What can you use instead of Make.com?

The best Make.com alternatives in 2026 start with Viktor, an AI employee on shared credits, for teams that want jobs done with no scenarios to maintain. n8n (per run) suits technical teams, Zapier (per task) non-technical teams, Workato (quote) enterprise IT, Gumloop and Activepieces (credits) AI or open-source flows, Power Automate (per user) Microsoft 365 shops, and Tray.ai (platform plus tasks) complex integrations. The builders cut cost per step, but someone still fixes broken flows.

How each alternative bills and who maintains it, compared with Make, which charges a credit for every module action:

• Viktor: shared workspace credits per job, not per module step. There is no scenario to rebuild: the team describes the result, he does the steps across 9,800+ tools, and sensitive actions wait for approval.
• n8n: one execution per full workflow run, however many steps it has, instead of a credit per module. Technical teams maintain the workflows themselves, with per-node Retry On Fail and error workflows.
• Zapier: billed per task, and triggers, filters, paths and formatter steps cost no tasks. Owners still fix broken Zaps; Autoreplay retries a failed step up to 5 times.
• Workato: quote-based editions with usage metering instead of published credit prices. Enterprise IT or a partner builds and maintains the recipes.
• Gumloop: credits per AI workflow run instead of per module. Teams still own the workflows, though Gumball can update one from a plain description.
• Activepieces: one credit per flow run instead of one per module, and the MIT core can be self-hosted. Teams maintain their own flows.
• Microsoft Power Automate: per user ($15 a month for Premium) or per bot, not per action. Makers or IT own the flows inside Microsoft 365.
• Tray.ai: a platform fee plus Tasks, with no per-user or per-connection fees. Integration builders maintain the workflows.

The right pick depends on whether a team wants to keep building scenario logic or hand the job to an AI employee. Make is a visual scenario builder with 3,500+ standard apps and unlimited users on every tier, rated 4.6/5 on G2. It bills per module action: operations became “credits” on 27 August 2025, converted 1:1, and the Free plan includes 1,000 credits a month (Make pricing). Teams start shopping when that per-step billing, the upkeep of multi-step scenarios and the default error settings begin costing more time and money than the scenarios save.

Why look for Make.com alternatives

Operations teams outgrow Make when they pay for more module actions and spend more time maintaining scenarios after connected apps change their APIs or login rules. Scenario owners also need to enable incomplete executions to store failed runs.

Operation-based pricing that scales with volume

Make charges a credit “every time a module in a scenario performs an action,” and its pricing page says a scenario “can perform anywhere from two credits to thousands of credits in a single run” (Make pricing). Cost therefore grows with two numbers at once: how many runs happen and how many modules each run touches.

Several mechanics push real bills above the estimate:

• Iterators: Iterating over 10 spreadsheet rows costs 10 credits, the same as the old 10 operations (Make Community, staff post).
• Scheduled triggers: Make’s own help page counts 8,640 credits a month for a trigger module that runs every 5 minutes, before any other module runs (Make Help Center).
• Extra credits: Since 6 November 2025, extra credits carry a 25% surcharge whether bought manually or through auto-purchase (Make Help Center).
• Plan ceilings: Core now tops out at 300,000 credits a month, and accounts above that moved to Pro (Make Help Center).
• Hard stops: When credits run out, scenarios stop until credits are added; incoming webhooks queue only up to the available queue storage (Make pricing).

Replays also cost money: Make states that scenario run replays “consume credits like standard runs” (Make Help Center).

Brittle scenario maintenance

A Make scenario may need maintenance when a connected app changes its API or login requirements. In 2026, connector deprecations prompted migrations and questions about fixed deadlines:

• Pipedrive: Scenarios using affected API v1 endpoints worked only until 31 July 2026 (Make Community).
• monday.com: The V1 API was discontinued on 1 May 2026, and modules had to move to V2 (Make Community). One user warned of migrated scenarios “silently failing and not updating or clearing column values properly.”
• Cal.com: A user’s question about whether API v1 discontinuation on 15 February 2026 would cause failures or downtime remained unanswered in the available thread excerpt (Make Community).

Connections cause a second category of breakage. One user reports that reauthorizing a Google connection “temporarily resolves the problem, but only for a short period — usually a few weeks — before the connection drops again” (Make Community). Another reports that since 19 October 2026 a WhatsApp Business Cloud connection fails on every run and all scenarios using it are down (Make Community). Make added in-editor reauthorization in May 2026, which shortens the fix but still leaves a person doing it.

