MindCloud connects Azure SQL and Microsoft SQL so a workflow can turn work in one system into governed updates in the other.

It can use Query and Select from Azure SQL, combine them with Query and Select from Microsoft SQL, and run the handoff inside Gravity.

Partly. MindCloud can read from Azure SQL and Microsoft SQL, with write-backs focused on Azure SQL where the connector exposes changes.

For Microsoft SQL, the workflow should treat the connector as a source of grounded data unless a writable action is available.

Azure SQL exposes actions such as Query and Select. MindCloud uses those operations to pick up the records, events, or API responses that belong in Microsoft SQL, then maps only the fields your workflow needs.

Microsoft SQL exposes actions such as Query and Select. Those actions can create the notification, record update, lookup, or handoff step that should happen after Azure SQL data enters the workflow.

The mapping is explicit. MindCloud takes the fields your process needs from Azure SQL, transforms them when formats differ, and sends the approved values into Microsoft SQL.

Validation, defaults, and branching live in the workflow instead of being hidden in one-off scripts.

It can. A workflow can branch when required data is missing, route an approval before writing to the next app, or send a review step through Microsoft SQL when its connector supports it.

Failed handoffs stay visible in Gravity for correction and replay.

MindCloud uses Gravity, our integration platform. Gravity provides the connector layer, authentication handling, field mapping, workflow steps, retries, and operational visibility needed to run a Azure SQL and Microsoft SQL integration without maintaining brittle custom glue code.

No. MindCloud can fully manage this for you using Gravity, our integration platform. Our team scopes, builds, tests, launches, and maintains your Azure SQL and Microsoft SQL integration end to end.

You bring the requirements and system access, and we handle the mapping, edge cases, and upkeep as those systems change.

Tell us which systems need to talk to Azure SQL and Microsoft SQL, and what should happen between them. Our team will map it out, build it, and run it for you.

Talk to us to get started.