Databricks · Snowflake
Databricks to Snowflake
Your tables and views land in Snowflake, and the SQL is rewritten in Snowflake's dialect.
Boreon MCP Layer · Migrations
Databricks to Snowflake. Or Snowflake to Databricks.
The Boreon MCP Layer lifts and shifts your tables, views and SQL between the two warehouses, in whichever direction you need, and rewrites the SQL for the other dialect as it goes. When it is done, one semantic layer sits over both, so your people keep asking their questions the way they always have.
Databricks Tables, views and SQL Snowflake
What moves across.
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Your tables
They move across to the other warehouse, in either direction.
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Your views
They come too, with the SQL behind them rewritten for the other side.
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Your SQL
Translated between the Databricks and Snowflake dialects, so it runs where it lands.
Both directions, one layer.
Snowflake · Databricks
Snowflake to Databricks
Your tables and views land in Databricks, and the SQL is rewritten for Databricks SQL.
Afterwards, the same layer sits over both.
Once the move is done, the one semantic layer covers both warehouses and the LLM portal serves both. Anyone can keep asking in plain words, wherever the data now lives.
Coming from Tableau as well?
The same layer moves Tableau Server or Tableau Cloud to either warehouse: AI/BI dashboards on Databricks, Streamlit in Snowflake apps on Snowflake.
Which Tableau dashboard would you move first?
Start there. It becomes the first thing we move, checked number by number against Tableau, and the portal it lands in stays yours.