Activepieces vs Make: Which Automation Platform Is Right for You?

What Are Activepieces and Make?

Both platforms solve the same core problem: connect SaaS apps and automate repetitive work without code. But they take opposite paths.

Make is a proprietary cloud platform built for visual complexity. Its canvas supports free-form routing, iterators, aggregators, and multi-branch logic. It has 3,000+ integrations and is managed entirely by Make—no servers to run, no backups to worry about.

Activepieces is open-source (MIT licensed) and self-hosted-first. You can run it in your own infrastructure (Docker, Coolify, AWS) or use their managed cloud. It has 760+ integrations, a simpler linear workflow builder, and AI-first architecture with native MCP support for agents.

Neither is wrong. They are built for different trade-offs: Make chooses convenience and feature depth. Activepieces chooses openness and cost.

Feature Comparison: Activepieces vs Make

The most significant difference is the pricing model. Make charges per action. Activepieces charges per workflow run.

Pricing Models: Where the Platforms Diverge

Make's per-module approach:

Each action inside a Make scenario (HTTP request, data mapper, condition, etc.) consumes one credit. A workflow with 8 modules running hourly uses 8 x 24 x 30 = 5,760 credits monthly. Make's Core plan includes 10,000 credits at $10.59/month, so this fits barely. Add an iterator looping over 50 items 30 times a day and you are at 50 x 30 x 30 = 45,000 credits. You will need the Pro tier ($18.82/mo) or custom plan.

Make's advantage: unlimited users on paid plans, so team scaling does not add headcount costs. The disadvantage: cost scales with workflow complexity, and complexity is invisible until the bill arrives.

Activepieces' per-flow-run model:

One workflow run = one credit, regardless of step count. A 100-step workflow costs the same as a 2-step workflow. Free tier: 1,000 credits monthly. Plus tier: $20/month for 10,000 credits, with $0.007 per extra credit. Team tier: $200/month for 50,000 credits and up to 25 users.

The advantage: simple cost forecasting. Run 5,000 workflows a month? That is 5,000 credits. The disadvantage: AI models cost extra (2-20 credits depending on model size), and the $200 Team tier for governance features is steep relative to the Plus tier.

The self-hosting question:

Activepieces' Community Edition is completely free (MIT license), with no credit metering. The trade-off is total: you own the servers, databases, backups, SSL certificates, security patches, and monitoring. For a small team running 100 workflows daily, that is typically $300-$800/month in infrastructure alone, plus 10-20 hours of monthly ops work. For enterprise scale, self-hosting Activepieces can eventually beat cloud pricing. For teams under 50 people, the hidden ops cost usually outweighs the software savings.

When to Choose Make vs Activepieces vs n8n

Choose Make if you need:

Advanced visual orchestration (routers, multi-branch logic, error handlers, iterators) for workflows with 20+ decision points. The broadest integration catalog (3,000+ apps including niche enterprise tools). Zero infrastructure management and fully managed cloud. Unlimited team users under one paid plan. AI Agents and natural-language scenario builder (Maia).

Make is the safest choice for non-technical teams building intricate automations. The cost is predictability on the front end, and potential cost surprises on the back end if workflows become complex.

Choose Activepieces if you:

Want open-source automation with full control and customization (MIT license). Prefer self-hosting for data residency or compliance reasons, and have DevOps resources to support it. Value a simpler, linear workflow builder (easier onboarding for non-technical users). Do not need the broadest integration catalog (760 covers most SaaS workflows). Are comfortable with managing updates, backups, and scaling yourself.

Activepieces shines for early-stage startups and enterprises with existing infrastructure and compliance mandates. The cost is zero software. The hidden cost is infrastructure and operations.

Choose n8n (managed on Opsily) if you want the best of both:

Open-source automation without self-hosting overhead (we handle infrastructure, backups, updates). Execution-based pricing that will not surprise you (one execution = one workflow run, regardless of steps). 1,500+ integrations (fewer than Make, but more than enough for 95% of SaaS workflows). Native code steps (Node.js) for custom logic without leaving the platform. EU GDPR compliance out of the box (Frankfurt data centers). Fair-code license (you are not locked in to us; you can export everything and self-host later).

n8n hosted on Opsily is for teams that want flexibility without DevOps burden, or who have been burned by Make's per-module pricing model. You get the openness of Activepieces and the reliability of Make, at a middle-ground price.