Table of Contents ▾
Best automation tools at a glance
| Tool | Best for | Billing unit | Entry paid price *(checked 15 Oct 2026)* | Deployment | Hardest limitation | Choose something else if… |
|---|---|---|---|---|---|---|
| Zapier | Teams who want the shortest path from idea to working automation | Task — one action that completes successfully | From $19.99/month (Professional) | Cloud | Task rates vary by action type, so the bill is hard to forecast | You need a predictable bill, or your workflows are long and high-volume |
| Make | Teams who need branching logic at a lower cost per operation | Credit — one module action | $9/month (Core, billed annually) | Cloud | Free tier runs at most once every 15 minutes | You need time-sensitive triggers on a free plan |
| n8n | Technical owners who want control or self-hosting | Execution — one whole run, unlimited steps | €20/month (Starter, billed annually) | Cloud or self-hosted | Self-hosting means you own the infrastructure | Nobody on your team wants to run a server |
| Microsoft Power Automate | Businesses already paying for Microsoft 365 | User or bot | $15.00/user/month (Premium, paid yearly) | Cloud | Licensing gets complicated outside Microsoft | Your stack isn't Microsoft-centred |
| UiPath | Processes with no API to connect to | Bot | From $25/month (Basic) | Cloud or on-premises | Basic tier is limited in scale | Your systems already have APIs |
| Workato | Enterprises needing governance across ERP, CRM and HRIS | Not published | Not published — contact sales | Cloud | No public pricing to evaluate before a sales call | You need to compare costs before talking to anyone |
Zapier is the fastest route to a working automation and the easiest to hand to a non-technical colleague. It is also the one most likely to surprise you on cost as volume grows.
Make gives you visual branching and cheaper operations, and is where many teams land after Zapier's bill starts climbing. The free tier's 15-minute floor on how often a scenario can run is the detail that catches people out.
n8n charges per completed workflow run rather than per step, which changes the economics of complex workflows completely. Self-hosting is free in licence terms and expensive in responsibility terms.
Microsoft Power Automate is compelling mainly because you may already own it. Its value drops sharply the further your stack sits from Microsoft.
UiPath is a different kind of tool for a different kind of problem — automating software that has no usable interface. It is a fallback, not an upgrade.
Workato serves enterprise integration programmes with governance requirements. It publishes no pricing, which makes it impossible to shortlist on cost without a sales conversation.
What kind of automation problem are you actually solving?
Before comparing features, it is worth checking that you are shopping in the right aisle. Four categories get called "automation," and they solve different problems.
Integration platforms: connecting apps that have APIs
Integration platforms — sometimes called iPaaS — move data between applications that expose an API. When a form is submitted, the platform can check your CRM, create a record, notify a channel and log what happened. Zapier, Make, n8n, Power Automate and Workato all sit here.
This is the category the rest of this page covers, and it is the right one if the systems you want to connect can talk to each other programmatically. The critical question is narrow: does the system you need to automate expose an API you can use? If yes, you are in the right place. If no, keep reading.
What integration platforms cannot do is reach software that offers no interface at all. For that you need a different approach. If you want to understand how these connections actually work — APIs, webhooks, polling and sync — that is how business applications actually connect.
RPA: when there is no API
Robotic process automation drives software the way a person does: through its screens. That is its strength and its weakness. It can work with a legacy desktop application that has no API, no webhooks and no modern integration surface — which no integration platform can do.
The trade-off is durability. An automation built on an API breaks when the API changes, which vendors announce and version. An automation built on a user interface breaks when someone moves a button. UiPath's own documentation distinguishes attended bots, which work alongside a person, from unattended ones, which run on their own.
The practical rule: prefer an API integration wherever one exists, and treat RPA as the option you use when none does. RPA is not a more advanced version of an integration platform; it is what you reach for when integration isn't available.
Work management and workspace tools
If what you want is to automate task assignment, approvals, project stages or team reminders, tools like monday.com, Asana, ClickUp, Airtable and Notion are built for exactly that, and they do it better than any integration platform.
They are a different purchase, aimed at coordinating work rather than connecting systems. Many teams run both — a work management tool for what people do, an integration platform for what systems do. If your problem is the first one, this comparison is not the page you need.