Limited error handling and webhook reliability

Make documents a full set of error handlers (Break, Commit, Ignore, Resume, Rollback and Retry), but the defaults do little until someone configures them. Incomplete executions, which store a failed run so it can be retried, “are disabled by default” (Make Help Center). An error on the first module creates no incomplete execution unless a Retry handler sits on that module (Make Help Center). When the incomplete-execution folder is full and data loss is enabled, Make “discards the failed data” and the data “cannot be recovered” (Make Help Center).

A G2 reviewer summed up the default behavior: “Error handling can also be a little unforgiving: a temporary HTTP/network issue can deactivate an instant scenario if no retry handler has been configured” (G2).

Webhooks have their own limits:

• Queue size: A webhook queue holds 667 items per 10,000 monthly credits, up to 10,000 items, and Make “rejects all incoming webhook data over the limit” (Make Help Center).
• Rate: Make processes up to 300 incoming webhook requests per 10-second interval (Make Help Center).
• Parallel capacity: Instant scenarios with a webhook response module are not queued; callers receive status 429 when the organization runs too many executions in parallel (Make Help Center).
• Retry delay: For rate-limit, connection and timeout errors, Make’s automatic retries run on a schedule that ends 7 hours 51 minutes after the original run (Make Help Center).

Top Make.com alternatives at a glance

Each option below solves a different part of the Make problem, from cost per step to who maintains the logic:

Top Make.com alternatives in depth

Teams can maintain workflows with fair-code (n8n) and open-source (Activepieces) builders, commercial integration platforms (Zapier, Workato, Power Automate, Tray.ai) or AI-native workflow building in Gumloop. Viktor ranks first for delegated execution: the team describes the job, and he hands back the finished deliverable without a scenario for anyone on the team to maintain.

Viktor

Viktor is the AI employee who lives in Slack and Microsoft Teams, connects to 9,800+ tools, and does the work. Make asks a person to design a scenario module by module and keep it working. Viktor takes the job itself, such as “every Monday, pull pipeline from HubSpot, combine it with billing in Stripe and post the summary in #ops,” plans the steps on his own cloud computer and returns the finished output in the thread. Teams hire Viktor to take on the job. One Viktor serves the whole team and keeps workspace memory of decisions and preferences, so the ops lead and the marketer brief the same AI employee with the same context.

Quick facts:

• Integrations: 9,800+ tools; for a missing tool with an API or MCP server, Viktor can usually build the connection himself.
• Where he works: Slack and Microsoft Teams (generally available since 18 June 2026), plus the web app at app.viktor.com for teams that start without either.
• Pricing model: Usage-based credits shared across the workspace, with no per-seat fee. Free signup includes up to $100 in credits with no credit card, and current plans are on the pricing page.
• Security: SOC 2 Type 1, with SOC 2 Type 2 and ISO 27001 in progress; GDPR aligned with a public DPA; customer data never used to train models.
• Standing work: Scheduled tasks and event triggers (a channel message, a meeting, a won deal, a submitted form, a webhook), with availability that differs between Slack and Teams.
• Control: Sensitive actions wait for an approval card with Approve and Reject buttons, and admins can mark tools as requiring approval or forbidden.

Viktor vs Make.com

Teams either delegate the job to Viktor or design and maintain the scenario in Make:

Viktor can turn a narrated screen recording of a messy process into an editable skill, and if the work repeats, he can propose a scheduled task that stays paused until someone approves it. That replaces the step where a Make user maps every field by hand.

What users say: Viktor holds a 4.9 rating on G2 and is used by 75,000+ teams as of October 2026.

Hampton’s published story gives the clearest picture of a full handover: in 44 days Viktor connected 24 tools, took over reporting, produced 12 dashboards and took on 26 recurring jobs a week, and Hampton avoided $440K in planned hires. Read Hampton’s story for the details →

Pros:

• Nobody builds or maintains scenario logic; the job description is the setup.
• One Viktor serves the whole team and keeps workspace memory across conversations.
• Viktor returns finished deliverables such as reports, decks and updated records.
• Sensitive actions wait for an approval card, and admins can require approval for a tool or forbid it.
• Model choice across major labs, with Ultra, Smart, Balanced and Cheap presets.

