Your company can interact with Snowflake using our 2 actions. Can’t find what you need? Let us know.
Execute SQL StatementReadSubmit an SQL statement for execution.
Execute SQL Statement With PaginationReadSubmit an SQL statement for execution.
Frequently Asked Questions
Common questions about working with MindCloud on your Snowflake integration.
An app is simply a tool your business already uses, like Snowflake, your online store, or your CRM.
An action is one thing MindCloud does inside that app, such as creating an invoice, updating a customer, or moving a record from one place to another.
You connect your apps, choose the actions you want, and MindCloud runs them automatically. That's it. No code, no spreadsheets, and no copying data by hand.
Yes. MindCloud can integrate Snowflake with our 3,100+ supported apps, including cloud data warehouses, data lakes, and BI and analytics tools (alongside the operational SaaS systems that feed them, such as CRMs, ERPs, and ad platforms).
If Snowflake needs to share data with another system, there is almost always a way to connect them.
Both. MindCloud can read data out of Snowflake and change records inside it, which means creating, updating, looking up, and removing the information your workflows depend on.
Whether you need data pulled from Snowflake into another system or pushed back into it, MindCloud handles the flow in both directions.
Snowflake exposes everything through SQL, so MindCloud reaches whatever your account holds.
On the data side that means tables, views, and materialized views, plus the databases and schemas that organize them and the warehouses that run the compute.
It also touches stages, streams, and tasks, and reads query results or writes row-level data through direct SELECT, INSERT, UPDATE, and MERGE.
Both directions run through the same connector, because every step executes arbitrary SQL.
The identical Execute SQL Statement action that runs a SELECT to read tables and views can also fire INSERT, UPDATE, DELETE, or MERGE to write back row-level data.
Read-only reporting connectors stop at the query; here writes are just another statement MindCloud builds and manages.
Large result sets get their own dedicated action, Execute SQL Statement With Pagination, which pages through the rows a Snowflake query returns instead of forcing everything into one response.
Single-shot query connectors tend to time out or truncate on big pulls; MindCloud builds the extract to walk the full result set page by page, so nothing gets dropped.
Absolutely, since arbitrary SQL is not limited to plain queries. A statement can CALL stored procedures, invoke user-defined functions, and run multi-statement transformations directly in your warehouse.
That lets MindCloud orchestrate in-warehouse logic as an integration step, kicking off Snowflake's own compute rather than only shuttling rows between systems.
MindCloud runs on an enterprise-ready integration platform called Gravity. Gravity is a low-code workflow builder that connects your applications together and moves data between them on a schedule, in real time, or on demand.
The Snowflake connector is one of Gravity's pre-built integrations, so you simply plug in Snowflake and start building rather than wiring up the API yourself.
No. MindCloud can fully manage this for you using Gravity, our integration platform. Our team scopes, builds, tests, launches, and maintains your Snowflake integration end to end.
You bring the requirements and system access, and we handle the mapping, the edge cases, and the upkeep as your Snowflake account and connected systems change.
Talk to an integration specialistWe work with you to understand your requirements and implement a robust Snowflake integration solution.
Read our docsOur Universal API makes it easier than ever to read, write, update and delete your records in Snowflake.
Get updatesFollow new app coverage, product launches, and practical integration notes from the MindCloud team.