AI-agent platforms
Some work needs judgement rather than rules: reading an inbound email and deciding what it is, drafting a reply that matches context, handling requests that don't fit a template. Integration platforms follow instructions; they don't decide.
Where the work genuinely needs judgement, an AI-agent platform is the right category. That is a separate evaluation with different failure modes — an agent that is wrong is worse than a workflow that fails, because it fails quietly and plausibly. It is also AI automation services and AI-agent solutions territory, not this page's, so we cover AI here only as one criterion among several.
How each platform charges you
This is where most comparisons go wrong. Entry prices look comparable and are not, because each platform charges for a different unit of work. A price tells you almost nothing until you know what you are being billed for.
What counts as one billable unit
| Platform | Unit | What counts as one | Source |
|---|---|---|---|
| Zapier | Task | One action that completes successfully. Filter, formatter and path steps are excluded; rates vary by action type | zapier.com/pricing |
| Make | Credit | One module action: "Each module action in your scenario… counts as one credit" | make.com/pricing |
| n8n | Execution | One complete workflow run, unlimited steps within it: "Pricing based on monthly workflow executions, regardless of complexity" | n8n.io/pricing |
| Power Automate | User or bot | A licensed user (Premium) or a bot (Process) | Microsoft Power Automate pricing |
| UiPath | Bot | A bot, attended or unattended | uipath.com/pricing |
| Workato | Not published | No pricing figures published | workato.com/pricing |
The consequence is the thing worth understanding. A ten-step workflow consumes roughly ten credits on Make and one execution on n8n. Neither is cheaper in the abstract — which one costs you less depends entirely on whether your workflows are short and numerous, or long and complex. Zapier sits between the two: its filter, formatter and path steps are free, but how many tasks a single action consumes changes with the AI model tier, the code runtime and the connector type.
It also explains a cost people don't anticipate. Defensive work — checking that a field exists, validating an email, handling the case where an enrichment lookup returns nothing — is made of steps. On platforms that bill per module action, those steps are billable. On platforms that bill per execution, they are not. Zapier sits between the two: filters and formatters are excluded from task counts, but AI tier, code runtime and connector type change what an action costs.
The same workflow, four different bills
Take one eight-step workflow: a form is submitted, the email and phone are validated, the CRM is checked for an existing contact, company data is enriched, an owner is assigned by territory or round-robin, the CRM record is created or updated, a follow-up task is created, and the owner is notified and the run logged. (This workflow is illustrative — a real build may use more or fewer steps.)
| Runs per month | Zapier (tasks) | Make (credits) | n8n (executions) | Power Automate | UiPath |
|---|---|---|---|---|---|
| 1,000 | Fewer than 8,000 — see note | 8,000 | 1,000 | 1 licensed user | Per bot |
| 10,000 | Fewer than 80,000 — see note | 80,000 | 10,000 | 1 licensed user | Per bot |
| 50,000 | Fewer than 400,000 — see note | 400,000 | 50,000 | 1 licensed user | Per bot |
Where verified tiers cover those volumes, here is what the bill looks like:
| Volume | Zapier | Make | n8n |
|---|---|---|---|
| 1,000 runs | Paid tier required. Professional starts from $19.99/month; task allowance not verified here | Covered by Core — 10,000 credits/month at $9/month (annual) | Covered by Starter — 2,500 executions at €20/month (annual) |
| 10,000 runs | Above verified tiers — check current pricing | Above verified tiers — check current pricing | Covered by Pro — 10,000 executions at €50/month (annual) |
| 50,000 runs | Above verified tiers — check current pricing | Above verified tiers — check current pricing | Above verified tiers — check current pricing |
Two honest gaps in that table. First, Zapier publishes task tiers from 100 up to 2 million per month, but we have not verified which tier covers which row, so no figure is attached. Second, Make's upper tiers price per credit — Core at $0.90 per 1,000 credits, Pro at $1.60 per 1,000 credits — but we have not verified the included allowance above Core, so the 10,000-run figure isn't calculated.