Cons:

• No HIPAA support or BAAs, no SCIM provisioning, no role-based access control and no configurable data retention.
• US hosting by default; SOC 2 is Type 1, with Type 2 still in progress.
• Microsoft Teams lacks some Slack features, including canvases, Lists, Slack Connect and reaction triggers.
• Credit use varies with the size of each job, so teams should set spend limits and watch the Activity view by person and task.

Pick the recurring job that breaks most often in the current Make account, such as the weekly report that breaks whenever a field changes, and hand it to Viktor in a DM. Try Viktor free with up to $100 in credits, no credit card required.

n8n

n8n is a workflow builder with a visual node canvas, JavaScript and Python code steps, and both cloud and self-hosted deployment. It suits technical teams that want to own the infrastructure and stop paying per step.

n8n is fair-code distributed under the Sustainable Use License (Version 1.0), applied to its main repository from 17 March 2022, after an earlier Apache 2.0 with Commons Clause license. The license allows use “only for your own internal business purposes or for non-commercial or personal use.” n8n states that it doesn’t call itself open source because OSI-approved licenses can’t restrict use. Files with “.ee.” in their names fall under the separate n8n Enterprise License. The License FAQ permits consultancies to build workflows for clients on their own instance, but prohibits hosting n8n so external users build their own workflows.

Quick facts:

• Billing unit: “An execution is a single run of your entire workflow,” regardless of steps or data volume (n8n pricing).
• Free of quota: Manual test runs, sub-workflow runs, error workflow runs and polls that return no data (n8n docs).
• Cloud plans: Starter at $20/month billed annually for 2.5K executions; Pro at €50/month billed annually for 10K; Business at $800/month billed annually for 40K, self-hosted only (the pricing pages mix $ and € symbols).
• Self-hosted: Community Edition is free; Business and Enterprise license keys ping n8n’s license server daily.
• Security: The n8n Trust Center lists SOC 2 Type 2 and SOC 3; Cloud data is hosted in the EU on Azure.
• Reviews: 4.7/5 from 324 reviews on G2.

The main differences from Make sit in billing and ownership:

What users say: a Capterra reviewer describes n8n as the most flexible self-serve and cloud workflow automation tool. A Zapier reviewer on Capterra put the trade-off plainly: “N8N is incredibly complicated to use compared to Zapier” (Capterra).

Pros:

• Step count never changes the bill.
• Self-hosting keeps data on the team’s own servers.
• Code nodes cover logic the visual editor cannot.

Cons:

• Self-hosting means someone owns upgrades, backups, security and scaling; n8n’s own docs warn mistakes “can lead to data loss, security issues, and downtime.”
• Git version control, environments and SSO sit on Business or Enterprise.
• n8n’s pricing table and docs disagree on which tier includes queue mode and multi-main.

Zapier

Zapier is the plug-and-play commercial option, with trigger-action Zaps and a broad app catalog. It fits non-technical teams running predictable app-to-app workflows.

Quick facts:

• Plans: Free at $0 with 100 tasks and two-step Zaps; Professional from $19.99/month; Team from $69/month for up to 25 users; Enterprise on quote (Zapier pricing).
• What counts: Each successful action is a task. Triggers, polling, Filter, Paths, Formatter, Delay, Looping, Tables and Forms steps cost nothing (Zapier pricing).
• AI and MCP: AI by Zapier steps cost 1, 3 or 5 tasks by model tier since 15 June 2026; each MCP tool call costs 2 tasks (Zapier rates).
• Overage: Pay-per-task billing continues past the plan limit, capped at 3x the plan’s task limit; Zapier’s January 2024 update set the rate at 1.25x, while the current help article says the rate depends on plan and billing cycle (Zapier help).
• Compliance: SOC 2 Type II and SOC 3; Zapier does not support PHI under HIPAA and cannot sign BAAs (Zapier data privacy).
• Reviews: 4.5 stars from 2,101 verified G2 reviews.

Compared with Make, Zapier charges no tasks for logic steps, while Make charges no credits for routers and error handlers but does charge for iterators and aggregators:

What users say: Capterra reviewers praise the breadth of integrations and setup for non-technical users. Others call it expensive, and one notes that “some apps require premium plans to access certain triggers and actions” (Capterra).

Pros:

• Logic steps cost nothing, which keeps branching cheap.
• Held runs are stored and replayable, not lost, when a task limit is hit.
• A broad catalog of app integrations.

