Deployments

Compare Salesforce orgs and deploy with confidence

Pick a source and a target org and get a classified diff. Every component marked new, changed, unchanged, or deleted with side-by-side differences. Then select exactly what to ship, validate it, and deploy it with the test level you choose.

A release has to move from a sandbox to production, and the only options are a change set or a DevOps platform nobody bought. Both orgs compared component by component. 5 items are picked — two new fields, two Apex classes and the component that uses them — and every one of them is New or Changed. The 283 marked "Only in target" are the other direction: things production has that the sandbox does not, which is usually somebody editing production directly.

What you can do

  • Source vs target comparison across the metadata types you choose — Apex, LWC, fields, record types, validation rules and more
  • Every component classified new / changed / unchanged / deleted, most recently modified first
  • Side-by-side content diffs for any component
  • Runs as a background job: start it, leave, come back
  • Select a subset from the diff and deploy it with your chosen test level
  • Validate first, then quick-deploy the passed validation without re-running tests
  • A package.xml manifest and content hash stored for every run

How it works

1

Pick source, target, and types

Sandbox → production, dev → UAT, any pair of connected orgs.

2

Read the classified diff

Colour-coded status per component with side-by-side changes — know exactly what drifted.

3

Validate, then deploy

Run a check-only validation to prove the package works, then deploy your selection. Production requires an explicit confirmation.

Why it's different

Deploy only what you ticked

Comparisons only ever read, so you can diff production all day without a second thought. Deploying is the opposite by design: owner/admin only, off entirely unless your deployment enables writes, every component checked against the comparison’s allowlist, a lock so two runs can’t hit the same target at once, and an explicit confirmation for production. The expensive DevOps suite behaviours, without the expensive DevOps suite.

Try asking

  • Verify a sandbox matches production before UAT starts
  • Find what changed in dev since the last release
  • Promote a reviewed set of components without a full DevOps platform
  • Validate a release against production, then ship the validation that passed
  • Keep an auditable manifest of everything that shipped

Deployments — questions

Yes. Production targets require an explicit per-run confirmation, and the recommended route is a check-only validation first, then quick-deploy that validation, which reuses its components and passed test results instead of running everything again.

Every run stores its package.xml manifest and content hash for rollback planning; automatic rollback execution is not included, and deployments never delete components that exist only in the target.

A target deploy lock. A second run against the same org has to wait, so concurrent deploys can’t interleave and leave you guessing which one won.

Replacing something?

  • orgadmin.ai vs Gearset

    The most mature comparison-and-deploy tool in the ecosystem, with git and CI. Compare when deployment is only one of the jobs you need done.

  • orgadmin.ai vs Copado

    An enterprise DevOps platform with pipelines, branching and compliance evidence. Compare when the question is whether your team needs that much process.

  • orgadmin.ai vs Flosum

    Native DevOps that never lets metadata leave Salesforce. Compare when that platform boundary is a compliance requirement rather than a preference.

  • orgadmin.ai vs AutoRABIT

    An enterprise toolchain with CI/CD, static analysis and backup, from ten licences up. Compare when your team is smaller than its entry package.

  • orgadmin.ai vs The whole market

    Copado, Gearset, Flosum, AutoRABIT, Salto, Blue Canvas and Hutte — who each one is genuinely for, in one table.

Read next

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