Power Automate and UiPath don't meter by run in the same way, so their lines stay flat — but both publish their own limits, and those limits, not the price, are what will stop you. Check them before you rely on either at volume.
The six platforms compared in detail
Zapier
Best for. Teams who want a working automation today, built by someone who has never read API documentation.
Zapier's value is breadth and immediacy. If two applications need to talk to each other, the connector probably already exists, and a first automation can be running in an afternoon. For a small team with no technical owner, that matters more than any pricing nuance. The free plan includes Zaps as well as Zapier Tables and Forms, which is enough to build something real before paying anything.
What building in it feels like. Workflows — Zaps — are a trigger followed by actions, assembled from a template library or from scratch. It is the easiest of the six to hand to a colleague who has never automated anything. The trade-off is that complex branching and data transformation get awkward; Zapier is built for linear workflows and will let you build more complicated ones without making them pleasant.
Where it gets expensive. A task is counted when an action completes successfully — checking for new data costs nothing, and filter, formatter and path steps are excluded. What is harder to manage is the rate: Zapier states that AI model tier, code runtime and connector type each affect how many tasks a single action uses. Two structurally similar Zaps can therefore consume very different amounts, which is the real obstacle to forecasting the bill.
Limits that matter. The free plan allows 100 tasks per month. Paid tiers run from 750 tasks up to 2 million. Zapier publishes task usage rates separately, and it is those rates — not the tier price on its own — that decide what you pay at volume.
On AI. Zapier markets AI features, including an AI assistant on some paid plans. Availability varies by plan and changes often — check the current plan details rather than assuming it is included.
What you'll maintain. Failed runs appear in a searchable run history you can replay after fixing the cause. In practice the recurring work is watching two things: whether filtered-out runs are quietly consuming tasks, and whether a workflow that used to fire is still firing after someone changes a field upstream.
Choose something else if your workflows are long or run at high volume, or if you need complex data transformation. Also look elsewhere if you need to know your annual bill in advance — a meter whose rate depends on connector type, AI model tier and code runtime is the hardest of the six to forecast.
Make
Best for. Teams who have outgrown linear workflows and want branching, routing and data transformation without a developer.
Make builds scenarios visually, which makes conditional logic far easier to read than a flat list of steps. Routers let one trigger fan out into several paths; filters control what continues. Teams migrating off Zapier for cost reasons most often land here, and for branching-heavy work the saving is real.
What building in it feels like. More powerful and more demanding than Zapier. The visual canvas rewards people who think in flows rather than lists, and it makes error paths visible in a way linear builders do not. Expect a learning period, and expect the first few scenarios to be rebuilt once the execution model clicks.
Where it gets expensive. Credit consumption needs active monitoring, and the patterns that drain it are not obvious at first. Make charges per module action, and code execution is billed at 2 credits per second of runtime — so a scenario that leans on code can spend far faster than its step count suggests. Polling triggers, loops and retries are worth watching too, but Make does not publish their credit cost on its pricing page: measure your own scenario's consumption during a trial rather than assuming it.
Limits that matter. The free plan allows 1,000 credits per month and — the detail that decides more evaluations than any other — runs at most once every 15 minutes. If your automation needs to respond to a form submission within seconds, the free tier will not do it, and that is a functional constraint rather than a pricing one. Data transfer is separately metered: 512 MB on the free plan, and 5 GB per 10,000 monthly credits on paid plans. File-heavy workflows hit that long before they hit their credit allowance.
On AI. Make exposes AI steps and connections to model providers, consuming credits like any other module. Treat AI as a credit multiplier, not a fixed cost.
What you'll maintain. Scenarios with several branches need someone who understands the execution model to debug them. Make documents error handling, but we were unable to verify the specific handler types from Make's own help centre, so confirm the mechanics during a trial rather than assuming them.
Choose something else if your trigger needs to be near-instant and you are not ready to pay, if nobody wants to learn a visual scenario builder, or if you move large files between systems.
n8n
Best for. Teams with technical ownership who want control over logic, data and deployment.
n8n is the only platform here that charges per execution rather than per step, with unlimited steps inside a run. That one design decision changes the economics of complex workflows: a twenty-step workflow costs the same as a two-step one. It is also the only one offering a free self-hosted edition.