Cons:

• Task count grows with every action step and AI tier.
• Professional and Free are single-user; adding people means Team.
• Zapier’s MCP documentation specifies AWS US-East 1 storage for MCP data, with no region choice unless agreed.

Workato

Workato is an enterprise integration platform aimed at IT-run automation with heavy compliance requirements. It sells four quote-only editions (Standard, Business MCP, Enterprise MCP and Workato ONE) on a usage-based model introduced for customers who joined after February 2024 (Workato docs).

Quick facts:

• Public prices: Only Free ($0, 50K one-time credits) and Pro ($100/month, up to 3 users per workspace) are listed publicly (Workato).
• Connectors: 1,200+ pre-built connectors on every plan (Workato pricing).
• Certifications: SOC 1 Type II, SOC 2 Type II, SOC 3, ISO 27001, ISO 27701, ISO 42001, PCI DSS v4.0.1 Level 1, HIPAA with BAAs, IRAP and NIST 800-171A r2 (Workato security compliance).
• Data centers: US, EU, Japan, Singapore and Australia, with one account per regional data center.
• Reviews: 4.7 stars from 859 verified G2 reviews.

What users say: a September 2026 Capterra review says automation is straightforward once the user gets the hang of it, while a June 2025 review calls pricing “very expensive” with many connections or higher-tier features (Capterra).

Pros: the broadest certification list on this shortlist, regional hosting, and dev, test and production environments from Standard up. Cons: no public prices for the main editions, and reviewers describe a steep learning curve for complex recipes.

Gumloop

Gumloop describes itself as “an AI agent platform” that lets teams build AI-driven workflows on their tools and data, then run them on triggers, schedules and an API (Gumloop docs). Since 9 October 2026, users can describe what they want to Gumball, which builds or updates the workflow with its instructions, connectors and triggers.

Quick facts:

• Pricing: Pro starts at $37/month with 20,000 credits; Enterprise is custom (Gumloop pricing). The pricing page lists no free plan, and the 14-day Pro trial requires a card.
• Credit mechanics: 1 credit equals $0.005; an 8% orchestration fee applies (16% with your own model keys); unused credits roll over only on Enterprise (Gumloop credits).
• Concurrency on Pro: 5 concurrent workflow runs.
• Integrations: 300+ native integrations plus custom MCP servers.
• Compliance: SOC 2 Type II (audit period October 2025 to April 2026), HIPAA compliant with BAAs on eligible plans, EU-U.S. Data Privacy Framework, VPC deployment in the customer’s chosen region (Gumloop security).
• Reviews: 4.8 stars on G2, from only 7 reviews.

Pros: HIPAA BAAs and VPC deployment, plain-language workflow building, and unlimited seats. Cons: costs vary per run (Gumloop’s docs explain that “the same agent might cost 2 credits for a quick question and 200 for a deep research task,”), a smaller catalog than the older builders, and few public reviews.

Activepieces

Activepieces is the open-source route to cutting per-step costs. Its Community Edition is released under the MIT license, while code in the packages/ee directories falls under a commercial Activepieces Enterprise license (Activepieces LICENSE).

Quick facts:

• Pricing page: Free at $0 with daily credits and a hard cap; Plus at $16/month with up to 5 users; Team at $166/month with 25 users included; Ultimate on quote (Activepieces pricing). Activepieces’ own blog lists Plus at $20 and Team at $200, so check the billing period before budgeting.
• Billing unit: Activepieces says “a flow run is 1 credit whether it has two steps or ten.”
• Integrations: 772 pieces with 6,524 actions, all on every plan (Activepieces pieces).
• Self-hosting: Docker Compose with PostgreSQL and Redis, or an official Helm chart.
• Compliance: SOC 2 Type 2 listed as “In progress” on the Trust Center; no HIPAA or BAA claim; the docs identify Germany as the cloud region.
• Reviews: 4.8 stars from 142 verified G2 reviews.

Pros: per-run billing, an MIT core and unlimited flows on every tier. Cons: SOC 2 still in progress, G2 reviewers cite missing features and integrations (15 mentions), and pricing figures differ between the pricing page and the blog.

Microsoft Power Automate and Tray.ai

Microsoft Power Automate fits organizations already standardized on Microsoft 365. Premium costs $15.00 per user/month paid yearly and includes premium and custom connectors, attended desktop RPA and process mining storage; Process costs $150.00 per bot/month for unattended RPA; Hosted Process costs $215.00 per bot/month (Microsoft pricing). Flows that use only standard connectors can run on a Microsoft 365 license. A pay-as-you-go preview meter charges $0.60 per cloud flow run (Microsoft Learn). Microsoft lists the Power Automate cloud service under its HIPAA and HITECH coverage, and data stays inside the chosen macro region, including an EU Data Boundary option. Capterra users rate it 4.42 from 239 reviews.

