Activepieces vs n8n
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 n8n
The closest comparison and the most common decision. Both are self-hostable node-based automation platforms with strong AI agent stories. n8n has a larger community, more templates, a longer track record, and a more capable expression and data-transformation layer, but it is source-available under a Sustainable Use License with commercial restrictions rather than MIT. Activepieces is more permissively licensed, cleaner for a non-developer to read, and cheaper on cloud at the entry tier. Teams that want maximum ecosystem and data-wrangling power pick n8n; teams that want an unambiguous open-source license and a simpler builder pick Activepieces.
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 n8n if
Technical or semi-technical teams building long, multi-step automations, enrichment waterfalls, AI agents, and internal integrations, who want per-execution economics in the cloud or full data control self-hosted, and who are comfortable reading JSON when something breaks.
Side by side
13 attributes| Attribute | Activepieces | n8n |
|---|---|---|
| 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) | About $24/mo (Cloud Starter, 2,500 executions; roughly $20 on 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. | Two paths. Cloud: subscription tiers metered by workflow executions per month (a run is one execution regardless of step count), with unlimited workflows and steps on every tier. Self-hosted: the Community edition is free under the fair-code Sustainable Use License, with paid Business and Enterprise self-hosted tiers adding collaboration, SSO, environments, and support. Prices are quoted in euros; dollar figures shift slightly with exchange rates. |
| 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. | Self-hosted Community edition is free and unmetered on your own infrastructure |
| Free trial | Free plan rather than a time-limited trial; the open-source edition can be run indefinitely | Cloud trial, no card required |
| 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. | Technical or semi-technical teams building long, multi-step automations, enrichment waterfalls, AI agents, and internal integrations, who want per-execution economics in the cloud or full data control self-hosted, and who are comfortable reading JSON when something breaks. |
| 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. | Cloud: minutes to sign up, and a first webhook-to-Slack workflow the same hour. Self-hosted: a Docker one-liner for a test instance; a hardened production deployment with backups and HTTPS is a half-day for someone who has run containers before. |
| 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. | Steeper than task-based tools: expect a few days to internalize items, expressions, and node data mapping, typically via imported templates. Engineers acclimate almost immediately; operators without API experience need the templates and patience. |
| Platforms | Web application (cloud), Self-hosted via Docker Compose, Kubernetes and Helm, One-click deploys on common VPS and PaaS providers | Web app (cloud), Self-hosted (Docker, npm), Embedded (commercial license), REST API |
| Compliance | SOC 2 Type II, GDPR | SOC 2, GDPR |
| Founded | 2022 | 2019 |
| Headquarters | San Francisco, California | Berlin, Germany |
| Ownership | Independent, venture-backed (Y Combinator W2023) | Venture-backed, founder-led |
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.
n8n
Strengths
- Per-execution pricing inverts the category's cost model; long, complex workflows, exactly the kind GTM engineering produces, are where it is cheapest relative to rivals.
- Free self-hosted Community edition provides a permanent exit ramp and full data sovereignty, a structural negotiating position no closed rival offers.
- Code nodes and the HTTP Request node remove the capability ceiling; if an API exists, n8n can drive it without leaving the canvas.
- LangChain-based agent nodes made it one of the fastest paths from 'AI idea' to 'AI in production', with approvals, retries, and logging around the model.
Limitations
- The learning curve is real: items, expressions, and JSON structure confront you in week one, and non-technical users often stall where Zapier would have carried them.
- The integration catalog (400+) is an order of magnitude smaller than Zapier's; long-tail SaaS tools frequently mean building against the raw API via the HTTP node.
- Fair-code is not open source by OSI definition, which complicates some corporate policies and community expectations, and the license debate resurfaces periodically.
- Cloud Starter's 2,500 executions can pinch for high-frequency polling triggers; trigger design (webhooks over polling) becomes a cost skill.
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.
n8n
Two paths. Cloud: subscription tiers metered by workflow executions per month (a run is one execution regardless of step count), with unlimited workflows and steps on every tier. Self-hosted: the Community edition is free under the fair-code Sustainable Use License, with paid Business and Enterprise self-hosted tiers adding collaboration, SSO, environments, and support. Prices are quoted in euros; dollar figures shift slightly with exchange rates.
- Community (self-hosted)Free
- Starter (Cloud)~€20 to €24
- Pro (Cloud)~€50 to €60
- Business / EnterpriseCustom
For long workflows, nothing in the category touches n8n's economics: the per-execution meter makes a 40-step enrichment waterfall cost the same as a 2-step alert, and the same pipeline on task or operation pricing can cost ten to fifty times more at identical volume. Against that, the true cost is skill: n8n assumes you can read JSON, debug an HTTP call, and occasionally write a line of code. Teams with that skill get Zapier-class capability at a fraction of the spend, plus a free self-hosted exit ramp that caps vendor risk permanently. Teams without it will burn the savings in time.
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 profilen8n
Momentumn8n is what the automation category looks like when it is priced and licensed in the buyer's favor: pay per run instead of per step, read the source, and leave for your own server whenever you like. For the GTM engineer building long enrichment waterfalls and AI-agent workflows, those three facts compound into the category's best deal, and the LangChain-native agent tooling has made it the default engine of the DIY stack. The honest cost is skill: it asks more of you in week one than Zapier ever will, and its integration catalog still leans on the HTTP node for the long tail. Teams with a technical operator should default here; teams without one should pay the Zapier tax knowingly.
Read the full n8n profileActivepieces profile last reviewed 2026-08-23; n8n last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.