Keep shared truth, true

A home for all shared data logic

Data Warehouse
Collaborative 
Semantic Layer
Data Tools
Data Warehouse
Collaborative 
Semantic Layer
Data Tools

Use a metric: we make sure it is right

Put a metric in a Tableau dashboard, a Jupyter notebook or just in an SQL VIEW. Honeydew makes sure it is the same everywhere with a shared source of truth.

customer_success_world

Build on a Metric: we update the data flows

Create reusable definitions of data sources and metrics. Honeydew maintains the relationships and the data transformations to support them.

1. Data Engineering

Map your source data and relations to granular entities, such as orders or events.

We can do it automatically for you, based on:

2. Data Analysts

Define logic elements such as metrics or attributes with SQL snippets.

You can reuse any calculation and build new metrics or attributes on top of it in a modular way.

3. Data Team

Establish domain-specific “worlds” of curated metrics and entities for data users.

Create a collaborative workflow that maintains trust (by applying version control, testing and review).
How it works

1. Data Engineering

Map your source data and relations to granular entities, such as orders or events.

2. Data Analysts

Define logic elements such as metrics or attributes with SQL snippets.

3. Data Team

Establish domain-specific “worlds” of curated metrics and entities for data users.

Access from any tool

Have the shared truth in all your favorite tools. Consume it with SQL or BI, use it in an ETL or directly in the data warehouse.

Honeydew's commitment to security

At Honeydew, we prioritize security from the start to ensure that your data is always protected. Honeydew is SOC 2 Type II compliant. We maintain industry-leading privacy standards, technology, and practices.

Please fill your details to book a demo and we will get back to you