The semantic layer for AI+BI

Let your AI agents and your BI tools speak the same language, controlled by the data team.

It does not matter if they use Excel, Power BI, AI or any other BI tool. Everyone gets the same answer ”

KARTIK PILLAI

Director of Data & Analytics

We're now able to get to the data we need faster, eliminating repetitive SQL coding and empowering our teams. This foundation is a key enabler for our AI initiatives. ”

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Alex Trehubenko

AI Engineer

Honeydew is a shared source of truth that keeps up

Your business users use spreadsheets, dashboards, notebooks and chatbots. They look at hundreds of metrics across thousands of dimensions. With Honeydew, data teams build business logic that is consistent everywhere.

The biggest win for our users is how easy it is to get data for any question in a consistent and safe way - just type it in plain English in Slack. With Honeydew, our team workflow is now streamlined around providing a shared data model, instead of ad-hoc requests. ”

E-Commerce in the

Director,

Data Engineering

source of truth for self-serve data

Your data teams standardizes in Honeydew the metrics, dimensions and metadata your business users care about. Any user with any tool can use it freely.

Source of truth for AI analysts

Your data teams can free users to chat with data without fearing errors. The semantic layer is the way to define business context for AI.

Supercharge your Snowflake

Your data is on Snowflake. Your business logic can be too. Get rid of silos, optimize your cost and let your data team move faster with a shared source of truth.

SQL will never die

We believe that semantics should live in the data warehouse. A shared truth starts with a shared language – for people, for tools, for data transformation. We build a semantic layer with SQL at its heart.