CheqqThe Cheqq alternative to Zapier
Automation that owns the data it is moving.
Zapier connects other people's apps to each other. Cheqq holds the records too — so a process reads and writes its own data instead of shuttling rows between subscriptions, and you build it by describing it rather than by wiring a canvas.
The connective tissue of the software industry. Zapier's advantage is reach: thousands of apps, most of them supported before anyone asked, with a trigger-and-action model simple enough that anyone can build their first automation in ten minutes.
A workspace where the automation, the data it acts on, the app people use and the report it produces are one system. Nothing is moved between tools, because there is only one place for it to be.
Why people start looking
Nothing here is a knock on Zapier. These are the points at which one product stops being the right shape for the job, whichever product it is.
Everything is a hand-off
A Zap has no memory of its own. State lives in whichever app you push it to, so half the work becomes deciding where a record should sit and keeping the copies agreeing.
Real processes are not linear
They branch, loop over a list, retry, wait for a person to approve, and occasionally have to undo what they already did. Steps in a line handle the first quarter of that.
Priced per task, not per outcome
A process that touches five apps costs five times as much as a process that touches one, whether or not anything useful happened.
You still wire every step
Field mapping, filter, formatter, path, another mapping. All learnable, all still you doing it — and all to be redone whenever the process changes.
Cheqq vs Zapier
Row by row, in plain terms. Where Zapier is the stronger answer, the row says so.
Gmail, Notion, Linear, Stripe, Atlassian, Airtable, PayPal and Google Workspace — dozens of managed connections, plus any REST API or MCP server you bring.
Thousands of integrations, including the long tail of niche tools. Nothing else in the category comes close.
In your own collections. A workflow reads and writes its own typed records, so there is no copy to keep in step.
In the apps at either end. Zapier moves data rather than holding it.
Branches, loops, retries, sandboxed code, and compensation steps that unwind work already done when something fails.
Paths and filters, with code steps available.
An approval step holds for a named person, escalates to someone else if nobody answers, and treats a refusal as a normal outcome the process handles.
Usually built by hand — notify someone, then poll for a change somewhere else.
Describe the process; it compiles into steps you can read, test individually with mock inputs, and dry-run before switching on.
Configure triggers, actions and field mappings. Simple to learn, and simple to explain to a colleague.
The same records power published apps and generated documents, so the process, the portal and the report cannot drift apart.
Not part of the product; those live in the apps you connect.
Steps run deterministically with no model in the loop, so the day-to-day is cheap; credits are spent when a model actually runs.
Priced by task volume across your Zaps.
Based on each product's publicly documented capabilities. Both move fast — if something here is out of date, tell us and we will fix it.
What you would build instead
Not features to evaluate — sentences you could type on your first afternoon, and what comes back.
| Lead | Source | Received | Enriched | Score |
|---|---|---|---|---|
| Halden Group | Website | 09:12 | Yes | Hot |
| Riverbend Co | Referral | 09:41 | Yes | Hot |
| Kestrel Media | Website | 10:03 | Yes | Warm |
| Tobin & Sons | Inbound email | 10:22 | Yes | Cold |
| Aventine Ltd | Referral | 11:07 | Yes | Warm |
Stop moving the record. Keep it.
Email arrives, it is read into a typed record, enriched, scored, and the follow-up sent — all against one collection you own. There is no CRM to push to and no sheet to reconcile afterwards.
Approval as a step, not a workaround.
The process pauses, asks a named person, escalates if they are away, and carries on with what they decided. A refusal is an outcome the workflow handles rather than an error someone has to clean up.
When to stay with Zapier
We would rather you picked the right tool than picked ours. These are the cases where Zapier is the better answer.
- You need an app we do not supportIf your automation depends on a niche tool with a Zapier integration and no usable API, Zapier is the answer. That connector library took fifteen years to build.
- Your data belongs in other systemsIf your CRM, your helpdesk and your billing are settled and staying, moving records between them is exactly the job Zapier is for.
- The automation is genuinely two stepsWhen this happens, do that. There is no reason to bring a workspace to it.
- Your team already builds ZapsWidespread internal knowledge is worth real money, and a rebuild spends it.
Moving across, gradually
You do not have to switch in one go — most people run both for a while and let the Zapier side shrink.
Describe the Zap you rely on most
In one sentence. Read the compiled steps, test them with mock inputs, and dry-run it before it touches anything real.
Give it somewhere to keep state
The sheet or the CRM field the Zap was using as memory becomes a collection the workflow owns, so there is nothing left to sync.
Keep Zapier for the long tail
A Cheqq workflow can be triggered by a webhook, so a Zap can hand off to it. Most people run both for a while and shrink the Zapier side.
Switching from Zapier
Does Cheqq have as many integrations as Zapier?
No, and it would be silly to claim otherwise. Cheqq supports the tools most operations run on and lets you bring any REST API or MCP server. Zapier's library is far broader, and for a genuinely niche app it is the better route.
Can Zapier trigger a Cheqq workflow?
Yes. Workflows can be started by an inbound webhook, so an existing Zap can call one. That is usually how people move gradually rather than all at once.
How is the pricing different?
Cheqq is priced per seat rather than per task. Once a workflow is built it runs deterministically with no model involved, so running it repeatedly costs very little — credits are spent when a model actually does work, like an AI column researching rows.
What if a step fails halfway through?
You choose: stop, continue past it, or unwind what has already been done with a compensation step. Every run keeps a full event history, and a suspended run resumes rather than restarting.
Comparing something else?
vs SmartSuite
vs NocoDB
vs Teable
vs Excel
vs Google SheetsAutomate the work, not the hand-off
Describe your most important Zap and watch it come back as steps you can read. Free to start.
Start free