HoneydewThe home for shared data logic

Honeydew - Semantic Layer on Snowflake

The Only Semantic Layer Native to Snowflake

Key Features

• Consistent Business Metrics: Ensure core business metrics like Active Users, Churn, and Revenue are consistent and reusable anywhere.
• Standardize Metrics: Reduce analytics engineering by standardizing metrics.
• Automated Technical Work: Automate deployment, model building, pre-aggregation, metadata sharing, and BI support.
• Self-Serve Culture: Enable teams to move fast with consistency and validity.
• Centralized Data Truth: Provide a centralized source of data truth for data engineers and analysts.
• SQL-Centric: Build a semantic layer with SQL at its heart.

Use Cases

• For Business Intelligence (BI): Solve BI limitations and ensure consistent metrics across the organization.
• For Large Language Models (LLM): Trustworthy LLM integration with consistent data.
• For Analysts: Empower analysts with a reliable source of truth and reduce dependency on engineering.
• For Engineers: Allow engineers to focus on high-value tasks rather than data plumbing.
• For Organizations: Optimize costs, eliminate silos, and free up team resources.

Pricing

Honeydew offers flexible pricing plans tailored to your organization's needs. Contact us for detailed pricing information and to find the best plan for your team.

Teams

Honeydew is designed for collaborative teams, enabling seamless cooperation between data analysts, engineers, and business users. By providing a shared source of truth, Honeydew ensures that everyone in the organization can rely on consistent and accurate data.

Get started with Honeydew today and supercharge your Snowflake experience!