If you run a small team on Postman, you have probably already noticed: shared workspaces are no longer part of the free plan. A single user still gets a capable client, but the moment a second person needs the same collection, you are on a paid seat.
This post is about what that actually means, what the real options are, and how to move a team's collections somewhere else without losing a week to it.
What changed
The short version: collaboration moved behind the paywall, the client did not. You can still build requests, run them, and organise them locally for free. What you cannot do for free any more is share that work with a teammate inside the product.
That distinction matters, because it changes who needs to act. A solo developer using Postman as a scratchpad has no urgent problem. A three-person team passing a collection around does — and the workaround most teams reach for first (exporting a JSON file and sending it over Slack) is exactly the manual, drift-prone process shared workspaces existed to replace.
Work out what you are actually paying for
Before comparing tools, it is worth separating what your team uses from what your team has. Most Postman workspaces accumulate a lot of the latter.
| What teams actually use daily | What often goes unused |
|---|---|
| Shared collections and folders | Mock servers |
| Environment variables per stage | Monitors on a schedule |
| Request history | Flows and visualisations |
| Basic auth / token config | Public API network publishing |
| A test script or two | Full CI integration via the platform |
If your team lives in the left column, you are paying seats for collaboration and little else — and collaboration is a feature several free tools now offer. If you genuinely use the right column, Postman's paid plan may still be the right answer, and there is no shame in that. Be honest about which column you are in before you migrate anything.
The realistic alternatives
There are more Postman alternatives than there used to be, and they are not interchangeable. The useful way to sort them is by how they handle sharing, because that is the thing you are replacing.
Git-native tools store collections as plain files in your repository. Bruno is the
best-known of these. Sharing is a git pull, which developers like — but there are no
roles, no invitations, and anyone who needs access needs repository access. For an
engineering team that is often fine. For a team that includes QA or support, it is friction.
Browser-based tools like Hoppscotch keep everything server-side and share by link. Convenient, but the collection lives in someone else's browser session, and offline work is limited.
Native clients with an account-based sync layer sit in the middle: local-first files, with an optional signed-in workspace that syncs and has permissions. This is the closest replacement for what Postman's shared workspaces did, which is why it is the category most migrating teams land in.
SchemaClient is in that third group. Its team workspaces have owner, admin, editor and viewer roles, invitations work by share link rather than email setup, and edits sync with a revision check so two people saving the same request do not silently overwrite each other. They are part of the free plan.
How to migrate without losing anything
The mechanics are simpler than the decision. Do it in this order.
1. Export everything first, while you still have access.
In Postman, each collection has an export option that writes a JSON file. Do this for every collection you care about, including ones you think are dead — you will find out later that one of them was not. If your team is on a paid plan you are about to cancel, export before the plan lapses, not after.
Collection → ⋯ → Export → Collection v2.1 (recommended) → Save
2. Export environments separately.
Environments are a different export in Postman, and they are easy to forget. Export each one you use.
3. Expect secrets not to come with you.
This is the part that surprises people. Postman's exports deliberately omit secret-type variable values, and that is correct behaviour — an export is a file that gets emailed around. Budget time to re-enter API keys and tokens by hand on the other side, and treat it as a chance to audit which ones are still in use.
4. Import, then verify one request per collection.
Import the JSON into your new client and actually send one request from each collection
before you declare the migration done. Import bugs are usually in auth config or in a
{{variable}} that pointed at something environment-specific.
5. Re-establish sharing deliberately.
Do not recreate a free-for-all. A migration is the rare moment when you can set roles properly: who owns the workspace, who can edit, who should only read. In SchemaClient that is the workspace roles; in a git-native tool it is repository permissions.
What to watch out for
Scripts do not port cleanly. If your collections lean on Postman's pre-request and test scripting, that is the least portable part of the whole setup. Every tool has a different model here, and some have none. Check this before you commit, not after — it is the single most common reason a migration stalls halfway.
Collection runners are not all equivalent. If you run collections in CI with Newman, you need a replacement runner, not just a replacement GUI. SchemaClient's CLI covers this case — it runs collections and checks responses against schemas from a pipeline — but verify whatever you pick actually produces the report format your CI expects.
Do not migrate twice. Pick one destination and move everything. Teams that let half the collections stay behind end up maintaining both, which is worse than either.
Where SchemaClient fits, honestly
SchemaClient is a native client with free team workspaces, a built-in localhost tunnel with request inspection, and schema validation of live traffic — which covers the collaboration gap and removes a separate tunnelling subscription at the same time. If your team's Postman usage was collections, environments and sharing, it is a straight replacement.
If you depend heavily on Postman's scripting, mock servers or its integration ecosystem, it is not, and you should either stay or budget real time to rebuild those pieces. That is a genuine trade-off rather than a marketing one, and knowing which side of it you are on is most of the decision.
You can compare the two feature by feature, read how team workspaces and roles work, or start with importing an existing OpenAPI spec if your collections came from a spec originally.