Tray.ai fits mid-market and enterprise teams with complex integrations. Entry starts at $50 a month with Tray Helix Builder Edition; Tray iPaaS plans are a platform fee plus Tasks, “quoted rather than listed,” with no per-user or per-connection fees (Tray.ai). Tray.ai lists 700+ connectors, and its Merlin Agent Builder adds guardrails, audit logs and human approvals for AI-driven processes. Its trust page lists SOC 1 Type 2 and SOC 2 Type 2 examinations by Schellman covering 1 August 2024 to 31 July 2025, with the 2025 to 2026 examination underway, plus HIPAA, GDPR, CCPA and US, EU and APAC hosting (Tray.ai trust). G2 users rate it 4.5 from 158 reviews.

What the same workflow costs on each platform

The same workflow costs very different amounts on each platform because each one counts a different unit. The worked example below is an illustration, not a benchmark: it applies published list prices to one reference workflow. Substitute your own step counts and monthly runs to get your number.

The reference workflow has five steps: a form submission arrives by webhook, the workflow searches the CRM for the contact, creates or updates the record, posts a Slack message and appends a row to a Google Sheet. That consumes:

• Make: 5 credits per run, since reading webhook data and each module action count as one credit.
• Zapier: 4 tasks per run, since the trigger is free.
• n8n: 1 execution per run, regardless of steps.

At three monthly volumes, list prices produce these totals:

Pricing notes:

• Make: Make’s own pages conflict on the Core price. The pricing-page snippet and Make’s comparison pages show $9 for 10,000 credits ($0.90 per 1,000), while Make’s blog shows $12 ($1.20 per 1,000). The Free plan’s 1,000 credits do not cover even 500 runs.
• Zapier: Professional is $19.99/month billed annually for 750 tasks. Zapier’s January 2024 update gives a 1.25x pay-per-task rate, but its current help article says the rate depends on plan and billing cycle, so a current overage total cannot be verified. The $49 annual-billing figure for the 2,000-task Professional tier comes from Vendr’s pricing listing, not from Zapier. Zapier’s pricing page does not print prices for the 8,000 and 40,000 task tiers, so those totals cannot be computed from published figures.
• n8n Cloud: The pricing page shows Starter in dollars and Pro in euros. Overage “may apply” above the tier limit, and workflows keep running.
• n8n self-hosted: n8n’s Hetzner guide asks for at least 4 GB RAM and 2 vCPU when using the bundled sandbox runner. The server line excludes the hours spent on upgrades, backups and monitoring, which no source quantifies.

Adding another billable action increases Make’s credit count and Zapier’s task count; it does not change the execution or flow-run count on n8n or Activepieces. Viktor’s pricing is usage-based, with credits shared across the workspace and no per-seat fee.

Reliability, error handling and compliance

Each platform handles failed runs with its own mechanism: Zapier uses Autoreplay, n8n uses per-node Retry On Fail and error workflows, and Make uses error handlers and incomplete executions. Workato, Gumloop, Tray.ai and Power Automate list HIPAA coverage in their published compliance positions. Viktor’s controls center on approvals, integration access and spend limits.

Retry and webhook behavior per platform:

• Viktor: Sensitive actions wait on an approval card, and rejected actions never run.
• Zapier: Autoreplay retries a failed step at 5 minutes, then after 30 minutes, 1 hour, 3 hours and 6 hours, with no error email until the last attempt fails (Zapier help). Webhooks return 429 above 20,000 requests every 5 minutes per user, and Zapier may return 200 but delay processing by several minutes under high load (Zapier help).
• n8n: Each node has Retry On Fail with Max Tries and Wait Between Tries settings, and an error workflow starting with the Error Trigger can alert when an automatic run fails (n8n docs). On n8n Cloud, a webhook that does not respond within 100 seconds fails with status 524, and payloads cap at 16MB.
• Make: Incomplete executions are disabled by default, an error on the first module creates none without a Retry handler, and automatic retries for rate-limit, connection and timeout errors end 7 hours 51 minutes after the original run.

