Common questions
Answers to the questions we get most often about SnowCreator.
Where does my data live?
SnowCreator is a Snowflake Native App. Your data never leaves your Snowflake account — it stays inside the same governance and compute boundary you already trust.
Does this work with Snowflake Postgres?
Yes. It is on the roadmap that SnowCreator will work with both native Snowflake tables as well as Snowflake Postgres tables. Support for Snowflake Stages (unstructured files) is also being planned.
How is usage measured?
By number of tables setup in SnowCreator on a sliding scale. The more tables, the cheaper per table.
Can this not be developed internally with CoCo?
AI Engineering could be useful to get you 80–90% of the way, but the last 10–20% could potentially trip you over. There are some deep infrastructure aspects to understand well. So you could certainly use AI Engineering, by all means, if you have the team and the skills. However, in many scenarios a bespoke developed app would be overkill. Use SnowCreator if you want a solution in minutes that is robust and battle tested (or use a combination: start with SnowCreator to get you going immediately, while building a bespoke solution). SnowCreator will also be faster and cheaper to maintain or extend the app tables, as compared to alternatives such as a bespoke developed CoCo app.
Additionally, SnowCreator also acts as a central 'point-of-entry' for CRUD apps, APIs and MCP servers. Manage the risks and sprawl of 'Shadow AI developed apps'.
(For some use cases, it might make sense to, for example, use the Snowflake App Runtime with CoCo. If this is the case, let us know. We can assist with this as well. We understand deeply all the required technology pieces of the solution.)
SnowCreator is a complete meta-data CRUD framework that works on all selected tables (and relationships between tables) immediately as compared to a solution for specific 'hard-coded' tables and SQL commands. A complete Meta Data Driven CRUD framework requires more knowledge and understanding and development time even when using AI Engineering.