, the company received an investment from Snowflake Ventures, highlighting a strategic partnership.

The founding team's collective experience in data-centric ventures was the catalyst for Honeydew. CEO David Krakov previously founded Varada, a data lake acceleration engine acquired by Starburst, and was an early employee at XtremIO. Baruch Oxman has over two decades of experience in software and was the first employee at Implisit, which was acquired by Salesforce. Liron Slonimsky-Shemy, a former scriptwriter, previously founded Awear, a company that provided fashion brands with data on how their garments were worn. Their shared frustration with inconsistent and unreliable data in their previous roles led them to create a solution.

Honeydew operates in the business intelligence and data analytics market, targeting data teams within organizations. The company's core product is a semantic layer that acts as a middleware between a company's data in Snowflake and various business intelligence (BI) and AI tools like Tableau, Looker, and Python. This layer provides a single source of truth by allowing data teams to define business logic and metrics once, which are then reusable across all platforms. The platform validates each change and automatically updates every data flow, ensuring consistency and integrity. By centralizing governance, Honeydew enables users to build data access and business metadata controls within Snowflake and apply them across all connected tools. The company has developed its solution as a Snowflake Native App, integrating it directly into the Snowflake web interface for seamless access. Honeydew's revenue model is based on its software-as-a-service (SaaS) platform.

The platform is designed to make complex data more accessible and consistent, translating raw data into business-friendly terms. A key feature is its semantic compiler, which translates ad-hoc user questions into correct and efficient Snowflake queries. This allows business users to ask their own questions using their preferred tools without needing to understand complex SQL or underlying data structures. For organizations using Microsoft's Power BI, Honeydew enables fast, direct queries on massive datasets. The platform also includes a set of AI agents, called Honeydew AI, that assist users in creating queries, answering metadata questions, and validating results, bridging the gap between data, users, and AI.

Keywords: semantic layer, Snowflake, data governance, business intelligence, data analytics, Y Combinator, data modeling, single source of truth, data metrics, BI tools, Power BI integration, Snowflake Native App, data validation, data transformation, AI analytics, data management, David Krakov, Baruch Oxman, Liron Slonimsky-Shemy