Activepieces vs Make
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentActivepieces compared with Make
Make offers the most expressive visual canvas in the category, with routers, iterators, aggregators, and error-handling paths that make complex data reshaping tractable inside the UI. Activepieces is less visually capable and expects you to drop into a TypeScript code step at that point, which technical teams often prefer. Make also meters operations per module rather than per run, so a heavy scenario burns budget faster. Choose Make for intricate no-code data flows, Activepieces for engineering control and self-hosting.
Choose Activepieces if
Technically comfortable small teams and GTM engineers who have outgrown per-task automation pricing and want either a cheap credit-metered cloud or a self-hosted instance they fully control, with an escape hatch into TypeScript when a native integration does not exist.
Choose Make if
Visually-minded builders and cost-conscious teams who need real workflow logic, branching, iteration, error handling, without writing code, especially agencies and SMBs whose per-month automation budget is closer to $20 than $200.
Side by side
13 attributes| Attribute | Activepieces | Make |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free on cloud (daily credit allowance, one user) or free forever self-hosted; Plus from $16 per month billed yearly (free plan available) | $9/mo (Core, 10,000 operations, annual billing) (free plan available) |
| Pricing model | Two tracks. The hosted cloud is metered in credits: one credit per flow run regardless of how many steps it contains, one per agentic action, and two to twenty per AI model call unless you bring your own model key. Seats are included up to a per-tier cap and charged beyond it. The self-hosted Community Edition is MIT licensed and free with no credit meter or run cap, but excludes agents, chat, projects, API access, and the team and admin features; paid self-hosted licenses restore those. | Freemium with operations-based metering: every module execution consumes one operation from a monthly allowance. Tiers scale the allowance, minimum scheduling interval, and team features; operations can be topped up, and unused allowance policies vary by tier. Prices quoted for annual billing; monthly billing runs higher. |
| Free plan | Cloud Free: one user, a daily credit allowance that resets each day, with flows, agents, chat, tables, MCPs, and API access included. Self-hosted Community Edition: unlimited runs, no credit meter, but no agents, chat, projects, or API access. | 1,000 operations/month, two active scenarios, 15-minute minimum interval |
| Free trial | Free plan rather than a time-limited trial; the open-source edition can be run indefinitely | Free plan serves as the trial; paid features preview via plan upgrades |
| Best for | Technically comfortable small teams and GTM engineers who have outgrown per-task automation pricing and want either a cheap credit-metered cloud or a self-hosted instance they fully control, with an escape hatch into TypeScript when a native integration does not exist. | Visually-minded builders and cost-conscious teams who need real workflow logic, branching, iteration, error handling, without writing code, especially agencies and SMBs whose per-month automation budget is closer to $20 than $200. |
| Setup time | Cloud signup to first working flow is under an hour. Self-hosting is roughly 15 to 30 minutes on a fresh VPS with Docker and Postgres for someone who has deployed a Compose stack before, plus the usual work of a domain, TLS, and SMTP configuration for invitations and alerts. | Under an hour to a first live scenario for anyone who has used any automation tool; the template library shortcuts common patterns. Complex scenarios with error handling are a day of iterative building, made faster by per-module test runs. |
| Learning curve | Low for linear flows; the builder is deliberately close to Zapier in feel. The real curve is data mapping across steps and knowing when to stop fighting the visual layer and write a code step. Writing a custom piece assumes working TypeScript and npm familiarity, and the documentation for it is thinner than the task deserves. | Moderate: the canvas and mapping panel are intuitive within hours, while iterators, aggregators, and error-handler semantics reward a deliberate afternoon with the docs. Sits clearly between Zapier's near-zero curve and n8n's technical one. |
| Platforms | Web application (cloud), Self-hosted via Docker Compose, Kubernetes and Helm, One-click deploys on common VPS and PaaS providers | Web app, REST API, Developer platform (custom apps) |
| Compliance | SOC 2 Type II, GDPR | SOC 2, GDPR, ISO 27001 |
| Founded | 2022 | 2016 |
| Headquarters | San Francisco, California | Prague, Czech Republic |
| Ownership | Independent, venture-backed (Y Combinator W2023) | Subsidiary of Celonis (acquired 2020) |
Strengths and limitations
Activepieces
Strengths
- Genuinely open source under MIT, not source-available, so self-hosting carries no licensing ambiguity for commercial use.
- Credits meter flow runs rather than individual steps, which removes the incentive to keep automations artificially short.
- The TypeScript pieces framework makes writing a custom integration a normal development task rather than a platform hack.
- Flows, AI agents, a built-in table store, and MCP tool serving share one connection layer, so credentials are configured once.
Limitations
- The Community Edition withholds agents, chat, projects, API access, SSO, roles, and audit logs, so self-hosting for free means a materially smaller product than the cloud.