What building in it feels like. Nodes on a canvas, with a code node available when the visual options run out and an HTTP Request node for anything without a dedicated connector. That last point matters more than it sounds: a missing connector is an inconvenience rather than a blocker, because you can call the API directly. It is the most flexible of the six and the least forgiving — debugging means reading JSON payloads, not a friendly error summary.
Where it gets expensive. Self-hosting is free in licence terms and not free in practice. You take on a server, backups, upgrades, certificates, monitoring, log retention and someone to respond when it fails at 2am. Cloud tiers start at €20/month (Starter, billed annually, 2,500 executions, 5 concurrent) and €50/month (Pro, billed annually, 10,000 executions, up to 50 concurrent).
Limits that matter. Concurrency is the constraint to check first: five concurrent executions on Starter means five workflows running at the same instant, and the sixth queues. Teams running several workflows off shared triggers hit this before they hit their execution allowance.
Deployment. n8n documents self-hosting on your own infrastructure, on-premises or in a private cloud, using Docker Compose among other methods. The Community Edition is a standard self-hosted version available under n8n's licence.
On AI. n8n's agent and AI nodes run inside workflows and do not change the billing unit — an execution is still one execution regardless of how many model calls it makes. That is a genuine advantage for AI-heavy workflows, and a reason to check how many model calls your plan's execution count really represents.
What you'll maintain. On a cloud plan, the same category of work as any other platform. On self-hosting, you maintain the platform itself — see What self-hosting really costs below.
Choose something else if nobody on your team wants to run infrastructure, if you need a large pre-built connector catalogue on day one, or if the person who would debug a failed execution is not comfortable reading JSON.
Microsoft Power Automate
Best for. Businesses whose work already happens inside Microsoft 365.
Power Automate's strongest argument is that you may already pay for it. Premium is $15.00 per user per month paid yearly, and it includes attended desktop flows and process and task mining. The Process plan, at $150.00 per bot per month, is the unattended tier — automation that runs with nobody present. For workflows that live in Teams, SharePoint, Outlook and Dynamics, that proximity is hard to match with an external tool.
What building in it feels like. Cloud flows follow the same trigger-and-action pattern as the others. The distinguishing feature is desktop flows — attended automation that drives a Windows application, which puts Power Automate partly in RPA territory without requiring a separate product.
Where it gets expensive. Licensing is the complexity, not usage. Working out which flows need Premium, which need a per-bot plan, and how that interacts with licences you already hold can take longer than building the automation. That administrative overhead is the real cost, and it lands on whoever manages your Microsoft estate.
Limits that matter. Microsoft publishes request and API entitlement limits per licence, and those — not the subscription price — are the ceiling at high volume. We have not verified the current figures, so check them against Microsoft's documentation before committing to a high-throughput design.
On AI. Microsoft integrates AI across the Power Platform, and what is available depends heavily on which licences and add-ons you hold. Verify against the specific plan rather than assuming parity.
What you'll maintain. Flow run history is available and reasonably searchable. The ongoing cost is governance: who may create flows, in which environments, connecting to which systems. In a large Microsoft tenant that becomes a real administrative workload.
Choose something else if your stack is not Microsoft-centred — much of what you pay for is proximity, and it fades fast outside the ecosystem. Also look elsewhere if you do not have someone willing to own licence administration.
UiPath
Best for. Automating software that has no API — legacy desktop applications, terminal interfaces, systems where driving the screen is the only option.
UiPath is the one tool here that is not primarily an integration platform. Its Community edition is free forever; Basic starts at $25 per month and is, by UiPath's own description, limited in scale.
What building in it feels like. Fundamentally different from the other five. You are not connecting systems through interfaces designed for machines; you are automating the interface designed for people. That makes it possible to automate things nothing else can reach, and it makes the result dependent on that interface staying still.
Where it gets expensive. Per-bot pricing means cost scales with how many things need to run at once rather than how many workflows exist. Attended bots, which work alongside a person, and unattended bots, which run on their own, are licensed differently — so the same automation can cost differently depending on whether a human is present.
