Make vs Activepieces

Pricing: per-op cloud vs free self-host

The most consequential difference and the one that drives most migrations. Make bills per operation -- every module in a scenario counts as one op per run. Activepieces Cloud bills per execution (one workflow run = one execution, regardless of steps); self-hosted Activepieces has no per-run fee at all.

The math that matters: a 5-step workflow firing 1,000 times/month is ~5,000 ops on Make versus 1,000 executions on Activepieces -- and free at the runtime on self-host. The math swings toward Activepieces somewhere around 2,000-5,000 ops/month for most teams; by 20k+/month self-hosted Activepieces is dramatically cheaper. Under ~1k ops/month either tool fits a team budget.

Self-hosting and licensing

Cleanest 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 wins on visual polish and battle-tested complexity primitives: routers, iterators, aggregators, and nested error handlers as first-class modules on a smooth canvas anyone can read. For workflows up to ~15-20 steps Activepieces is a fine visual experience with branches, loops, and step-by-step inspection; for 30+ step scenarios with deep nesting Make still has the edge -- though at that complexity n8n or Pipedream are often better fits than either.

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. For workflows that are 30%+ custom logic, Activepieces is the more honest choice.

Integrations, AI, and debugging

Make has ~1,800+ pre-built apps versus Activepieces ~280+ first-party pieces plus a community catalog and a generic HTTP piece for any REST API. For mainstream SaaS both cover what most teams use; Make wins on long-tail SaaS it has spent years cataloging, and Activepieces closes the gap with HTTP. Audit your actual app list -- catalog size only matters for the apps you use. On AI the two are roughly tied for typical summarize-and-post patterns (Make AI modules on the canvas; Activepieces native AI step plus growing LLM pieces); neither is purpose-built for agentic work.

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.

Our take: these tools serve different humans and the choice rarely hinges on raw capability -- both are production-grade. Ask two questions honestly: do non-technical owners need to build or read the workflows, and does owning the runtime matter? For most developer-led teams starting fresh in 2026, Activepieces is the better long-term bet (MIT, self-host, per-execution Cloud pricing). For teams where workflow ownership lives outside engineering (marketing, RevOps, CS), Make polished canvas earns its keep. Two caveats: Make catalog advantage is real for long-tail SaaS, and Activepieces self-host is real operational work.