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

It can use published connector actions from Transform, combine them with Query and Select from Microsoft SQL, and run the handoff inside Gravity.

Mainly reading. MindCloud can use Transform and Microsoft SQL data as workflow inputs, then route the results through the connected systems that expose write actions.

That keeps the integration honest about what each published connector can change.

Transform exposes actions such as published connector actions. 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 Transform data enters the workflow.

The mapping is explicit. MindCloud takes the fields your process needs from Transform, 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 Transform 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 Transform 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 Transform 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.