Limits that matter. Basic is explicitly limited in scale, including in users and robots. Real deployments generally sit above the entry tier, and UiPath's pricing above Basic is not verified here.
The maintenance point, stated plainly. An API integration breaks when a vendor changes a documented, versioned interface. A screen-driven automation breaks when someone moves a button — without notice, without versioning, and usually without an error message that explains what happened. Budget for someone revisiting these automations on a schedule.
Choose something else if your systems have usable APIs. An integration platform will be cheaper to run, faster to build and far more durable. RPA is what you reach for when integration is not available, not a more capable version of it.
Workato
Best for. Enterprise integration programmes that need governance across ERP, CRM and HRIS systems.
Workato sits above the others on orchestration and administrative control. It is typically chosen where integration is a managed programme with owners, change controls and audit requirements, rather than a tool an operations manager picks up.
On pricing. Workato publishes no pricing figures. Its pricing page describes an approach built for flexibility and directs visitors to sales. As of 15 October 2026 there is no public number to compare against the other five on this page.
That has a practical consequence worth planning for: you cannot shortlist Workato on cost without a sales conversation. If your evaluation process requires comparing prices before engaging a vendor, this step will take longer here than for any other tool on this page, and you will be comparing capabilities before you can compare costs.
What you'll maintain. Integration programmes at this scale need owners — people accountable for what connects to what, and for reviewing changes. That is a staffing commitment rather than a feature.
Choose something else if you need to evaluate cost independently before talking to sales, if your integration needs are departmental rather than organisation-wide, or if you have nobody to own the programme.
What you'll have to maintain once it works
Every comparison page tells you what a tool costs to buy. Almost none tell you what it costs to keep. That ongoing cost is where most of the regret in this category lives.
What breaks, and who notices
The failure that costs money is not the loud one. It is the scheduled run that completes successfully while returning nothing useful — because a field was renamed upstream, or an API started returning a different shape, and the workflow happily mapped null into your CRM for eleven days before anyone looked at the report.
Three things catch that class of failure, and none of them are exotic:
- Row-count comparison. If a sync normally moves 400 records and moves 12, something changed. Alert on the ratio, not just on errors.
- Null-rate checks on mapped fields. A field that is suddenly always empty is a renamed field, not a quiet week.
- Heartbeat alerts on schedules. If a run was supposed to happen and didn't, you want to know — because a workflow that never fired produces no error at all.
Then decide what happens to records that fail validation: retried, routed to a review queue, or dropped. Dropping is the default on most platforms and is usually the wrong answer for anything involving money or customer commitments.
The platform-specific part is how much visibility you get. Each of the six exposes run history, but the depth, retention period and searchability differ, and that is worth testing during a trial — it is the difference between a five-minute diagnosis and an afternoon.
What self-hosting really costs
n8n's Community Edition is free, and self-hosting is a genuine advantage: your data stays on your infrastructure, and per-execution cost disappears. Both are real.
The licence is free. The responsibilities are not:
- A server, and someone who patches it
- Backups, and someone who tests restoring them
- Version upgrades, and someone who reads the breaking changes first
- TLS certificates that get renewed
- Monitoring, alerting and log retention
- Credential management and rotation
- Someone on call when it fails outside working hours
None of that is an argument against self-hosting. For a high-volume workflow, or one handling data you cannot send to a third party, it can be the right call even after all of the above. It is an argument against treating "free" as meaning free.
If you want a fuller framework for keeping automations healthy after go-live, see how to tell whether an automation is still working.
How to choose — and when none of these is the answer
Four questions that narrow the shortlist
Work through these in order. Each one eliminates candidates rather than ranking them.
1. Who will build and fix this? If the answer is a non-technical owner, Zapier or Power Automate. If it is someone comfortable reading API responses, Make or n8n. If nobody, that is the finding — see the section below.
2. How complex is the workflow? Linear, one-thing-then-another automations work well anywhere. Branching logic, loops and data transformation favour Make. Custom logic, code steps and unusual protocols favour n8n.
3. Do you need to predict the bill? If a variable monthly invoice is a problem, prefer per-user or per-execution pricing over per-step and per-credit models. The trade-off is that predictable pricing usually means paying for capacity you don't use in quiet months.