- Piece quality is uneven: the library is broad because it is community-contributed, and depth of action coverage and maintenance vary considerably between popular and obscure integrations.
- Documentation thins out fast beyond the common path; writing custom pieces, complex data mapping, and production scaling are under-documented relative to the effort they take.
- The Node.js execution engine is not competitive on compute-heavy work with scripting platforms built on faster runtimes.
Make
Strengths
- The best power-per-dollar in mainstream automation: full logic primitives on a $9 tier, and a genuinely usable free plan.
- The visual canvas makes complex flows legible; routers, iterators, aggregators, and error handlers are native drag-and-drop, not workarounds.
- Operations pricing is transparent while you build: the editor shows what each run costs, making optimization a visible activity.
- Deep per-app modules: integrations typically expose many actions and searches, not token connectors.
Limitations
- Per-operation metering still bills every step, so Make loses the long-pipeline economics contest to n8n's per-execution model at scale.
- The ~2,000-app catalog covers the mainstream but concedes the long tail; niche-tool buyers routinely end up on Zapier anyway.
- The canvas intimidates true beginners relative to Zapier's guided linear editor, and error-handler semantics take study to use well.
- No self-hosted option; EU region processing exists but the platform is cloud-only.
Pricing compared
Activepieces
Two tracks. The hosted cloud is metered in credits: one credit per flow run regardless of how many steps it contains, one per agentic action, and two to twenty per AI model call unless you bring your own model key. Seats are included up to a per-tier cap and charged beyond it. The self-hosted Community Edition is MIT licensed and free with no credit meter or run cap, but excludes agents, chat, projects, API access, and the team and admin features; paid self-hosted licenses restore those.
- Free (cloud)$0
- Plus$16
- Team$166
- UltimateCustom
- Community Edition (self-hosted)$0
Judged per dollar, Activepieces is among the strongest offers in automation, provided you fit one of its two shapes. If you self-host, the marginal cost of an additional flow or an additional million runs is the hardware, which is a fundamentally better curve than any per-task vendor can offer; the bill for a busy small business is a VPS, not a subscription. If you use the cloud, one credit per run rather than per step means complex flows stop being punished, and $16 a month buys a workload that would cost several times that on task-metered competitors. What you give up is polish and breadth: fewer templates, community-maintained pieces of uneven depth, and thinner documentation once you leave the common path. The Team tier at $166 is the least compelling point in the range, since it is a ten-times step for projects, SSO, and roles that many small teams do not need.
Make
Freemium with operations-based metering: every module execution consumes one operation from a monthly allowance. Tiers scale the allowance, minimum scheduling interval, and team features; operations can be topped up, and unused allowance policies vary by tier. Prices quoted for annual billing; monthly billing runs higher.
- Free$0
- CoreFrom $9
- ProFrom $16
- TeamsFrom $29
- EnterpriseCustom
Make's claim to Best Value is straightforward arithmetic plus real capability: routers, iterators, and error handlers, the features that gate 'serious' automation elsewhere, are included from the free tier up, and the per-operation price at entry undercuts every comparable rival. For most SMB workloads (moderate volume, moderately complex scenarios) it delivers 90% of what either neighbor offers at clearly the lowest bill. The value case weakens at the two edges: long-tail app coverage (Zapier's game) and very long high-volume pipelines, where per-execution n8n beats any per-step meter, Make's included.
Editorial verdict on each
Activepieces
Activepieces is the cleanest answer available to a specific frustration: automation priced per task, running on someone else's server, with no way to write a real integration when one is missing. It is MIT licensed rather than source-available, meters cloud usage per run rather than per step, and self-hosts on a Docker stack that a small business can afford to run indefinitely. The pieces framework turns a missing integration from a dead end into a day of TypeScript. The costs are equally clear. The free self-hosted edition is deliberately smaller than the cloud, holding back agents, projects, and API access, so open source here does not mean feature-complete. Piece quality varies because the library is community-built, documentation thins out exactly where self-hosting teams need it most, and the price step from $16 to $166 leaves no middle ground for a team that wants SSO without 25 seats. Buy it if someone on the team is comfortable with Docker and TypeScript, and the automation volume is high enough that per-task billing has become an engineering problem. Stay on a hosted, task-metered tool if it is not.
Read the full Activepieces profileMake
Best ValueMake is the category's honest bargain: the logic primitives that make automation genuinely programmatic, branching, iteration, aggregation, error handling, delivered visually, included at every tier, and priced beneath everyone. For the typical SMB workload it does 90% of what either neighbor does at clearly the lowest bill, with an EU-residency option nobody else offers self-serve. Its concessions are the catalog's long tail (Zapier's) and long-pipeline unit economics plus AI-agent depth (n8n's), which mark the two exits power users eventually take. Between those edges sits most of the market, and for it, Make is the value pick without much argument.
Read the full Make profileActivepieces profile last reviewed 2026-08-23; Make last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.