Make vs Activepieces

Pricing: per-op cloud vs free self-host

The billing meters differ. Make uses credits, with most non-AI module operations consuming one credit and some AI or advanced features using different rules. Activepieces Cloud uses its current execution and feature allowances, while self-hosting shifts cost to infrastructure and operations. Compare current plan documentation with a representative run trace.

The cost comparison depends on Make credit rules, Activepieces edition, infrastructure, workflow steps, retries, and operating effort. Model a representative workflow instead of using a fixed volume crossover.

Self-hosting and licensing

clear one-line difference: Activepieces self-hosts under MIT; Make does not self-host at any price. If you need on-prem, air-gapped, EU-only residency, or simply the right to own the runtime, Make is disqualified. Activepieces runs in Docker or via Helm on Kubernetes, stores state in Postgres, and is genuinely free for unlimited workflows.

Real MIT is rare here -- most open-source workflow tools are fair-code, source-available, or open-core with paid features behind a license. Activepieces releases the whole runtime under MIT, so you can fork, white-label, or embed it in a product. That is a structurally different position from Make and from most so-called open-source competitors.

Workflow complexity and developer flexibility

Make has an edge when teams need routers, iterators, aggregators, and nested error handlers as first-class visual modules. Activepieces provides branches, loops, and step inspection. Test a representative complex flow with the people who will maintain it instead of using a fixed step-count threshold.

Developer flexibility inverts it. Activepieces Code pieces accept JavaScript with full upstream data access, feel first-class, and can be promoted to contributable TypeScript pieces. Make has Custom Apps (a separate authoring environment behind a paid tier) and an HTTP module, but writing real logic inside a scenario fights the canvas. When custom logic is central to the workflow, Activepieces is the more direct fit.

Integrations, AI, and debugging

Make listed 3,000+ apps and Activepieces listed 760+ pieces when verified 2026-09-20. For mainstream SaaS both may cover the requirement; Make has the larger published catalog, while Activepieces can fall back to HTTP or custom pieces. Audit the exact triggers, actions, authentication, and deployment support because catalog size alone does not establish fit.

Debugging splits by audience. Make has the more polished review experience for operators -- execution history with per-module data and clear visual replay for reading what happened on yesterday run. Activepieces exposes step-level JSON inline and lets engineers re-run individual steps with edited inputs, faster for active building. Slight edge to Activepieces for technical iteration, to Make for operator review; choose by who maintains the workflows day to day.

Lock-in, migration, and our take

The lock-in contrast is structural, not marginal. Make is high lock-in -- proprietary scenarios, no portable export, no self-host at any price; if pricing or direction shifts you stay or rebuild. Activepieces is the lowest in the category -- MIT source on GitHub, flows export to JSON you can commit to Git, self-host means the runtime is yours; if the company changed direction your flows keep running. Migration has no importer either way, but Make to Activepieces is straightforward for typical scenarios (triggers, actions, filters, routers map onto flows; Custom Apps become Code pieces). A hybrid split is legitimate: operator-owned visual workflows on Make, high-volume or compliance-sensitive or code-heavy workflows on self-hosted Activepieces.

These tools serve different maintainers. Ask two questions: do non-technical owners need to build or read the workflows, and does owning the runtime matter? Activepieces is a candidate when MIT licensing and self-hosting are requirements; Make is a candidate when workflow ownership lives outside engineering and a managed visual canvas matters. Make has a larger published catalog, while Activepieces self-hosting adds real operational work.