4. Where does the data need to live? If it cannot leave your infrastructure, n8n self-hosted or UiPath on-premises. If cloud is fine, all six qualify.
Rather than a ranked list, here is how those answers tend to resolve:
| Your situation | Start with |
|---|---|
| Simple workflows, business-critical, no technical owner | Zapier |
| Branching logic, cost climbing on a task meter | Make |
| Custom logic, self-hosting, or long workflows that would be expensive per-step | n8n |
| Microsoft 365 is the operating environment | Power Automate |
| A system with no API to connect to | UiPath |
| Governance across ERP, CRM and HRIS at enterprise scale | Workato |
When none of these is the answer
Sometimes the right recommendation is no purchase.
If the process you want to automate isn't stable — if it changes depending on who is doing it, if exceptions get handled by someone messaging a colleague, if nobody has written it down — then automating it will encode the confusion and run it faster. A manual process that is messy costs you hours. The same messy process automated costs you hours of cleanup, repeatedly, at machine speed.
Two other cases where the answer is "not yet":
- Your existing software already does it. Most CRMs can assign leads, send follow-up sequences and create tasks. Many email platforms can trigger on behaviour. Check what you already pay for before adding a subscription.
- The work needs judgement more than rules. An integration platform will follow your instructions faithfully even when they are wrong for this particular case. If the task is "decide what this inbound message actually is," a rules engine is the wrong tool.
If you are not sure whether your process is ready, work through whether your process is ready to be automated first. It is a shorter read than choosing badly and rebuilding.
Frequently asked questions
Usually not to start. Most teams run one platform and one work-management tool, and that is enough for a long time. Two integration platforms become justified when a specific requirement genuinely won't fit the first — self-hosting for one sensitive workflow while everything else stays in the cloud, for example. Bear in mind that the second tool carries its own subscription, its own learning curve and its own maintenance burden, and that debugging across two platforms is harder than debugging within one.
Integration platforms generally cannot. They need a documented API or, at minimum, a webhook. Some tools offer browser-based automation, but screen-driving is brittle and breaks when the interface changes. If your critical system exposes no API, RPA is the category designed for that case — UiPath is the one covered here — and it comes with the maintenance burden that comes with automating through a user interface.
Your workflows are configurations, not files you own in a portable format. Every platform here lets you export some representation of a workflow, but an export is not a migration — workflows have to be rebuilt, not just moved, because triggers, data shapes and connector behaviour differ between platforms. Practically, that means the cost of leaving rises with how much you have built. It is a good reason to keep the first few workflows simple and to avoid building anything you would be unwilling to rebuild.
For a simple two-system workflow, a non-technical owner can usually have something working the same day on Zapier or Make. Complex, multi-branch workflows with error handling take longer — days rather than hours — and the time goes into documenting the process and deciding what should happen when things fail, not into the building. Timelines for anything beyond that depend on scope; workflow automation implementation covers what a larger build actually involves.
Not to build simple workflows — n8n's visual builder works like the others. You will want someone technical for three things: self-hosting, custom code nodes, and debugging failed executions, which means reading JSON error output rather than a friendly message. If none of those apply, a determined non-technical owner can use the cloud plan. If all three apply, plan for technical involvement from the start.
Getting it built
Choosing the platform is usually the quick part. The slower work is what comes next: writing down the process as it actually happens, deciding what should occur when a step fails, building the first workflow, and deciding who looks after it six months from now.
If you have picked a tool and want it designed, built and maintained properly, SalesOxe's workflow automation implementation team does that work.
Book a 45-minute strategy call. The session evaluates your system architecture, lead flow, and response times. If the process you want to discuss is an operations or finance workflow, note that when you book and we'll adjust the agenda accordingly.
Ritu leads system architecture and workflow engineering at SalesOxe. She specializes in designing fault-tolerant CRM pipelines, enterprise API orchestration, and governed AI agent workflows that eliminate operational latency for US businesses.
*Pricing and plan limits verified against official vendor pages on 15 October 2026. No performance or load testing was carried out. Workflow examples are illustrative.*