Your data. Your warehouse. No middleman.
Vault delivers the same cannabis market data that powers Headset's analytics — directly into your Snowflake account via Secure Data Sharing. No ETL, no pipelines, no copies. The data stays in Snowflake and updates automatically.
Vault is organized into three products, each tailored to a different use case:
|
Your stores, your data Transaction-level sales, customer profiles, product catalog, and inventory for retailers who want full access to their own operational data. |
Brand sell-through at retail See how your products move through retail partners — sales, inventory, batches, and METRC package tracking for brands and distributors. |
The whole market Aggregated, anonymized market data — category trends, brand benchmarking, pricing intelligence, and package size analysis across all tracked markets. |
1. Accept the share — Your Headset onboarding team will share a database to your Snowflake account. Accept it and give it whatever name you like. Don't have a Snowflake account? No problem — we can provision and manage one for you.
2. Connect — Use any Snowflake-compatible tool: SQL worksheets, Python, BI platforms, dbt, or anything else that speaks SQL. See Snowflake Basics for connection examples in Python, Node.js, C#, Go, and Rust.
3. Query — All data is in secure views, ready to SELECT immediately. Check the sample queries in each product section for a head start.
Vault data lives in Snowflake, so it works with any tool that has a Snowflake connector — no extra setup required.
-- Top 10 products by revenue this month (Retailer)
SELECT
PRODUCT_NAME,
BRAND,
CATEGORY,
SUM(REVENUE) AS total_revenue,
SUM(QUANTITY) AS total_units
FROM SALES
WHERE SOLD_DATE >= DATE_TRUNC('MONTH', CURRENT_DATE)
GROUP BY PRODUCT_NAME, BRAND, CATEGORY
ORDER BY total_revenue DESC
LIMIT 10;| Resource | Description |
|---|---|
| Snowflake Basics | Connection setup, authentication, and language-specific examples |
| Glossary | Definitions of key terms used across Vault |
| Headset Support | Help center for Headset products |
Built with care by the Headset team