Published compliance positions differ more than the feature lists do:

Teams handling protected health information should rule out Viktor, Zapier, n8n Cloud and Activepieces on the BAA row alone. For everyone else, review Viktor’s security details, including SOC 2 Type 1 status, credential handling and approval controls.

AI agent platforms versus visual workflow builders

Visual builders still win on deterministic, high-volume routing, and AI decision layers win on jobs that need judgment across several tools. Gartner gives the same split: use AI agents “when decisions are needed, automation for routine workflows and assistants for simple retrieval” (Gartner, June 2025).

Analysts advise teams to limit autonomy until they can contain errors:

• Adoption: The 2026 Gartner CIO and Technology Executive Survey found that only 17% of organizations have deployed AI agents, while more than 60% expect to within two years (Gartner).
• Cancellations: Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027 because of cost, unclear value or weak risk controls.
• Reliability: Gartner writes that “most AI agents are not reliable enough to operate autonomously in complex or business-critical environments” and are best suited where errors can be contained (Gartner, October 2026).
• Benchmarks: The Stanford AI Index 2026 reports that AI agents “still fail roughly one in three attempts” on multistep tasks (Stanford HAI).
• Experimentation: McKinsey found 62% of respondents’ organizations at least experimenting with AI agents and 23% scaling an agentic system (McKinsey).

Those findings point to a practical rule. Keep a visual builder for work with one correct path, like copying a form submission into a CRM 10,000 times a month. Hand the job to an AI employee when the work changes week to week: the Monday report that needs a missing input chased, a data mismatch explained and a summary written for leadership.

Viktor is built for that second category, with containment Gartner’s advice calls for. Joining channels, changing integration access, setting spend limits and installing skills always require approval, and admins can forbid tools outright. The team sees a written skill it can inspect and edit, and a proposed scheduled task stays paused until someone approves it. For the category basics, see what an AI employee is.

How to choose the right Make.com alternative

Choose on five questions: what unit drives the bill, who fixes a failed run, whether data must stay on your own servers, whether the work needs judgment or only routing, and which certifications the security review requires. Most teams can eliminate half the list on the last question alone.

Budget considerations

Match the billing unit to the shape of your workflows:

• Per step (Make credits, Zapier tasks): Cheapest for short workflows at low volume; cost rises with every step added.
• Per run (n8n executions, Activepieces flow runs): Cheapest for long workflows; step count stops mattering.
• Per user or bot (Power Automate): Predictable for Microsoft 365 organizations; unattended RPA costs $150.00 per bot/month.
• Usage-based credits (Viktor, Gumloop): Spend varies with the size of each job; Viktor shares credits across the workspace with no per-seat fee, and spend limits with auto top-ups and a monthly cap keep usage predictable.

Self-hosting removes the license fee but not the cost. n8n’s documentation says self-hosting requires knowledge of servers and containers, scaling, and securing servers and applications. n8n ships a new minor version most weeks, and someone has to apply them.

Migration considerations

n8n states “there are currently no ready-made 1-click tools to translate Make scenarios into n8n workflows” (n8n blog), and Zapier says “migrating means rebuilding your scenarios as Zap workflows” (Zapier). Community converters exist, but the retrieved evidence establishes no official vendor importer.

A workable migration runs in this order:

1. Inventory and export. Export each scenario’s blueprint as a .json file from the Scenario Builder. Blueprints include modules, settings and mapped values, but no connection keys (Make Help Center).
2. Rank by risk. Move low-risk, low-complexity scenarios first and give each phase its own test and cutover plan.
3. Convert or rebuild. For n8n, the community tool migrate-to-n8n converts Make blueprints; its author reports that 83% of Make steps convert or need one check, a self-reported figure (n8n Community). For Zapier and Activepieces, rebuild by hand, and check that every Make connector has an equivalent first.
4. Recreate connections. Reconnect every app account on the new platform and store credentials in its credential manager, never inline.
5. Move webhooks. Every webhook gets a new URL, so update each external caller. In n8n, use the production URL, not the test URL, which stays active for only 120 seconds. Telegram and WhatsApp allow one webhook per app, so switching URLs overwrites the old one.
6. Plan data-store recreation. n8n data tables provide workflow storage, but the retrieved documentation establishes no direct migration path from Make data stores.
7. Run in parallel, then cut over. Run both versions on the same inputs, compare outputs, and turn off the Make scenario only after the new one matches.

