Boreon MCP Layer · Migrations
Our Tableau migrations start on Tableau Server or Tableau Cloud and end on your warehouse's own tools. On Databricks, dashboards become AI/BI dashboards with Genie built in, fed by materialized views. On Snowflake, they become Streamlit in Snowflake apps fed by dynamic tables. Already on Databricks or Snowflake? We'll lift and shift you from one to the other, in either direction.
From Tableau Server or Tableau Cloud
Dashboards become AI/BI dashboards with Genie built in. Prep flows become materialized views.
See how it works
From Tableau Server or Tableau Cloud
Dashboards become Streamlit in Snowflake apps. Prep flows become dynamic tables.
See how it works
A Tableau migration starts on your Tableau Server or Tableau Cloud site. Here is where each piece ends up.
| On Tableau | On Databricks | On Snowflake |
|---|---|---|
| Dashboards | AI/BI dashboards, with Genie built in | Streamlit in Snowflake apps |
| Prep flows (.tfl) | Materialized views | Dynamic tables, or a materialized view where Snowflake allows one |
| Published data sources (.tds) | The Unity Catalog tables the data already sits in | The Snowflake tables the data already sits in |
| Measures, colors and number formats | The same, down to dual axes | The same, down to marks and sort order |
| Filters | The same filters, on the dashboard | Live selectors in the app |
| Sign-in and roles | SSO roles carried through, no second sign-in | Key pair, OAuth, or each person through Snowflake OAuth |
A workbook and the Prep flow behind it move together. The table or view is built and checked first, then the dashboard is rebuilt on top of it. Nothing is published until every sheet checks out.
Plans change, and sometimes the warehouse does too. The Boreon MCP Layer lifts your tables, views and SQL from Databricks to Snowflake, or from Snowflake to Databricks, and rewrites the SQL for the other dialect as it goes. Afterwards the same semantic layer sits over both warehouses, so your people keep asking their questions the way they always have.
Databricks Tables, views and SQL Snowflake
Start there. It becomes the first thing we move, checked number by number against Tableau, and the portal it lands in stays yours.