For jobs handed to Viktor, teams describe the required result rather than translating scenario logic. The team connects tools once, describes each recurring job in plain language or records it once on screen, and approves the scheduled task he proposes. Start with one scenario that breaks often, and hand that job to Viktor free with up to $100 in credits, no credit card →

When staying on Make.com still makes sense

Make remains a sound choice when its scenarios are stable, its bill is small and the team likes the visual editor. Capterra’s analysis found reviewers consistently describe Make’s pricing as “more generous at the entry tier than Zapier for comparable workloads” (Capterra), and G2 reviewers call it affordable and beginner-friendly.

Staying fits these situations:

• Short, stable scenarios: A few modules each, against apps that rarely change their APIs.
• EU hosting needs: Make offers EU data zones on every tier, which Zapier and Viktor do not.
• Teams that already built error handling: Scenarios with Retry handlers and incomplete executions enabled already close the default error-handling gaps, though API deprecations and connection drops still need manual fixes.
• Large existing libraries: Rebuilding hundreds of working scenarios costs more than the savings for many teams.
• Unlimited users: Every Make tier includes unlimited users, unlike Zapier Professional or Power Automate per-user licensing.

Many teams split the work: keep Make for high-volume routing and hand judgment-heavy recurring jobs to an AI employee.

Final recommendations

The right pick follows from who maintains the work today and what the security review demands:

• Team wanting delegated execution over building logic: Choose Viktor. He takes plain-language jobs across 9,800+ tools in Slack and Microsoft Teams and returns finished reports, records and follow-ups, with approvals on sensitive actions. Teams that need HIPAA BAAs, SCIM or EU data residency should look elsewhere.
• Technical team focused on cost and data ownership: Choose n8n, self-hosted or on Cloud, if someone on the team will own upgrades and security.
• Non-technical team with deterministic workflows: Choose Zapier for its catalog and free logic steps, and watch AI-step and pay-per-task usage.
• Enterprise IT with strict compliance: Choose Workato for its certification list and regional data centers, Power Automate for Microsoft 365 estates, or Tray.ai for quoted platform pricing with no per-user fees.
• Healthcare or VPC requirements with AI workflows: Choose Gumloop for BAAs and customer-VPC deployment.
• Budget-first teams that want an open-source core: Choose Activepieces for per-run billing and MIT-licensed self-hosting.

FAQ

Billing units, self-hosting licenses and compliance requirements determine which Make alternative fits a team’s recurring work.

Why do teams leave Make.com?

Teams leave over three costs: credits that multiply with every module and run, scenarios that break when connected apps change their APIs or logins, and error handling that stays off until configured scenario by scenario.

How do Make, Zapier and n8n compare?

Make charges a credit per module action, Zapier charges a task per successful action step with triggers and logic steps free, and n8n charges one execution per full workflow run. n8n can also be self-hosted on a team’s own servers.

Which open-source or self-hosted options replace Make?

Activepieces has an MIT-licensed Community Edition that self-hosts on Docker Compose or Kubernetes. n8n self-hosts too, but its Sustainable Use License is fair-code, not OSI open source, and restricts offering n8n as a hosted service.

What is the difference between operation-based and execution-based pricing?

Operation-based pricing (Make credits, Zapier tasks) bills each step, so a ten-step workflow costs about ten times a one-step workflow per run. Execution-based pricing (n8n, Activepieces) bills each complete run, so step count does not change the bill.

Which Make.com alternative is best for enterprise?

Workato has the broadest published certification list, including HIPAA BAAs and PCI DSS Level 1. Power Automate suits Microsoft 365 organizations needing EU Data Boundary residency, and Tray.ai offers US, EU and APAC hosting. For company-wide delegated work in Slack or Teams, Viktor’s Enterprise plan adds audit logs, SAML SSO and per-user spend caps.

How do you migrate from Make to another platform?

Export each scenario blueprint as JSON, migrate low-risk scenarios first, rebuild or convert the logic, reconnect every app account, update external callers with the new webhook URLs, plan data-store recreation, and run old and new versions side by side before switching off Make.

Do AI agents replace visual workflow builders?

Not for every job. Gartner recommends AI where decisions are needed and conventional automation for routine workflows. Visual builders stay strong for fixed, high-volume routing; an AI employee such as Viktor fits recurring jobs that need judgment, cross-tool context and a finished deliverable.

Pick one Make scenario that eats the most maintenance time each month and hand that job to Viktor this week. Start free with up to $100 in credits, no credit card required.